{"id":1898,"date":"2024-04-09T12:36:45","date_gmt":"2024-04-09T04:36:45","guid":{"rendered":"https:\/\/www.gyxwsjdxh.com\/?p=1898"},"modified":"2024-04-09T12:36:45","modified_gmt":"2024-04-09T04:36:45","slug":"%e4%b8%8d%e4%b8%80%e6%a0%b7%e7%9a%84%e6%b3%a8%e6%84%8f%e5%8a%9b%ef%bc%9a%e4%ba%ba%e6%9c%ba%e4%ba%a4%e4%ba%92%e6%b3%a8%e6%84%8f%e5%8a%9b%e7%9a%84%e6%b5%8b%e9%87%8f%e6%8c%87%e6%a0%87","status":"publish","type":"post","link":"https:\/\/www.gyxwsjdxh.com\/1898.html","title":{"rendered":"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528"},"content":{"rendered":"\n

\n

\u539f\u521b Synced \u673a\u5668\u4e4b\u5fc3<\/p>\n

\u673a\u5668\u4e4b\u5fc3\u5206\u6790\u5e08\u7f51\u7edc<\/p>\n

\u4f5c\u8005\uff1a\u4ef5\u5180\u9896<\/p>\n

\u7f16\u8f91\uff1aJoni Zhong<\/p>\n

\u672c\u6587\u5c06\u63a2\u8ba8\u4eba\u673a\u4ea4\u4e92\u4e2d\u7684\u6ce8\u610f\u529b\u95ee\u9898\u3002<\/p>\n

\u672c\u6587\u6211\u4eec\u5173\u6ce8\u6ce8\u610f\u529b\uff08Attention\uff09\u95ee\u9898\u3002\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u8c08\u5230\u7684\u6ce8\u610f\u529b\u4e0e\u5927\u5bb6\u975e\u5e38\u719f\u6089\u7684\u673a\u5668\u5b66\u4e60\u4e2d\u7684\u6ce8\u610f\u529b\u6a21\u578b\uff08Attention Model\uff0cAM\uff09\u4e0d\u540c\uff0c\u672c\u6587\u8ba8\u8bba\u7684\u662f\u4eba\u673a\u4ea4\u4e92\u4e2d\u7684\u6ce8\u610f\u529b\u95ee\u9898\u3002<\/p>\n

\u4eba\u673a\u4ea4\u4e92\u4e2d\u7684\u8fd9\u79cd\u6ce8\u610f\u529b\u4e5f\u88ab\u79f0\u4e3a\u662f\u7528\u6237\u7684\u5173\u6ce8\u7126\u70b9\uff08Users focus Of Attention\uff09\u3002\u4eba\u673a\u4ea4\u4e92\u4e2d\u7684\u6ce8\u610f\u529b\u662f\u6784\u9020\u793e\u4ea4\u673a\u5668\u4eba\uff08Social Robot\uff09\u7684\u91cd\u8981\u95ee\u9898\uff0c\u4e5f\u5728\u666e\u9002\u8ba1\u7b97\u548c\u667a\u80fd\u7a7a\u95f4\u7b49\u4eba\u673a\u4ea4\u4e92\u5e94\u7528\u4e2d\u8d77\u5230\u975e\u5e38\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u56e0\u4e3a\u5728\u8fd9\u4e9b\u5e94\u7528\u4e2d\uff0c\u5fc5\u987b\u80fd\u591f\u6301\u7eed\u7684\u76d1\u63a7\u7528\u6237\u7684\u76ee\u6807\u548c\u610f\u56fe\u3002<\/p>\n

\u901a\u8fc7\u5f15\u5165\u5e76\u6709\u6548\u6d4b\u91cf\u6ce8\u610f\u529b\uff0c\u80fd\u591f\u6539\u8fdb\u4eba\u673a\u4ea4\u4e92\u7684\u65b9\u5f0f\u3001\u6548\u7387\u548c\u6548\u679c\u3002\u4e00\u822c\u8ba4\u4e3a\uff0c\u4e3b\u8981\u901a\u8fc7\u773c\u775b\u6ce8\u89c6\uff08Eye gaze\uff09\u548c\u5934\u90e8\u59ff\u52bf\u52a8\u6001\uff08Head\uff09\u7b49\u6765\u786e\u5b9a\u6ce8\u610f\u529b [1]\u3002\u9488\u5bf9\u8fd9\u4e9b\u6d4b\u91cf\u6307\u6807\uff0c\u7814\u7a76\u8005\u9700\u8981\u7ed3\u5408\u673a\u5668\u89c6\u89c9\u548c\u5176\u4ed6\u4f20\u611f\u6280\u672f\uff0c\u6d4b\u91cf\u548c\u8ba1\u7b97\u4ea4\u4e92\u4e2d\u7684\u6ce8\u610f\u529b\u6307\u6807\uff0c\u5e76\u4e14\u5229\u7528\u8fd9\u4e9b\u6307\u6807\u5bf9\u673a\u5668\u4eba\u7684\u884c\u4e3a\u8fdb\u884c\u63a7\u5236\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u8fd9\u4e9b\u6307\u6807\u4e5f\u53ef\u4ee5\u4f5c\u4e3a\u8861\u91cf\u793e\u4ea4\u673a\u5668\u4eba\u6216\u8005\u673a\u5668\u4eba\u8f85\u52a9\u6cbb\u7597\u4e2d\u7684\u6548\u679c\u3002<\/p>\n

\u672c\u6587\u9996\u5148\u4ecb\u7ecd\u4e86\u4e00\u79cd\u7528\u4e8e\u793e\u4ea4\u673a\u5668\u4eba\u7684\u4eba\u673a\u4ea4\u4e92\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u6839\u636e\u76ee\u6807\u4eba\u5f53\u524d\u7684\u89c6\u89c9\u6ce8\u610f\u529b\u7126\u70b9\u6765\u5438\u5f15\u548c\u63a7\u5236\u76ee\u6807\u4eba\u7684\u6ce8\u610f\u529b\uff0c\u4ece\u800c\u5efa\u7acb\u4eba\u548c\u673a\u5668\u4eba\u4e4b\u95f4\u7684\u6c9f\u901a\u6e20\u9053\u3002\u8fd9\u4e5f\u662f\u793e\u4ea4\u673a\u5668\u4eba\u4e2d\u6ce8\u610f\u529b\u7684\u6700\u76f4\u63a5\u7684\u7814\u7a76\u548c\u5e94\u7528\u3002\u6b64\u5916\uff0c\u672c\u6587\u8fd8\u4ecb\u7ecd\u4e86\u4e24\u4e2a\u5728\u4eba\u4e0e\u673a\u5668\u4ea4\u6d41\u573a\u666f\u4e2d\u7684\u6ce8\u610f\u529b\u5e94\u7528\uff0c\u4e00\u662f\u5c06\u6ce8\u610f\u529b\u5e94\u7528\u4e8e\u5728\u7ebf\u6559\u80b2\u6548\u679c\u7684\u8bc4\u4f30\uff0c\u53e6\u4e00\u4e2a\u662f\u5728\u673a\u5668\u4eba\u589e\u5f3a\u6cbb\u7597\u4e2d\u5f00\u53d1\u81ea\u95ed\u75c7\u513f\u7ae5\u7684\u8054\u5408\u6ce8\u610f\u529b\uff08Joint Attention\uff0cJA\uff09\u3002<\/p>\n

\u4e00\u3001Supporting Human\u2013Robot Interaction Based on the Level of Visual Focus of Attention<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe\"<\/p>\n <\/div>\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/ieeexplore.ieee.org\/abstract\/document\/7151799

\u5728\u793e\u4ea4\u673a\u5668\u4eba\u7684\u6784\u9020\u8fc7\u7a0b\u4e2d\uff0c\u4e3a\u4e86\u4f7f\u673a\u5668\u4eba\u80fd\u591f\u5728\u670d\u52a1\u5e94\u7528\u7a0b\u5e8f\u6216\u534f\u4f5c\u5de5\u4f5c\u573a\u666f\u4e2d\u4e0e\u4eba\u7c7b\u8fdb\u884c\u6709\u6548\u7684\u4ea4\u4e92\uff0c\u5e94\u8be5\u5c06\u8fd9\u4e9b\u673a\u5668\u4eba\u89c6\u4e3a\u793e\u4f1a\u53c2\u4e0e\u8005\uff0c\u5e76\u8868\u73b0\u51fa\u793e\u4f1a\u667a\u80fd\u548c\u610f\u8bc6\u3002\u672c\u6587\u63d0\u51fa\u4e86\u4e00\u79cd\u667a\u80fd\u7684\u793e\u4ea4\u673a\u5668\u4eba\u5de5\u4f5c\u65b9\u6cd5\uff0c\u80fd\u591f\u6839\u636e\u76ee\u6807\u4eba\u7684\u89c6\u89c9\u6ce8\u610f\u529b\u6c34\u5e73\uff08Level of visual focus of attention\uff0cLVFOA\uff09\u5438\u5f15\u76ee\u6807\u4eba\u7684\u6ce8\u610f\u529b\uff0c\u5e76\u5efa\u7acb\u4e0e\u76ee\u6807\u4eba\u7684\u4ea4\u6d41\u901a\u9053\u3002<\/p>\n

\u4f5c\u8005\u8ba4\u4e3a VFOA \u662f\u673a\u5668\u4eba\u80fd\u591f\u6709\u6548\u5438\u5f15\u6ce8\u610f\u529b\uff08\u7528\u6237\u5173\u6ce8\u70b9\uff09\u548c\u542f\u52a8\u4e92\u52a8\u7684\u4e00\u4e2a\u91cd\u8981\u7ebf\u7d22\uff0c\u56e0\u4e3a\uff1a1\uff09\u5b83\u6709\u52a9\u4e8e\u7406\u89e3\u4eba\u5728\u505a\u4ec0\u4e48\uff0c2\uff09\u5b83\u8868\u660e\u5173\u6ce8\u76ee\u6807\u5ba2\u4f53\u662f\u8c01\uff08\u8c01\u5728\u770b\u8c01\uff09\u3002\u672c\u6587\u4f7f\u7528\u89c6\u89c9\u7ebf\u7d22\uff0c\u4f8b\u5982\u6ce8\u89c6\u6a21\u5f0f\uff08Eye gaze\uff09\uff0c\u4ee5\u53ca\u76ee\u6807\u4eba\u7684\u4efb\u52a1\u80cc\u666f\u6765\u8bc6\u522b VFOA \u53ca\u5176\u6c34\u5e73\u3002<\/p>\n

1. VFOA \u4ecb\u7ecd<\/p>\n

\u4eba\u4eec\u4e00\u822c\u90fd\u4f1a\u503e\u5411\u4e8e\u6ce8\u89c6\u4ed6 \/ \u5979\u611f\u5174\u8da3\u7684\u76ee\u6807\u7269\u4f53 [2]\uff0c\u4e3a\u4e86\u63cf\u8ff0\u53c2\u4e0e\u4eba\u673a\u4ea4\u4e92\u4efb\u52a1\u7684\u76ee\u6807\u4eba\u7684\u6ce8\u610f\u529b\u60c5\u51b5\uff0c\u672c\u6587\u5b9a\u4e49\u4e86\u89c6\u89c9\u6ce8\u610f\u529b\uff08Visual Focus of Attention\uff0cVFOA\uff09\u4e3a\u4e09\u7ef4\u8868\u793a\u7684\u6ce8\u89c6\u65b9\u5411\uff08gaze direction\uff09\u3002\u800c\u5177\u4f53\u4efb\u52a1 Ti \u5b9a\u4e49\u4e3a\uff1aTi\uff08T={\u9605\u8bfb\u3001\u5199\u4f5c\u3001\u6d4f\u89c8\u3001\u89c2\u770b\u7ed8\u753b\uff09}\uff0c\u5176\u4e2d\uff0ci=1…4\uff0cTi \u662f\u5c5e\u4e8e\u6709\u9650\u7ec4\u53ef\u89c6\u76ee\u6807 Li \u7684\u5143\u7d20\uff0c\u800c Li \u5c31\u662f\u7531\u4e0d\u540c\u4efb\u52a1\u7684\u4e0d\u540c\u76ee\u6807\u5bf9\u8c61\u7ec4\u6210\u3002\u4f8b\u5982\uff0cL1={book}\uff0cL2={notebook}\uff0cL3={display\uff0ckeyboard\uff0cmouse} \u548c L4={paintings}\uff0c\u5206\u522b\u7528\u4e8e\u9605\u8bfb\u3001\u5199\u4f5c\u3001\u6d4f\u89c8\u548c\u67e5\u770b\u7ed8\u753b\u4efb\u52a1\u3002\u4f5c\u8005\u5b9a\u4e49\u4e86\u5f53\u76ee\u6807\u4eba\u4ece\u6307\u5b9a\u7684\u76ee\u6807\u5bf9\u8c61\u8f6c\u79fb\u5176 VFOA \u65f6\u5982\u4f55\u5ea6\u91cf\u5176\u6ce8\u610f\u529b\u7684\u4e27\u5931\uff0c\u8fd8\u5b9a\u4e49\u4e86\u5982\u4f55\u6d4b\u91cf\u76ee\u6807\u5bf9\u8c61\u53c2\u4e0e\u4efb\u52a1\u65f6 VFOA \u7684\u6301\u7eed\u65f6\u95f4\u3002<\/p>\n

\u672c\u6587\u5bf9 18 \u540d\u53c2\u4e0e\u8005\uff0814 \u540d\u7537\u6027\uff0c\u5e73\u5747\u5e74\u9f84 28 \u5c81\uff0c\u6807\u51c6\u5dee 4.9\uff09\u5b8c\u6210\u56db\u9879\u4efb\u52a1\u7684\u8fc7\u7a0b\u8fdb\u884c\u4e86\u5f55\u5236\uff1a\u9605\u8bfb\uff084 \u540d\u53c2\u4e0e\u8005\uff09\u3001\u5199\u4f5c\uff084 \u540d\uff09\u3001\u6d4f\u89c8\uff086 \u540d\uff09\u548c\u89c2\u770b\u7ed8\u753b\uff08\u5c06\u6ce8\u610f\u529b\u96c6\u4e2d\u5728\u5ba4\u5185\u7684\u4e00\u5e45\u753b\u4e0a\uff0c4 \u540d\uff09\u3002\u7ed9\u53c2\u4e0e\u8005\u53d1\u51fa\u7684\u6307\u4ee4\u662f\u8981\u6c42\u4ed6\u4eec\u96c6\u4e2d\u7cbe\u529b\u5b8c\u6210\u4efb\u52a1\u3002\u6bcf\u4e2a\u4eba\u9605\u8bfb\u3001\u5199\u4f5c\u3001\u6d4f\u89c8\u548c\u89c2\u770b\u7ed8\u753b\u7684\u5e73\u5747\u4efb\u52a1\u5b8c\u6210\u65f6\u95f4\u5206\u522b\u4e3a 9 \u5206\u949f\u30019 \u5206\u949f\u30018 \u5206\u949f\u548c 8 \u5206\u949f\u3002<\/p>\n

\u4e3a\u4e86\u6d4b\u91cf VFOA \u7684\u6301\u7eed\u65f6\u95f4\uff0c\u4f5c\u8005\u89c2\u770b\u5f55\u5236\u7684\u89c6\u9891\u6570\u636e\uff0c\u5e76\u624b\u52a8\u6807\u6ce8\uff08\u4f7f\u7528\u6682\u505c\u548c\u91cd\u65b0\u5f00\u59cb\uff09\u53c2\u4e0e\u8005\u5728\u6ca1\u6709\u5931\u53bb\u6ce8\u610f\u529b\u7684\u60c5\u51b5\u4e0b\u5bf9\u4efb\u52a1\u4ea7\u751f\u4e00\u81f4\u7ed3\u679c\u7684\u65f6\u95f4\u6bb5\u3002\u5f53\u53d7\u8bd5\u8005\u5c06\u5f53\u524d\u7684 VFOA \u8f6c\u5411\u53e6\u4e00\u4e2a\u65b9\u5411\u65f6\uff0c\u5c31\u4f1a\u51fa\u73b0\u6ce8\u610f\u529b\u4e27\u5931\u7684\u60c5\u51b5\u3002\u5bf9\u4e8e\u9605\u8bfb\u548c\u5199\u4f5c\uff0c\u53c2\u4e0e\u8005\u5206\u522b\u5728\u300c\u7ffb\u9875\u300d\u548c\u300c\u505c\u6b62\u5199\u4f5c\u300d\u65f6\u5931\u53bb\u6ce8\u610f\u529b\u3002\u5bf9\u4e8e\u9605\u8bfb\u3001\u5199\u4f5c\u3001\u6d4f\u89c8\u548c\u89c2\u770b\u7ed8\u753b\u7684\u4efb\u52a1\uff0c\u5206\u522b\u68c0\u6d4b\u5230 14 \u6b21\u300110 \u6b21\u30019 \u6b21\u548c 12 \u6b21\u6ce8\u610f\u529b\u7684\u4e27\u5931\u60c5\u51b5\u3002\u6839\u636e\u8fd9\u4e9b\u60c5\u51b5\u7684\u6301\u7eed\u65f6\u95f4\uff0c\u4f30\u8ba1\u5f97\u5230\u4e86\u6bcf\u4e2a\u4efb\u52a1\u7684 VFOA \u65f6\u95f4\u8de8\u5ea6\uff08\u89c1\u8868 1\uff09\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe1\"<\/p>\n <\/div>\u8868 1. VFOA \u6301\u7eed\u65f6\u95f4\uff08\u5206\u949f\uff09

2. \u672c\u6587\u65b9\u6cd5\u4ecb\u7ecd<\/p>\n

\u672c\u6587\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u5982\u56fe 1 \u6240\u793a\u3002\u5728\u542f\u52a8\u4ea4\u4e92\u6a21\u5757\uff08\u89c1\u56fe 1\uff08a\uff09\u7684\u5de6\u4fa7\u90e8\u5206\uff09\uff0c\u673a\u5668\u4eba\u8bc6\u522b\u5e76\u8ddf\u8e2a\u76ee\u6807\u4eba\u7684 VFOA\u3002\u5982\u679c\u5b83\u4eec\u6700\u521d\u662f\u9762\u5bf9\u9762\u7684\uff0c\u673a\u5668\u4eba\u4f1a\u4ea7\u751f\u4e00\u4e2a\u611f\u77e5\u4fe1\u53f7\uff0c\u5e76\u4e0e\u76ee\u6807\u4eba\u8fdb\u884c\u773c\u795e\u63a5\u89e6\u3002\u5426\u5219\uff0c\u673a\u5668\u4eba\u4f1a\u8bd5\u56fe\u901a\u8fc7\u8bc6\u522b\u76ee\u6807\u4eba\u5f53\u524d\u7684\u4efb\u52a1\u6765\u5438\u5f15\u76ee\u6807\u4eba\u7684\u6ce8\u610f\u529b\u3002\u673a\u5668\u4eba\u68c0\u6d4b\u5f53\u524d VFOA \u7684\u6c34\u5e73\uff0c\u76f4\u5230\u65f6\u957f\u8fbe\u5230 T_s\uff08T_s \u4e3a\u9884\u5148\u8bbe\u7f6e\u7684\u7528\u4e8e\u8868\u793a VFOA \u6301\u7eed\u7684\u6700\u5927\u65f6\u95f4\u8de8\u5ea6\u7684\u53c2\u6570\uff09\u3002\u56fe 1\uff08b\uff09\u7ed9\u51fa\u4e86\u8fd9\u4e00\u65b9\u6cd5\u7684\u5177\u4f53\u6267\u884c\u6b65\u9aa4\u3002\u673a\u5668\u4eba\u5728\u65f6\u95f4 t \u4f7f\u7528\u4f4e\u7ea7\u6216\u9ad8\u7ea7\u7684 VFOA\uff08\u53d6\u51b3\u4e8e\u76ee\u6807\u4eba\u7684\u5f53\u524d\u4efb\u52a1\uff09\uff0c\u6839\u636e\u76ee\u6807\u4eba\u7684\u79fb\u4f4d VFOA \u7684\u89c2\u5bdf\u60c5\u51b5\u6765\u751f\u6210\u5438\u5f15\u6ce8\u610f\u529b\uff08Attention attraction\uff0cAA\uff09\u4fe1\u53f7\uff08\u5f31\u6216\u5f3a\uff09\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe2\"<\/p>\n <\/div>\u56fe 1.\uff08a\uff09 \u672c\u6587\u63d0\u51fa\u7684\u65b9\u6cd5\u7684\u62bd\u8c61\u89c6\u56fe;\uff08b\uff09 \u672c\u6587\u65b9\u6cd5\u7684\u57fa\u672c\u6b65\u9aa4\u3002

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe3\"<\/p>\n <\/div>\u56fe 2. \u5934\u90e8\u65b9\u4f4d\u5206\u4e3a\u4e94\u4e2a\u89d2\u533a\u57df\uff0c\u5176\u4e2d\u4f7f\u7528\u7684\u4eba\u8138\u56fe\u50cf\u6765\u81ea\u8fdc GTAV \u4eba\u8138\u6570\u636e\u5e93 [3]\u3002

\u7531\u56fe 2\uff0c\u672c\u6587\u4f5c\u8005\u5c06\u4e00\u4e2a\u4eba\u7684\u89c6\u91ce\uff08Field of View\uff0cFOV\uff09\u5206\u4e3a\u4e2d\u5fc3\u89c6\u91ce\u548c\u5468\u8fb9\u89c6\u91ce\uff0c\u5177\u4f53\u5305\u62ec\u4e0b\u9762\u4e09\u4e2a\u5206\u533a\uff1a<\/p>\n

\u4e2d\u5fc3\u89c6\u91ce\uff08Central Field of View\uff0cCFV\uff09\uff1a\u8fd9\u4e2a\u89c6\u91ce\u4f4d\u4e8e\u4eba\u7c7b\u89c6\u91ce\u7684\u4e2d\u5fc3\u3002\u8be5\u533a\u57df\u8bbe\u7f6e\u4e3a 30\u00b0 \u7684\u9525\u5f62\u533a\u57df\uff08\u56fe 2 \u4e2d\u4e3a 75\u00b0 \u81f3 105\u00b0\uff09\uff1b<\/p>\n

\u8fd1\u5468\u8fb9\u89c6\u91ce\uff08Near Peripheral Field of View\uff0cNPFV\uff09\uff1a\u5b9a\u4e49\u4e3a CFV \u533a\u4e24\u4fa7 45\u00b0 \u6247\u5f62\u533a\u57df\u3002\u5728 CFV \u7684\u53f3\u4fa7\uff08\u56fe 2 \u4e2d\u4e3a 30\u00b0 \u5230 75\u00b0 \u4e4b\u95f4\uff09\uff0c\u8be5\u533a\u57df\u88ab\u5b9a\u4e49\u4e3a\u53f3\u4fa7\u8fd1\u5468\u8fb9\u89c6\u91ce\uff08RNPFV\uff09\uff0c\u800c\u5728\u5de6\u4fa7\uff08\u56fe 2 \u4e2d\u4e3a 105\u00b0 \u5230 150\u00b0 \u4e4b\u95f4\uff09\uff0c\u8be5\u533a\u57df\u88ab\u79f0\u4e3a\u5de6\u4fa7\u8fd1\u5468\u8fb9\u89c6\u91ce\uff08LNPFV\uff09\uff1b<\/p>\n

\u8fdc\u5468\u8fb9\u89c6\u91ce\uff08Far Peripheral Field of View\uff0cFPFV\uff09\uff1a\u8fd9\u4e2a\u89c6\u91ce\u5b58\u5728\u4e8e\u4eba\u89c6\u91ce\u8fb9\u7f18\u7684\u4e24\u4fa7\uff0c\u5177\u4f53\u5305\u62ec\u53f3\u4fa7\u8fdc\u5468\u8fb9\u89c6\u91ce\uff08RFPFV\uff09\u548c\u5de6\u4fa7\u8fdc\u5468\u8fb9\u89c6\u91ce\uff08LFPFV\uff09\u3002<\/p>\n

\u5982\u679c\u5728 CFV\/LNPFV\/RNPFV \u4e2d\u68c0\u6d4b\u5230 VFOA\uff0c\u5219\u673a\u5668\u4eba\u4f1a\u4ea7\u751f\u5934\u90e8\u8f6c\u52a8\u52a8\u4f5c\uff08\u5fae\u5f31\u4fe1\u53f7\uff09\u3002\u5982\u679c\u68c0\u6d4b\u5230\u7684 VFOA \u5728 LFPFV \u6216 RFPFV \u4e2d\uff0c\u5219\u673a\u5668\u4eba\u4ea7\u751f\u6447\u5934\u52a8\u4f5c\uff08\u5f3a\u4fe1\u53f7\uff09\u3002\u5f53\u673a\u5668\u4eba\u6210\u529f\u5438\u5f15\u76ee\u6807\u4eba\u7684\u6ce8\u610f\u65f6\uff0c\u901a\u4fe1\u4fe1\u9053\u5efa\u7acb\u6a21\u5757\uff08\u56fe 1\uff08a\uff09\u7684\u53f3\u4fa7\u90e8\u5206\uff09\u5c1d\u8bd5\u4e0e\u76ee\u6807\u4eba\u5efa\u7acb\u901a\u4fe1\u4fe1\u9053\u3002\u673a\u5668\u4eba\u51b3\u5b9a\u4e86\u6ce8\u610f\u529b\u8f6c\u79fb\u7684\u7a0b\u5ea6\uff0c\u5e76\u5411\u76ee\u6807\u4eba\u53d1\u51fa\u4e00\u4e2a\u611f\u77e5\u4fe1\u53f7\uff0c\u8868\u660e\u5b83\u60f3\u548c\u5979 \/ \u4ed6\u4ea4\u6d41\u3002\u673a\u5668\u4eba\u901a\u8fc7\u7728\u773c\u5b8c\u6210\u773c\u795e\u4ea4\u6d41\u3002<\/p>\n

2.1 \u89c6\u89c9\u6ce8\u610f\u7126\u70b9\u7684\u8bc6\u522b\u53ca\u5176\u6c34\u5e73<\/p>\n

\u672c\u6587\u91cd\u70b9\u5173\u6ce8\u7684\u662f\uff1a\u6301\u7eed\u7684\u6ce8\u610f\u529b\uff08Sustained Attention\uff09\u548c\u96c6\u4e2d\u6216\u8f6c\u79fb\u7684\u6ce8\u610f\u529b\uff08Focused or Shifted Attention\uff09\u3002\u96c6\u4e2d\u6ce8\u610f\u529b\u6216\u8f6c\u79fb\u6ce8\u610f\u529b\u662f\u7531\u523a\u6fc0\u6216\u610f\u5916\u4e8b\u4ef6\u6240\u5bfc\u81f4\u7684\u77ac\u65f6\u53cd\u5e94\uff0c\u800c\u6301\u7eed\u7684\u6ce8\u610f\u529b\u5219\u662f\u7531\u4efb\u52a1\u51b3\u5b9a\u7684\u3002\u672c\u6587\u6839\u636e\u89c6\u89c9\u4fe1\u53f7\uff08Visual Cues\uff09\u548c\u6ce8\u89c6\u6a21\u5f0f\u6765\u8861\u91cf VFOA \u53ca\u5176\u6c34\u5e73\u3002<\/p>\n

1\uff09\u83b7\u53d6\u89c6\u89c9\u4fe1\u53f7\u3002\u4e00\u662f\uff0c\u4f7f\u7528\u89c6\u89c9\u673a\u5668\u7684 faceAPI \u6765\u68c0\u6d4b\u548c\u8ddf\u8e2a\u76ee\u6807\u4eba\u7684\u5934\u90e8\u59ff\u52bf h_p\u3002\u4e8c\u662f\uff0c\u4f7f\u7528\u5149\u6d41\u7279\u5f81\u68c0\u6d4b\u5934\u90e8\u8fd0\u52a8 h_m [4]\u3002\u4e09\u662f\uff0c\u91cd\u53e0\u9762\u7a97\u53e3\uff1a\u5982\u679c\u68c0\u6d4b\u5230\u4e00\u4e2a\u9762\u90e8\u5e76\u4e14\u4e0e\u6700\u8fd1\u7684\u5934\u90e8\u8fd0\u52a8\u7a97\u53e3\u91cd\u53e0\uff0ch_m \u5927\u4e8e 50%\uff0c\u5219\u8ba4\u4e3a\u68c0\u6d4b\u5230\u91cd\u53e0\u7684\u9762\u90e8\u7a97\u53e3 o_f\uff08o_f=1\uff09\u3002\u68c0\u6d4b\u5230\u91cd\u53e0\u9762\u7a97\u53e3\u5c31\u610f\u5473\u7740\u76ee\u6807\u4eba\u628a\u8138\u8f6c\u5411\u4e86\u673a\u5668\u4eba\u3002\u672c\u6587\u4f7f\u7528 Viola-Jones AdaBoost-Haar-like \u4eba\u8138\u68c0\u6d4b\u5668\u68c0\u6d4b\u4eba\u8138 [5]\u3002<\/p>\n

2\uff09\u6ce8\u89c6\u6a21\u5f0f\u5206\u7c7b\u3002\u4e00\u4e2a\u4eba\u7684\u6ce8\u89c6\u6a21\u5f0f\u8868\u660e\u4e86\u4ed6 \/ \u5979\u611f\u5174\u8da3\u7684\u5bf9\u8c61\u3002\u4e00\u822c\u6765\u8bf4\uff0c\u4eba\u7c7b\u7684\u6ce8\u89c6\u6a21\u5f0f\u5206\u4e3a\u4e09\u79cd\u3002\u5f53\u4e00\u4e2a\u4eba\u5728\u6ca1\u6709\u4efb\u4f55\u7279\u5b9a\u4efb\u52a1\u7684\u60c5\u51b5\u4e0b\u89c2\u770b\u573a\u666f\u65f6\uff0c\u4e5f\u5c31\u662f\u8bf4\uff0c\u5f53\u5979 \/ \u4ed6\u300c\u53ea\u662f\u770b\u5230\u300d\u573a\u666f\u65f6\uff0c\u5c31\u53d1\u751f\u4e86\u81ea\u53d1\u7684\u89c2\u770b\uff08Spontaneous Viewing\uff09\u3002\u5f53\u4e00\u4e2a\u4eba\u5e26\u7740\u7279\u5b9a\u7684\u95ee\u9898\u6216\u4efb\u52a1\uff08\u4f8b\u5982\uff0c\u5979 \/ \u4ed6\u53ef\u80fd\u5bf9\u535a\u7269\u9986\u4e2d\u7684\u67d0\u4e00\u5e45\u753b\u611f\u5174\u8da3\uff09\u89c2\u770b\u573a\u666f\u65f6\uff0c\u4f1a\u51fa\u73b0\u4efb\u52a1\u6216\u573a\u666f\u76f8\u5173\u7684\u89c2\u770b\uff08Task or Scene-Relevant Viewing\uff09\u3002\u5f53\u53d7\u8bd5\u8005\u4e0d\u592a\u6ce8\u610f\u81ea\u5df1\u5728\u770b\u4ec0\u4e48\uff0c\u800c\u662f\u5728\u5173\u6ce8\u4e00\u4e9b\u300c\u5185\u5fc3\u7684\u60f3\u6cd5\u300d\u65f6\uff0c\u5c31\u4f1a\u51fa\u73b0\u601d\u7ef4\u89c2\u5bdf\u7684\u53d6\u5411\uff08Orientation of Thought Viewing\uff09\u3002\u672c\u6587\u8ba8\u8bba\u7684\u662f\u524d\u4e24\u79cd\u6ce8\u89c6\u6a21\u5f0f\uff0c\u4f7f\u7528 SVM \u8fdb\u884c\u4e24\u7c7b\u6ce8\u89c6\u6a21\u5f0f\u7684\u5206\u7c7b\u5904\u7406\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe4\"<\/p>\n <\/div>\u56fe 3. \uff08a\uff09 \u68c0\u6d4b\u5230\u7684\u5934\u90e8\u53ca\u5176\u5728\u56fe\u50cf\u4e2d\u7684\u4f4d\u7f6e\u3002\uff08b\uff09 \u63d0\u53d6\u4eba\u8138\u7279\u5f81\u70b9\u3002\uff08c\uff09 \u57fa\u4e8e\u4eba\u8138\u7279\u5f81\u70b9\u7684\u773c\u775b\u533a\u57df\u4f30\u8ba1\u3002\uff08d\uff09 \u68c0\u6d4b\u5230\u773c\u775b\u533a\u57df\u5185\u7684\u8679\u819c\u4e2d\u5fc3\u3002

\u4e3a\u4e86\u5f97\u5230\u6ce8\u89c6\u6a21\u5f0f Gp\uff0c\u672c\u6587\u8003\u8651\u4e86\u5934\u90e8\u5728\u56fe\u50cf\u4e2d\u7684\u5e73\u79fb\u8fd0\u52a8\u548c\u8679\u819c\u5728\u773c\u775b\u4e2d\u7684\u4f4d\u7f6e\u53d8\u5316\u3002\u56fe 3 \u7ed9\u51fa\u4e86\u672c\u6587\u5b9e\u9a8c\u5b9a\u4f4d\u4eba\u5934\u90e8\u7684\u8fc7\u7a0b\u3002\u9996\u5148\u5b9a\u4f4d\u5230\u5934\u90e8\u533a\u57df\uff0c\u4e4b\u540e\u5229\u7528 ASM \u627e\u5230\u9762\u90e8\u7279\u5f81\u70b9\uff0c\u6700\u540e\u5b9a\u4f4d\u5230\u8679\u819c\u4e2d\u5fc3\u3002\u4ee4 H_0 \u8868\u793a\u521d\u59cb\u5934\u90e8\u4f4d\u7f6e\uff0cE_t \u4e3a\u7b2c t \u5e27\u7684\u773c\u775b\u6ce8\u89c6\u4f4d\u7f6e\uff08\u773c\u775b\u4e2d\u76f8\u5bf9\u8679\u819c\u4f4d\u7f6e\uff09\u3002T_Ht \u8868\u793a\u6765\u81ea H_0 \u7684\u5934\u90e8\u8fd0\u52a8\u7684\u5e73\u79fb\u77e2\u91cf\uff0c\u5219\u7b2c t \u5e27\u7684\u6ce8\u89c6\u70b9 Q_t \u786e\u5b9a\u5982\u4e0b\uff1a<\/p>\n

Gp={Q_0\uff0cQ_1, …,Q_L\u22121} \u8868\u793a L \u5e27\u7684\u6ce8\u89c6\u6a21\u5f0f\u3002\u56fe 4\uff08a\uff09\u793a\u51fa\u4e86\u89c2\u770b\u573a\u666f\u4e2d\u7684\u7279\u5b9a\u70b9\uff08\u4efb\u52a1\u6216\u4e0e\u573a\u666f\u76f8\u5173\u7684\u89c2\u770b\uff09\u7684\u4eba\u7684\u6ce8\u89c6\u6a21\u5f0f\uff0c\u5e76\u4e14\u5728\u56fe 4\uff08b\uff09\u4e2d\u793a\u51fa\u5982\u4f55\u89c2\u770b\u4e09\u4e2a\u4e0d\u540c\u70b9\uff08\u81ea\u53d1\u89c2\u770b\uff09\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe5\"<\/p>\n <\/div>\u56fe 4. \u6ce8\u89c6\u6a21\u5f0f\uff1a\uff08a\uff09\u4e0e\u4efb\u52a1\u6216\u573a\u666f\u76f8\u5173\u7684\u89c2\u5bdf\uff1b\uff08b\uff09 \u81ea\u53d1\u89c2\u770b\u3002

\u901a\u8fc7\u5bf9\u6ce8\u89c6\u6a21\u5f0f\u7684\u91cd\u5fc3\u8fdb\u884c\u5f52\u4e00\u5316\u5904\u7406\uff0c\u4ece\u6ce8\u89c6\u6a21\u5f0f\u6570\u636e\u4e2d\u63d0\u53d6\u7279\u5f81\u5411\u91cf\u3002\u5047\u8bbe C_m \u662f\u91cd\u5fc3\uff0cr_t \u662f\u4ece C_m \u5230\u6ce8\u89c6\u70b9 Q_t \u7684\u6b27\u6c0f\u8ddd\u79bb\uff1a<\/p>\n

\u5176\u4e2d\uff0ct=0\uff0c1, …,L\u22121\u3002\u63a5\u4e0b\u6765\uff0c\u5c06\u8ddd\u79bb\u503c r_t \u6309\u964d\u5e8f\u6392\u5e8f\uff0c\u5e76\u6784\u9020\u5206\u7c7b\u5668\u7684\u7279\u5f81\u5411\u91cf\u3002\u4f7f\u7528 SVM \u8fdb\u884c\u5206\u7c7b\u3002<\/p>\n

\u4e3a\u4e86\u8fdb\u884c\u8bad\u7ec3\uff0c\u4f5c\u8005\u6536\u96c6\u4e86\u6ce8\u89c6\u6570\u636e\uff0c\u5e76\u6784\u5efa\u4e0e\u573a\u666f\u76f8\u5173\u7684\u3001\u81ea\u53d1\u89c2\u770b\u7684\u6ce8\u89c6\u6a21\u5f0f\u7684\u8bad\u7ec3\u6570\u636e\u3002SVM \u6a21\u578b\u80fd\u591f\u5c06\u6ce8\u89c6\u6a21\u5f0f\u5206\u7c7b\u4e3a\u81ea\u53d1\u89c2\u770b\uff08spontaneous viewing\uff09S_l \u548c\u4efb\u52a1\u6216\u573a\u666f\u76f8\u5173\u89c2\u770b\uff08task or scene-relevant viewing\uff09T_l\u3002<\/p>\n

\u6700\u540e\uff0c\u901a\u8fc7\u8bc6\u522b\u76ee\u6807\u4eba\u7269\u6240\u53c2\u4e0e\u7684\u4efb\u52a1\u6765\u786e\u5b9a\u4efb\u52a1\u4e0a\u4e0b\u6587\uff08Task Context\uff09\u3002\u7ed9\u5b9a\u4e00\u4e2a\u89c6\u9891\u5e8f\u5217\uff0c\u63d0\u53d6\u6bcf\u5e27\u7684\u65b9\u5411\u68af\u5ea6\uff08HOG\uff09\u7279\u5f81\u76f4\u65b9\u56fe [6]\u3002\u5c06 HOG \u7279\u5f81\u7ec4\u5408\u4e3a 10 \u4e2a\u8fde\u7eed\u7684\u5e27\u6765\u6784\u5efa HOG \u7279\u5f81\u6a21\u5f0f HOG_P\uff1a<\/p>\n

\u5176\u4e2d F_0 \u548c F_i \u5206\u522b\u662f\u7b2c\u4e00\u5e27\u548c\u7b2c i \u5e27\u7684 HOG \u7279\u5f81\u3002<\/p>\n

\u5728\u8bc6\u522b\u51fa\u76ee\u6807\u4eba\u7684\u4efb\u52a1\uff08\u6216\u5f53\u524d VFOA\uff09\u540e\uff0c\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528\u4efb\u52a1\u7684\u76f8\u5173\u4e0a\u4e0b\u6587\u7ebf\u7d22\u6765\u8bc6\u522b\u6ce8\u610f\u529b\u6c34\u5e73\u3002\u5bf9\u4e8e\u6bcf\u4e2a\u4efb\u52a1\uff0c\u672c\u6587\u4f7f\u7528\u4efb\u52a1\u76f8\u5173\u7684 VFOA \u8de8\u5ea6\uff08T_s\uff09\u6765\u786e\u5b9a\u673a\u5668\u4eba\u5e94\u8be5\u7b49\u5f85\u591a\u957f\u65f6\u95f4\u6216\u8005\u673a\u5668\u4eba\u5e94\u8be5\u5728\u600e\u6837\u7684\u65f6\u95f4\u5468\u671f\u5185\u4e0e\u76ee\u6807\u4eba\u4ea4\u4e92\u3002\u6b64\u5916\uff0c\u8fd8\u5b9a\u4e49\u4e86\u4e00\u4e9b\u7279\u5b9a\u4efb\u52a1\u7684\u7ebf\u7d22\u6765\u786e\u5b9a\u6ce8\u610f\u529b\u7684\u6c34\u5e73\u3002\u4ee5\u9605\u8bfb reading \u4e3a\u4f8b\uff0c\u4f7f\u7528\u7ffb\u9875\u7387 P_t \u548c\u503e\u659c\u89d2\u5ea6\u504f\u5dee\u6765\u6d4b\u91cf LVFOA\u3002\u800c\u8fd9\u4e9b\u7279\u5b9a\u4efb\u52a1\u7684\u7ebf\u7d22\u7684\u4f4d\u7f6e\u662f\u6839\u636e\u4eba\u7684\u8eab\u4f53\u7684\u76f8\u5bf9\u4f4d\u7f6e\u6765\u786e\u5b9a\u7684\uff0c\u672c\u6587\u5e94\u7528\u7684\u662f\u6587\u732e [7] \u4e2d\u7ed9\u51fa\u7684\u4eba\u4f53\u8ddf\u8e2a\u7cfb\u7edf\u3002<\/p>\n

2.2 \u6301\u7eed\u89c6\u89c9\u6ce8\u610f\u529b\u7684\u96c6\u4e2d\u7a0b\u5ea6<\/p>\n

\u6839\u636e\u8bed\u5883\u7ebf\u7d22\u548c\u6ce8\u89c6\u6a21\u5f0f\uff0cVFOA \u6c34\u5e73\u5206\u4e3a\u4f4e\u6c34\u5e73\u548c\u9ad8\u6c34\u5e73\u3002\u5f53\u6ce8\u610f\u529b\u6c34\u5e73\u964d\u4f4e\u65f6\uff0c\u7cfb\u7edf\u5047\u8bbe\u68c0\u6d4b\u5230 VFOA \u4e22\u5931\u3002\u5bf9\u4e8e\u4e0d\u540c\u7684\u4efb\u52a1\uff0c\u6ce8\u610f\u529b\u6c34\u5e73\u68c0\u6d4b\u5982\u4e0b\uff1a<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe6\"<\/p>\n <\/div>S_l \u8868\u793a\u81ea\u53d1\u89c2\u770b\u3002\u5982\u679c\u68c0\u6d4b\u5230\u81ea\u53d1\u89c2\u770b\uff0c\u5219\u5047\u5b9a\u6b64\u4eba\u5bf9\u67d0\u9879\u4efb\u52a1\u6ca1\u6709\u7279\u522b\u6ce8\u610f\uff0c\u5373\uff0c\u8868\u793a\u68c0\u6d4b\u5230\u4f4e\u6ce8\u610f\u6c34\u5e73\u3002\u5bf9\u4e8e\u9605\u8bfb\u548c\u5199\u4f5c\u4efb\u52a1\uff0c\u9664\u4e86\u5934\u90e8\u59ff\u52bf\u7684\u6539\u53d8\u5916\uff0c\u672c\u6587\u8fd8\u8003\u8651\u4e86\u300c\u7ffb\u9875\u300d\uff08Pt\uff09\u548c\u300c\u505c\u6b62\u5199\u4f5c\u300d\uff08Ws\uff09\u7b49\u884c\u4e3a\u6765\u68c0\u6d4b\u4f4e\u6ce8\u610f\u6c34\u5e73\u3002\u5bf9\u4e8e\u4e0a\u5f0f\u6765\u8bf4\uff0c\u5982\u679c\u7279\u5b9a\u7684\u5934\u90e8\u59ff\u52bf\u53d8\u5316\u4e14\u7a33\u5b9a\u6027\u5927\u4e8e\u6216\u7b49\u4e8e 3 \u5e27\uff0c\u5219\u76f8\u5e94\u4efb\u52a1\u7684\u6ce8\u610f\u529b\u6c34\u5e73\u8f83\u4f4e\u3002\u5426\u5219\uff0c\u8868\u793a\u6ce8\u610f\u529b\u6c34\u5e73\u8f83\u9ad8\uff0c\u5f53\u524d\u7684\u6ce8\u610f\u529b\u96c6\u4e2d\u5728\u4efb\u52a1\u4e0a\u3002

2.3 \u6ce8\u610f\u529b\u96c6\u4e2d \/ \u8f6c\u79fb\u7684\u68c0\u6d4b<\/p>\n

\u7126\u70b9 \/ \u6ce8\u610f\u529b\u8f6c\u79fb\u5206\u4e3a\u4e24\u4e2a\u9636\u6bb5\u3002\u9996\u5148\uff0c\u4e3a\u4e86\u5438\u5f15\u76ee\u6807\u4eba\u7684\u6ce8\u610f\u529b\uff0c\u673a\u5668\u4eba\u4ece\u6301\u7eed\u7684 VFOA \u4e2d\u68c0\u6d4b\u51fa\u7126\u70b9 \/ \u8f6c\u79fb\u7684\u6ce8\u610f\u529b\u3002\u7b2c\u4e8c\uff0c\u5728\u53d1\u9001 AA \u4fe1\u53f7\u540e\uff0c\u673a\u5668\u4eba\u9700\u8981\u68c0\u6d4b\u5230\u7126\u70b9 \/ \u8f6c\u79fb\u7684\u6ce8\u610f\u529b\u3002<\/p>\n

\u6ce8\u610f\u529b\u4ece\u6301\u7eed\u6027 VFOA \u8f6c\u79fb\uff1a\u4e3a\u4e86\u53d1\u8d77\u793c\u8c8c\u7684\u793e\u4ea4\u4e92\u52a8\uff0c\u673a\u5668\u4eba\u5e94\u8be5\u6839\u636e\u76ee\u6807\u4eba\u5f53\u524d\u6301\u7eed\u7684 VFOA \u53bb\u5438\u5f15\u4ed6 \/ \u5979\u7684\u6ce8\u610f\u529b\u3002\u5728\u5f15\u8d77\u6ce8\u610f\u540e\uff0c\u673a\u5668\u4eba\u68c0\u6d4b\u5230\u76ee\u6807\u4eba\u79fb\u4f4d\u7684 VFOA\u3002\u6839\u636e\u73af\u5883\u56e0\u7d20\u548c\u76ee\u6807\u4eba\u7684\u5fc3\u7406\u7126\u70b9\uff0c\u6301\u7eed\u6027 VFOA \u53ef\u5206\u4e3a\u4e94\u4e2a\u533a\u57df\u4e4b\u4e00\uff1aCFV\u3001LNPFV\u3001LFPFV\u3001RNPFV \u548c RFPFV\u3002\u5229\u7528\u5934\u90e8\u59ff\u6001\u7684\u5e73\u79fb\u89d2\u5ea6\u6765\u68c0\u6d4b\u79fb\u4f4d\u7684 VFOA \u533a\u57df\u3002<\/p>\n

\u5bf9\u673a\u5668\u4eba\u7684\u6ce8\u610f\u529b\u96c6\u4e2d \/ \u8f6c\u79fb\uff1a\u5bf9\u673a\u5668\u4eba\u7684\u6ce8\u610f\u529b\u96c6\u4e2d \/ \u8f6c\u79fb\u7684\u68c0\u6d4b\u662f\u673a\u5668\u4eba\u4e0e\u76ee\u6807\u4eba\u8fdb\u884c\u76ee\u5149\u63a5\u89e6\u7684\u91cd\u8981\u7ebf\u7d22\u3002\u5982\u679c\u673a\u5668\u4eba\u548c\u76ee\u6807\u4eba\u6ca1\u6709\u9762\u5bf9\u9762\uff0c\u90a3\u4e48\u673a\u5668\u4eba\u4f1a\u53d1\u9001\u4e00\u4e9b AA \u4fe1\u53f7\uff0c\u7b49\u5f85\u5979 \/ \u4ed6\u7684\u6ce8\u610f\u529b\u671d\u5411\u76ee\u6807\u3002\u5f53\u76ee\u6807\u4eba\u8f6c\u79fb\u6ce8\u610f\u529b\u6216\u5c06\u6ce8\u610f\u529b\u8f6c\u5411\u673a\u5668\u4eba\u65f6\uff0c\u5c31\u8981\u6c42\u673a\u5668\u4eba\u80fd\u591f\u68c0\u6d4b\u5230\u5bf9\u673a\u5668\u4eba\u7684\u6ce8\u610f\u529b\u96c6\u4e2d \/ \u8f6c\u79fb\u3002\u4e3a\u4e86\u8fdb\u884c\u6210\u529f\u7684\u773c\u795e\u4ea4\u6d41\uff0c\u673a\u5668\u4eba\u5c06\u6ce8\u610f\u529b\u96c6\u4e2d \/ \u8f6c\u79fb\u7684\u7a0b\u5ea6\u5206\u4e3a\u4e09\u7ea7\uff1a\u4f4e\u3001\u4e2d\u3001\u9ad8\u3002\u673a\u5668\u4eba\u5411\u76ee\u6807\u4eba\u53d1\u9001\u4e00\u4e2a AA \u4fe1\u53f7\uff0c\u5e76\u9010\u5e27\u5206\u6790\u8f93\u5165\u7684\u89c6\u9891\u56fe\u50cf\uff0c\u4ee5\u68c0\u6d4b\u76ee\u6807\u4eba\u662f\u5426\u6b63\u5728\u5411\u5176\u79fb\u52a8\u3002\u5982\u679c\u76ee\u6807\u4eba\u6b63\u4ece\u5979 \/ \u4ed6\u5f53\u524d\u7684\u6ce8\u610f\u529b\u7126\u70b9\u8f6c\u5411\u673a\u5668\u4eba\uff0c\u90a3\u4e48\u5728\u5934\u90e8\u5468\u56f4\u4f1a\u68c0\u6d4b\u5230\u4e00\u4e9b\u76f8\u90bb\u7684 h_m \u7a97\u53e3\u3002\u805a\u7126 \/ \u79fb\u4f4d VFOA \u7684\u7ea7\u522b\u6309\u5982\u4e0b\u5206\u6790\u8fdb\u884c\u5206\u7c7b\u3002<\/p>\n

\u5f53\u9664\u4e86\u5934\u90e8\u8fd0\u52a8\u4e4b\u5916\u6ca1\u6709\u68c0\u6d4b\u5230\u5176\u4ed6\u89c6\u89c9\u7ebf\u7d22\u65f6\uff0c\u53ef\u4ee5\u5047\u8bbe\u96c6\u4e2d \/ \u8f6c\u79fb\u7684\u6ce8\u610f\u529b\u6c34\u5e73\u8f83\u4f4e\uff1a<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe7\"<\/p>\n <\/div>\u5176\u4e2d\uff0cN_hm \u8868\u793a\u540e\u7eed\u5e27\u4e2d\u51fa\u73b0\u8fde\u7eed\u7684\u5934\u90e8\u8fd0\u52a8\u7684\u7a97\u53e3\u6570\u91cf\uff0co_f \u8868\u793a\u662f\u5426\u68c0\u6d4b\u5230\u91cd\u53e0\u7a97\u53e3\uff08\u68c0\u6d4b\u5230\u4e3a\uff081\uff09\uff0c\u672a\u68c0\u6d4b\u5230\u4e3a\uff080\uff09\uff09\uff0c\uff08h_p\uff09^ p \u662f\u5934\u90e8\u59ff\u52bf\u7684\u4f30\u8ba1\u5e73\u79fb\u89d2\u5ea6\uff0cN_fs \u662f\u68c0\u6d4b\u5230\u91cd\u53e0\u7a97\u53e3\u540e\u5728\u540e\u7eed\u5e27\u4e2d\u7684\u9762\u90e8\u7a33\u5b9a\u6027\u68c0\u6d4b\u7ed3\u679c\u3002

\u5982\u679c\u5728\u76f8\u90bb\u7684\u5934\u90e8\u8fd0\u52a8\u533a\u57df\u5185\u901a\u8fc7\u91cd\u53e0\u7684\u9762\u90e8\u7a97\u53e3\u68c0\u6d4b\u5230\u5934\u90e8\u8fd0\u52a8\uff0c\u5219\u6ce8\u610f\u529b\u6c34\u5e73\u4e3a\u4e2d\u7b49\uff1a<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe8\"<\/p>\n <\/div>\u5f53\u6210\u529f\u68c0\u7d22\u5230\u89c6\u89c9\u7ebf\u7d22\u5e76\u7a33\u5b9a\u4e0b\u6765\u65f6\uff0c\u6ce8\u610f\u529b\u6c34\u5e73\u8f83\u9ad8\uff1a

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe9\"<\/p>\n <\/div>\u5bf9\u5e94\u4e8e\u4e0a\u8ff0\u4e09\u4e2a\u516c\u5f0f\uff0c\u5f53\u80fd\u591f\u6ee1\u8db3\u516c\u5f0f\u53f3\u4fa7\u5168\u90e8\u6761\u4ef6\u65f6\uff0c\u8868\u793a\u68c0\u6d4b\u5230\u5bf9\u5e94\u7684\u6ce8\u610f\u529b\u6c34\u5e73\u3002\u68c0\u6d4b\u5230\u7684\u6ce8\u610f\u529b\u6c34\u5e73\u5c06\u7528\u4e8e\u968f\u540e\u7684\u610f\u8bc6\u751f\u6210\uff0c\u5e76\u8fdb\u884c\u6210\u529f\u7684\u773c\u795e\u4ea4\u6d41\u3002

2.4 \u57fa\u4e8e\u89c6\u89c9\u6ce8\u610f\u7126\u70b9\u7684\u521d\u59cb\u4e92\u52a8<\/p>\n

\u5728\u793c\u8c8c\u7684\u793e\u4f1a\u4ea4\u5f80\u4e2d\uff0c\u4eba\u4eec\u901a\u5e38\u4f1a\u5148\u62ac\u8d77\u5934\u6765\uff0c\u6216\u662f\u8f6c\u5934\u671d\u7740\u60f3\u4e0e\u4e4b\u4ea4\u6d41\u7684\u4eba\uff0c\u518d\u8fdb\u884c\u540e\u7eed\u7684\u4ea4\u6d41\u3002\u7136\u800c\uff0c\u5982\u679c\u76ee\u6807\u4eba\u5bf9\u67d0\u9879\u4efb\u52a1\u7684\u6ce8\u610f\u529b\u96c6\u4e2d\u5ea6\u5f88\u9ad8\uff0c\u4f5c\u4e3a\u4eba\u7c7b\u5c31\u4f1a\u5c1d\u8bd5\u4f7f\u7528\u4e00\u4e9b\u66f4\u6709\u529b\u7684\u52a8\u4f5c\uff08\u4f8b\u5982\u591a\u6b21\u8f6c\u5934\u3001\u6325\u624b\u3001\u8d70\u8fd1\u5bf9\u65b9\u5e76\u8f6c\u5934\uff0c\u4f7f\u7528\u58f0\u97f3\u7b49\uff09\u6765\u5438\u5f15\u5bf9\u65b9\u7684\u6ce8\u610f\u529b\u3002\u6211\u4eec\u5f53\u7136\u5e0c\u671b\u793e\u4ea4\u673a\u5668\u4eba\u4e5f\u80fd\u505a\u5230\u8fd9\u6837\u3002<\/p>\n

\u5728\u672c\u6587\u7684\u7814\u7a76\u4e2d\uff0c\u673a\u5668\u4eba\u4f1a\u76d1\u6d4b\u76ee\u6807\u4eba VFOA \u7684\u7a0b\u5ea6\u53ca\u79fb\u4f4d\u7684 VFOA \u533a\u57df\uff0c\u4ee5\u9009\u62e9\u9002\u5f53\u7684\u63a7\u5236\u8baf\u53f7\u3002\u5f53\u6301\u7eed\u6027 VFOA \u6ce8\u610f\u529b\u6c34\u5e73\u8f83\u4f4e\u4e14\u79fb\u4f4d\u7684 VFOA \u4f4d\u4e8e CFV\/LNPFV\/RNPFV \u533a\u57df\u65f6\uff0c\u673a\u5668\u4eba\u4f1a\u9009\u62e9\u5934\u90e8\u8f6c\u5411\u52a8\u4f5c\u53d1\u51fa\u5f31\u4fe1\u53f7\u3002\u5f53\u6301\u7eed\u6027 VFOA \u6ce8\u610f\u529b\u6c34\u5e73\u8f83\u4f4e\u4e14\u79fb\u4f4d\u7684 VFOA \u4f4d\u4e8e LFPFV\/RFPFV \u533a\u57df\u65f6\uff0c\u673a\u5668\u4eba\u4f1a\u4f7f\u7528\u6447\u5934\u52a8\u4f5c\u3002\u5728\u6301\u7eed VFOA \u6ce8\u610f\u529b\u6c34\u5e73\u8f83\u9ad8\u4e14\u9700\u8981\u5438\u5f15\u76ee\u6807\u4eba\u6ce8\u610f\u529b\u7684\u60c5\u51b5\u4e0b\uff0c\u673a\u5668\u4eba\u8fd8\u4f1a\u91c7\u7528\u6447\u5934\u52a8\u4f5c\u3002<\/p>\n

\u672c\u6587\u4f7f\u7528\u6447\u5934\u52a8\u4f5c\u4f5c\u4e3a\u4e00\u4e2a\u5f88\u5f3a\u7684 AA \u4fe1\u53f7\uff0c\u56e0\u4e3a\u7269\u4f53\u7684\u7a81\u7136\u8fd0\u52a8\u4f1a\u5f15\u8d77\u4eba\u4eec\u7684\u6ce8\u610f\u3002\u5982\u679c\u4e00\u4e2a\u4eba\u5904\u4e8e\u4e00\u4e2a\u770b\u4e0d\u5230\u673a\u5668\u4eba\u52a8\u4f5c\u7684\u4f4d\u7f6e\uff0c\u673a\u5668\u4eba\u7684\u975e\u8bed\u8a00\u884c\u4e3a\u6240\u4ea7\u751f\u7684\u89c6\u89c9\u523a\u6fc0\u4e0d\u4f1a\u5f71\u54cd\u5230\u4ed6 \/ \u5979\u3002\u56e0\u6b64\uff0c\u672c\u6587\u4e0d\u8003\u8651\u79fb\u4f4d\u7684 VFOA \u5728 FOV \u533a\u57df\u4e4b\u5916\u7684\u60c5\u51b5\u3002<\/p>\n

2.5 \u5efa\u7acb\u6c9f\u901a\u6e20\u9053<\/p>\n

\u4e3a\u4e86\u5efa\u7acb\u4e00\u4e2a\u4ea4\u6d41\u901a\u9053\uff0c\u673a\u5668\u4eba\u9700\u8981\u8ba9\u76ee\u6807\u4eba\u6ce8\u610f\u5230\u5b83\u6b63\u770b\u7740\u5979 \/ \u4ed6\u3002\u673a\u5668\u4eba\u5e94\u8be5\u80fd\u591f\u901a\u8fc7\u4e00\u4e9b\u52a8\u4f5c\uff08\u4f8b\u5982\u9762\u90e8\u8868\u60c5\u3001\u7728\u773c\u6216\u70b9\u5934\uff09\u6765\u8868\u8fbe\u5b83\u7684\u8fd9\u4e2a\u610f\u8bc6\u3002\u672c\u6587\u901a\u8fc7\u7728\u773c\u6765\u4ea7\u751f\u8fd9\u79cd\u610f\u8bc6\uff0c\u56e0\u4e3a\u7728\u773c\u662f\u5f62\u6210\u4e00\u4e2a\u4eba\u5370\u8c61\u7684\u6700\u91cd\u8981\u7684\u7ebf\u7d22\u4e4b\u4e00\u3002\u673a\u5668\u4eba\u901a\u8fc7\u5b8c\u6210\u7728\u773c\u7684\u52a8\u4f5c\uff0c\u80fd\u591f\u4f7f\u76ee\u6807\u4eba\u611f\u53d7\u5230\u4ed6 \/ \u5979\u6b63\u5728\u88ab\u673a\u5668\u4eba\u6ce8\u89c6\u3002<\/p>\n

\u5982\u679c\u673a\u5668\u4eba\u6210\u529f\u5730\u5438\u5f15\u4e86\u76ee\u6807\u4eba\u7684\u6ce8\u610f\uff0c\u6216\u8005\u5979 \/ \u4ed6\u6ce8\u610f\u5230\u4e86\u673a\u5668\u4eba\u7684\u52a8\u4f5c\uff0c\u5979 \/ \u4ed6\u5c31\u4f1a\u5c06\u76ee\u5149\u8f6c\u5411\u673a\u5668\u4eba\u3002\u5f53\u5979 \/ \u4ed6\u770b\u7740\u673a\u5668\u4eba\u7684\u8138\u65f6\uff0c\u673a\u5668\u4eba\u80fd\u8ba4\u51fa\u5979 \/ \u4ed6\u7684\u8138\u3002\u5728\u68c0\u6d4b\u5230\u76ee\u6807\u4eba\u7684\u9762\u90e8\u7a33\u5b9a\u6027\u540e\uff08\u5373 FAH=1\uff09\uff0c\u673a\u5668\u4eba\u5f00\u59cb\u7728\u773c\u775b\u5927\u7ea6\u4e09\u6b21\uff081 blink\/s\uff09\uff0c\u4ee5\u5efa\u7acb\u4e00\u4e2a\u901a\u4fe1\u901a\u9053\u3002\u7728\u773c\u52a8\u4f5c\u662f\u901a\u8fc7\u5feb\u901f\u5173\u95ed\u548c\u6253\u5f00 CG \u56fe\u50cf\u7684\u773c\u7751\u4ea7\u751f\u7684\uff0c\u5e76\u901a\u8fc7 LED \u6295\u5f71\u4eea\u663e\u793a\u5728\u673a\u5668\u4eba\u7684\u773c\u775b\u4e0a\u3002<\/p>\n

3. \u5b9e\u9a8c\u5206\u6790<\/p>\n

\u672c\u6587\u5728\u4e24\u4e2a\u4e0d\u540c\u7684\u673a\u5668\u4eba\u573a\u666f\u4e2d\u9a8c\u8bc1\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u3002<\/p>\n

3.1 \u9759\u6001\u673a\u5668\u4eba\u5934\u90e8\u4ea4\u4e92<\/p>\n

\u672c\u6587\u5728\u4e00\u4e2a\u9759\u6001\u673a\u5668\u4eba\u7684\u5934\u90e8\u4f4d\u7f6e\u5b9e\u73b0\u4e86\u57fa\u4e8e\u76ee\u6807\u4eba VFOA \u6c34\u5e73\u7684\u4eba\u673a\u4ea4\u4e92\u573a\u666f\u3002\u5b9e\u9a8c\u7684\u76ee\u7684\u662f\u9a8c\u8bc1\u672c\u6587\u63d0\u51fa\u7684\u4ea4\u4e92\u7cfb\u7edf\u4f1a\u9020\u6210\u8f83\u5c11\u7684\u5e72\u6270\uff0c\u5e76\u4e14\u5728\u5979 \/ \u4ed6\u53c2\u4e0e\u67d0\u9879\u4efb\u52a1\u65f6\u80fd\u591f\u66f4\u6210\u529f\u5730\u542f\u52a8\u4e0e\u76ee\u6807\u4eba\u7684\u4ea4\u4e92\u3002\u5177\u4f53\u5b9e\u9a8c\u5e73\u53f0\u89c1\u56fe 5 \u6240\u793a\u3002\u8be5\u7cfb\u7edf\u5305\u62ec\u5934\u90e8\u68c0\u6d4b\u4e0e\u8ddf\u8e2a\u3001\u6001\u52bf\u8bc6\u522b\u3001\u8eab\u4f53\u8ddf\u8e2a\u3001\u4eba\u8138\u68c0\u6d4b\u3001\u7728\u773c\u3001\u6447\u6444\u88c5\u7f6e\u63a7\u5236\u5355\u5143\u3001VFOA \u68c0\u6d4b\u548c\u8f6c\u79fb \/ \u96c6\u4e2d\u6ce8\u610f\u529b\u68c0\u6d4b\u6a21\u5757\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe10\"<\/p>\n <\/div>\u56fe 5. \u9759\u6001\u673a\u5668\u4eba\u5b9e\u9a8c\u5e73\u53f0

\u53c2\u4e0e\u8005\u88ab\u8981\u6c42\u6ce8\u610f\u81ea\u5df1\u7684\u4efb\u52a1\uff0c\u5e76\u6234\u4e0a\u5e26\u6709\u97f3\u4e50\u7684\u8033\u673a\uff0c\u4ee5\u907f\u514d\u88ab\u673a\u5668\u4eba\u505a\u51fa\u52a8\u4f5c\u65f6\u6240\u4ea7\u751f\u7684\u58f0\u97f3\u5e72\u6270\u3002\u672c\u6587\u7528\u4e24\u4e2a\u6444\u50cf\u673a\u6355\u6349\u6240\u6709\u7684\u4e92\u52a8\u3002\u56fe 6\uff08a\uff09\u4e3a\u5b9e\u9a8c\u73af\u5883\u3002\u56fe 6\uff08b\uff09\u7ed9\u51fa\u4e86\u672c\u6587\u7cfb\u7edf\u5e94\u7528\u4e8e\u4e24\u79cd\u673a\u5668\u4eba\u884c\u4e3a\u7684\u6210\u529f\u7387\u3002\u53cc\u5c3e Z \u6bd4\u4f8b\u68c0\u9a8c\uff08Z=3.837\uff0cp<0.001\uff09\u8868\u660e\uff0c\u672c\u6587\u6240\u63d0\u51fa\u7684\u673a\u5668\u4eba IACR\uff0887.5%\uff0c24 \u6b21\u8bd5\u9a8c\u4e2d\u5438\u5f15\u76ee\u6807\u53c2\u4e0e\u8005\u6ce8\u610f\u529b 21 \u6b21\uff09\u660e\u663e\u4f18\u4e8e\u5bf9\u6bd4\u57fa\u7ebf\u7cfb\u7edf SACR\uff0833.3%\uff0c\u5728 24 \u4e2a\u5b9e\u9a8c\u4e2d\uff0c8 \u6b21\u5f15\u8d77\u76ee\u6807\u53c2\u4e0e\u8005\u7684\u6ce8\u610f\uff09\u3002\u5728\u773c\u795e\u63a5\u89e6\u9636\u6bb5\uff0c\u4e24\u7ec4\u95f4\u65e0\u663e\u8457\u6027\u5dee\u5f02\u3002\u8fd9\u53ef\u80fd\u662f\u7531\u4e8e\u773c\u795e\u63a5\u89e6\u6210\u529f\u4e0e\u5426\u53d6\u51b3\u4e8e AA \u9636\u6bb5\u7684\u6210\u529f\u7387\u3002<\/p>\n

3.2 \u535a\u7269\u9986\u573a\u666f\u4e2d\u7684 Robovie-R3<\/p>\n

\u6587\u7ae0\u6700\u540e\u7ed9\u51fa\u4e86\u53e6\u5916\u4e00\u4e2a\u5b9e\u9a8c\uff0c\u6784\u5efa\u4e86\u4e00\u4e2a\u4f4d\u4e8e\u535a\u7269\u9986\u5185\u7684\u53c2\u89c2\u8005\u548c\u673a\u5668\u4eba\u4e4b\u95f4\u7684\u4ea4\u4e92\u573a\u666f\u3002\u5047\u8bbe\u4e00\u4e2a\u53c2\u89c2\u8005\u5728\u535a\u7269\u9986\u91cc\u89c2\u5bdf\u753b\u4f5c\uff0c\u53c2\u89c2\u8005\u4f1a\u628a\u6ce8\u610f\u529b\u96c6\u4e2d\u5728\u67d0\u4e00\u5e45\u753b\u4e0a\u3002\u673a\u5668\u4eba\u4f4d\u4e8e\u8fdc\u79bb\u753b\u4f5c\u7684\u5730\u65b9\uff0c\u56e0\u6b64\uff0c\u5b83\u4e0d\u4f1a\u5e72\u6270\u53c2\u89c2\u8005\u7684\u79fb\u52a8\u548c\u6ce8\u610f\u529b\u3002\u5f53\u673a\u5668\u4eba\u68c0\u6d4b\u5230\u53c2\u89c2\u8005\u7684\u9ad8\u6c34\u5e73\u6ce8\u610f\u529b\u65f6\uff0c\u5b83\u4f1a\u5bf9\u53c2\u89c2\u8005\u7684\u5934\u90e8\u65b9\u5411\u8fdb\u884c\u5206\u7c7b\uff0c\u4ee5\u9009\u62e9\u673a\u5668\u4eba\u5e94\u8be5\u4ece\u54ea\u4e00\u4fa7\u6216\u54ea\u4e2a\u4f4d\u7f6e\u5f00\u59cb\u4ea4\u4e92\u3002\u673a\u5668\u4eba\u5c06\u53c2\u89c2\u8005\u7684\u5934\u90e8\u5b9a\u4f4d\u5206\u4e3a\u4e94\u4e2a\u89d2\u5ea6\u533a\u57df\uff1aLFPFV\u3001LNPFV\u3001CFV\u3001RNPFV \u548c RFPFV\u3002\u7136\u540e\uff0c\u673a\u5668\u4eba\u9009\u62e9\u5408\u9002\u7684\u8fd0\u52a8\u8def\u5f84\u548c\u4f4d\u7f6e\u6765\u542f\u52a8\u4ea4\u4e92\uff08\u89c1\u56fe 7\uff09\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe11\"<\/p>\n <\/div>\u56fe 7. \u673a\u5668\u4eba\u7684\u4ea4\u4e92\u4f4d\u7f6e\uff1a\uff08a\uff09\u5f53\u5728 LNPFV \u533a\u57df\u68c0\u6d4b\u5230\u8bbf\u5ba2\u7684\u6ce8\u610f\u65b9\u5411\u65f6\uff0c\u673a\u5668\u4eba\u9009\u62e9\u5de6\u4fa7\u7684\u4ea4\u4e92\u8def\u5f84\uff1b\uff08b\uff09 \u5f53\u5728 RNPFV \u533a\u57df\u68c0\u6d4b\u5230\u8bbf\u5ba2\u7684\u6ce8\u610f\u65b9\u5411\u65f6\uff0c\u673a\u5668\u4eba\u9009\u62e9\u53f3\u4fa7\u7684\u4ea4\u4e92\u8def\u5f84\u3002

\u5c06\u516d\u5e45\u753b\uff08P1\u2013P6\uff09\u6302\u5728\u540c\u4e00\u9ad8\u5ea6\u7684\u5899\u4e0a\uff08\u89c1\u56fe 8\uff08a\uff09\uff09\u3002\u8fd9\u4e9b\u753b\u88ab\u653e\u7f6e\u5728\u4e0d\u540c\u7684\u5730\u65b9\uff0c\u8ba9\u53c2\u4e0e\u8005\u4ece\u4e00\u4e2a\u56fa\u5b9a\u7684\u7ad9\u7acb\u4f4d\u7f6e\u5c06 VFOA \u56fa\u5b9a\u5728\u4e00\u5e45\u7279\u5b9a\u7684\u753b\u4e0a\u3002\u4e00\u4e2a USB \u6444\u50cf\u5934\uff08\u4f4d\u4e8e\u753b\u4f5c\uff08P3\uff09\u7684\u9876\u90e8\uff0c\u7528\u4e8e\u68c0\u6d4b\u8bbf\u5ba2\u7684\u51dd\u89c6\u548c\u5934\u90e8\u65b9\u5411\u3002P2\u3001P3 \u548c P4 \u5206\u522b\u653e\u7f6e\u5728 LNPFF\u3001CFV \u548c RNPFV \u533a\u57df\u3002\u5c06 Robovie-R3 \u773c\u775b\uff08\u89c1\u56fe 8\uff08b\uff09\uff09\u66ff\u6362\u4e3a\u8ba1\u7b97\u673a\u56fe\u5f62\u751f\u6210\u7684\u7528\u4e8e\u6ce8\u89c6\u901a\u4fe1\u7684\u6295\u5f71\u773c\u775b\uff08\u89c1\u56fe 8\uff08c\uff09\uff09\u3002\u4e3a\u4e86\u786e\u8ba4\u53c2\u89c2\u8005\u80fd\u591f\u4e0e\u673a\u5668\u4eba\u8fdb\u884c\u773c\u795e\u63a5\u89e6\uff0c\u5728\u673a\u5668\u4eba\u5934\u90e8\u4e0b\u65b9\u653e\u7f6e\u4e86\u4e00\u4e2a USB \u6444\u50cf\u5934\uff08\u89c1\u56fe 8\uff08d\uff09\uff09\u3002\u5728\u4ea4\u4e92\u573a\u666f\u4e2d\uff0c\u6bcf\u4e2a\u53c2\u4e0e\u8005\u88ab\u8981\u6c42\u7ad9\u5728\u4e00\u4e2a\u56fa\u5b9a\u7684\u4f4d\u7f6e\uff0c\u5979 \/ \u4ed6\u7684\u76ee\u5149\u548c\u5934\u90e8\u65b9\u5411\u53ef\u4ee5\u5728\u753b\u4f5c\u4e2d\u81ea\u7531\u7684\u79fb\u52a8\uff0c\u6700\u540e\uff0c\u4ed6 \/ \u5979\u4f1a\u5c06\u6ce8\u610f\u529b\u56fa\u5b9a\u5728\u56fe\u7247 P2\u3001P3 \u6216 P4 \u4e0a\uff08\u89c1\u56fe 9\uff09\u3002<\/p>\n

\n

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\u5bf9\u4e8e\u95ee\u5377 Q1\uff08\u89c1\u8868 1\uff09\uff0c\u5f53\u8bbf\u95ee\u8005\u89c2\u770b\u56fe\u7247 P2 \u65f6\uff0c\u4e24\u79cd\u65b9\u6cd5\uff08M1 \u548c M2\uff09\u4e4b\u95f4\u7684\u5dee\u5f02\u5177\u6709\u7edf\u8ba1\u5b66\u610f\u4e49\uff08Z=\u22122.831\uff0cp<0.01\uff09\u3002\u5bf9\u4e8e\u56fe\u7247 P4\uff0c\u4e24\u79cd\u65b9\u6cd5\u4e4b\u95f4\u7684\u5dee\u5f02\u4e5f\u5177\u6709\u7edf\u8ba1\u5b66\u610f\u4e49\uff08Z=\u22122.609\uff0cP<0.01\uff09\u3002\u5bf9\u4e8e\u56fe\u7247 P3\uff0c\u4e24\u79cd\u65b9\u6cd5\uff08M1 \u548c M2\uff09\u4e4b\u95f4\u6ca1\u6709\u663e\u8457\u6027\u5dee\u5f02\u3002\u56e0\u6b64\uff0c\u4e3a\u4e86\u5728\u4ea4\u4e92\u542f\u52a8\u8fc7\u7a0b\u4e2d\u6210\u529f\u7684\u8fdb\u884c\u76ee\u5149\u63a5\u89e6\uff0c\u5f53\u53c2\u89c2\u8005\u5206\u522b\u89c2\u770b\u56fe\u7247 P2 \u548c P4 \u65f6\uff0c\u673a\u5668\u4eba\u5e94\u9009\u62e9\u5de6\u4fa7\u548c\u53f3\u4fa7\u7684\u8fd0\u52a8\u8def\u5f84\u3002\u5f53\u53c2\u89c2\u8005\u770b\u5230\u56fe\u7247 P3 \u65f6\uff0c\u673a\u5668\u4eba\u53ef\u4ee5\u9009\u62e9\u5de6\u4fa7\u6216\u53f3\u4fa7\u7684\u8fd0\u52a8\u8def\u5f84\u8fdb\u884c\u773c\u795e\u63a5\u89e6\u3002<\/p>\n

\n

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\n

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4. \u6587\u7ae0\u5c0f\u7ed3<\/p>\n

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\u5176\u6b21\uff0c\u672c\u6587\u4f7f\u7528\u4e86\u4e00\u4e2a\u6052\u5b9a\u503c\uff08T_s\uff09\u4f5c\u4e3a\u6301\u7eed VFOA \u7684\u6700\u5927\u65f6\u95f4\u8de8\u5ea6\u3002\u8fd9\u662f\u5f53\u4eba\u4eec\u6ca1\u6709\u8868\u73b0\u51fa\u4ed6\u4eec\u7684\u4f4e\u6ce8\u610f\u529b\u6c34\u5e73\u6216\u8005\u673a\u5668\u4eba\u65e0\u6cd5\u68c0\u6d4b\u5230\u4ed6\u4eec\u7684\u4f4e\u6ce8\u610f\u529b\u6c34\u5e73\u65f6\uff0c\u673a\u5668\u4eba\u5c06\u7b49\u5f85\u7684\u6700\u5927\u65f6\u95f4\u8de8\u5ea6\u3002\u5728\u8fd9\u4e4b\u524d\uff0c\u4eba\u4eec\u5f80\u5f80\u8868\u73b0\u51fa\u8f83\u4f4e\u7684\u6ce8\u610f\u529b\u6c34\u5e73\u3002\u56e0\u6b64\uff0c\u5982\u679c\u6211\u4eec\u628a\u8fd9\u4e2a\u503c\u8bbe\u7f6e\u5f97\u8db3\u591f\u5927\uff0c\u5c31\u50cf\u6211\u4eec\u5728\u5b9e\u9a8c\u4e2d\u6240\u505a\u7684\u90a3\u6837\uff0c\u5c31\u4e0d\u4f1a\u6709\u4e25\u91cd\u7684\u95ee\u9898\u3002\u7136\u800c\uff0c\u5982\u679c\u80fd\u6839\u636e\u60c5\u51b5\u8c03\u6574\u6301\u7eed VFOA \u7684\u6700\u5927\u65f6\u95f4\u8de8\u5ea6\uff0c\u5b9e\u9645\u5e94\u7528\u6548\u679c\u4f1a\u66f4\u597d\u3002<\/p>\n

\u4e8c\u3001Predicting Engagement in Video Lectures<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe15\"<\/p>\n <\/div>\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/arxiv.org\/pdf\/2006.00592.pdf

\u672c\u6587\u8c08\u5230\u7684\u6ce8\u610f\u529b\u4e5f\u4e0e\u4e0a\u6587\u4e0d\u540c\uff0c\u672c\u6587\u5173\u6ce8\u7684\u662f\u516c\u5f00\u7684\u6559\u80b2\u8d44\u6e90\uff08Open Educational Resources \uff0cOERs)\uff09\u5728\u7ebf\u5b66\u4e60\u8fc7\u7a0b\u4e2d\u5b66\u4e60\u8005\u89c2\u770b\u8bfe\u7a0b\u7684\u6ce8\u610f\u529b\u96c6\u4e2d\u7684\u7a0b\u5ea6\u3002\u8fd9\u91cc\uff0c\u300c\u4eba\u673a\u4ea4\u4e92\u300d\u6307\u7684\u662f\u5b66\u5458\uff08\u4eba\uff09\u4e0e\u673a\u5668\u64ad\u653e\u7684\u8bfe\u7a0b\uff08\u673a\uff09\u4e4b\u95f4\u7684\u4ea4\u4e92\u60c5\u51b5\u3002\u5728\u5728\u7ebf\u5b66\u4e60\u573a\u666f\u4e2d\uff0c\u4e00\u822c\u8ba4\u4e3a\u80fd\u591f\u4f7f\u5f97\u5b66\u4e60\u8005\u9ad8\u5ea6\u96c6\u4e2d\u6ce8\u610f\u529b\u7684\u8bfe\u7a0b\uff0c\u662f\u66f4\u4e3a\u9002\u5408\u8be5\u5b66\u4e60\u8005\u7684\u8bfe\u7a0b\u3002\u7ecf\u5178\u7684 OERs \u95ee\u9898\u66f4\u5173\u6ce8\u4e2a\u4f53\u7528\u6237\uff08\u5b66\u4e60\u8005\uff09\u7684\u53c2\u4e0e\u5ea6\uff0c\u800c\u672c\u6587\u7684\u76ee\u6807\u662f\u5efa\u7acb\u6a21\u578b\u4ee5\u627e\u5230\u60c5\u666f\u65e0\u5173\u7684\uff08\u5373\u57fa\u4e8e\u4eba\u7fa4\u7684\uff09\u53c2\u4e0e\u5ea6\u7279\u5f81\uff0c\u8fd9\u662f\u4e00\u4e2a\u5f88\u5c11\u7814\u7a76\u7684\u95ee\u9898\u3002<\/p>\n

\u5728 OERs \u95ee\u9898\u4e2d\uff0c\u5b66\u4e60\u8005\u53c2\u4e0e\u5ea6\u662f\u4e00\u4e2a\u6bd4\u53d7\u6b22\u8fce\u7a0b\u5ea6 \/ \u6d4f\u89c8\u6b21\u6570\u66f4\u53ef\u9760\u7684\u8861\u91cf\u6807\u51c6\uff0c\u6bd4\u7528\u6237\u8bc4\u5206\u66f4\u4e3a\u4e30\u5bcc\uff0c\u5df2\u7ecf\u8bc1\u660e\u662f\u8861\u91cf\u5b66\u4e60\u6210\u679c\u7684\u5173\u952e\u7ec4\u6210\u90e8\u5206\uff0c\u5373\uff1a\u8f83\u597d\u7684\u53c2\u4e0e\u5ea6\u53ef\u4ee5\u589e\u52a0\u53d6\u5f97\u66f4\u597d\u5b66\u4e60\u6210\u679c\u7684\u53ef\u80fd\u6027\u3002\u672c\u6587\u4f5c\u8005\u6df1\u5165\u63a2\u8ba8\u4e86\u5efa\u7acb\u57fa\u4e8e\u4eba\u7fa4\u7684\u6559\u80b2\u53c2\u4e0e\u5ea6\u9884\u6d4b\u6a21\u578b\u3002<\/p>\n

1. \u7814\u7a76\u80cc\u666f\u60c5\u51b5<\/p>\n

\u968f\u7740\u5728\u7ebf\u5b66\u4e60\u5e73\u53f0\u7684\u666e\u53ca\uff0c\u8d8a\u6765\u8d8a\u591a\u7684\u5f00\u653e\u6559\u80b2\u8d44\u6e90\uff08OERs\uff09\u9762\u4e16\u3002\u8fd1\u5e74\u6765\u5927\u89c4\u6a21\u7684\u6559\u6750\u521b\u4f5c\u5bf9\u6559\u80b2\u8d44\u6e90\u7684\u81ea\u52a8\u7ba1\u7406\u63d0\u51fa\u4e86\u65b0\u7684\u8981\u6c42\u3002\u5728 OERs \u7684\u80cc\u666f\u4e0b\uff0c\u8fd9\u610f\u5473\u7740\u9700\u8981\u80fd\u591f\u81ea\u52a8\u5bfb\u627e\u548c\u63a8\u8350\u7b26\u5408\u5b66\u4e60\u8005\u76ee\u6807\u7684\u6750\u6599\uff0c\u4ece\u800c\u6700\u5927\u9650\u5ea6\u5730\u63d0\u9ad8\u5b66\u4e60\u6548\u679c\u3002\u4f5c\u8005\u8ba4\u4e3a\uff0c\u5b9e\u73b0\u4e0a\u8ff0\u76ee\u6807\u4e3b\u8981\u6709\u4e24\u4e2a\u9014\u5f84\uff1a\u60c5\u666f\u5316\u53c2\u4e0e\uff08Contextualised Engagement\uff09\u548c\u60c5\u666f\u65e0\u5173\u6027\u53c2\u4e0e\uff08Context-Agnostic Engagement\uff09\u3002\u672c\u6587\u63a2\u8ba8\u7684\u662f\u540e\u8005\uff0c\u672c\u6587\u7814\u7a76\u4e86\u60c5\u666f\u65e0\u5173\u6027\u53c2\u4e0e\u6240\u6d89\u53ca\u7684\u7279\u5f81\u3002\u8fd9\u5c06\u4f5c\u4e3a\u6784\u5efa\u6574\u5408\u7684\u6559\u80b2\u63a8\u8350\u7cfb\u7edf\u7684\u7b2c\u4e00\u6b65\uff0c\u4e3a\u5c06\u60c5\u666f\u5316\u548c\u60c5\u666f\u65e0\u5173\u7684\u7279\u5f81\u7ed3\u5408\u63d0\u4f9b\u4e86\u53ef\u80fd\u3002<\/p>\n

\u7531\u4e8e\u76f8\u5173\u7684\u7814\u7a76\u5de5\u4f5c\u5f88\u5c11\uff0c\u4e3a\u4e86\u5728\u5728\u7ebf\u6559\u80b2\u5e73\u53f0\u4e2d\u90e8\u7f72\u7814\u7a76\u6a21\u578b\uff0c\u672c\u6587\u4f5c\u8005\u63d0\u51fa\u4e86\u4ee5\u4e0b\u7814\u7a76\u95ee\u9898\uff1a<\/p>\n

RQ1\uff1a\u5982\u4f55\u7f16\u7801\u60c5\u666f\u65e0\u5173\u6027\u53c2\u4e0e\uff1f<\/p>\n

RQ2\uff1a\u57fa\u4e8e\u8de8\u6a21\u6001\u8bed\u8a00\u7684\u7279\u5f81\u5bf9\u9884\u6d4b\u89c6\u9891\u8bb2\u5ea7\u7684\u53c2\u4e0e\u5ea6\u6709\u591a\u6709\u6548\uff1f<\/p>\n

RQ3\uff1a\u662f\u5426\u5305\u542b\u6a21\u6001\u89c4\u8303\u6027\u529f\u80fd\u80fd\u4f7f\u6027\u80fd\u663e\u8457\u6539\u5584\uff1f<\/p>\n

RQ4\uff1a\u5f71\u54cd\u60c5\u666f\u65e0\u5173\u6027\u53c2\u4e0e\u7684\u7279\u70b9\u662f\u4ec0\u4e48\uff1f<\/p>\n

RQ5\uff1a\u9884\u6d4b\u57fa\u4e8e\u4eba\u7fa4\u7684\u53c2\u4e0e\u6bd4\u7814\u7a76\u4e2a\u6027\u5316\u53c2\u4e0e\u66f4\u6709\u7528\u5417\uff1f<\/p>\n

RQ6\uff1a\u6211\u4eec\u80fd\u5426\u5047\u8bbe\u4e00\u4e2a\u5171\u540c\u7684\u57fa\u7840\u6a21\u578b\u6765\u9884\u6d4b\u4e0d\u540c\u77e5\u8bc6\u9886\u57df\u7684\u53c2\u4e0e\u5ea6\uff1f<\/p>\n

\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u672c\u6587\u5b8c\u6210\u4e86\u4ee5\u4e0b\u4e3b\u8981\u5de5\u4f5c\uff1a<\/p>\n

\u7ed3\u5408\u5fc3\u7406\u6d4b\u91cf\u5b66\u6587\u732e\uff0c\u7814\u7a76\u4e86\u91cd\u65b0\u5b9a\u4e49\u7528\u6237\u53c2\u4e0e\u4fe1\u53f7\u7684\u65b9\u6cd5\uff08RQ1\uff09\u3002<\/p>\n

\u63d0\u51fa\u4e86\u4e24\u7ec4\u6613\u4e8e\u81ea\u52a8\u5316\u9884\u6d4b\u53c2\u4e0e\u5ea6\u7684\u7279\u5f81\uff08\u57fa\u4e8e\u60c5\u666f\u65e0\u5173\u7684\u8d28\u91cf\u6587\u732e\u548c\u89c6\u9891\u7279\u5b9a\u7279\u5f81\u7684\u8de8\u6a21\u5f0f\u7279\u5f81\uff09\uff0c\u5e76\u8bc4\u4f30\u4e86\u5b83\u4eec\uff08RQ2 \u548c RQ3\uff09\u9884\u6d4b\u6027\u80fd\u7684\u5dee\u5f02\u3002<\/p>\n

\u6784\u5efa\u4e86\u4e00\u4e2a\u5927\u578b\u89c6\u9891\u8bb2\u5ea7\u6570\u636e\u96c6\uff0c\u5e76\u8bc4\u4f30\u4e86\u6240\u63d0\u51fa\u7684\u53c2\u4e0e\u4fe1\u53f7\u548c\u7279\u5f81\u96c6\uff08RQ2-4\uff09\u7684\u6027\u80fd\u3002<\/p>\n

\u6bd4\u8f83\u4e86\u8de8\u6a21\u6001\u7279\u5f81\uff0c\u5206\u6790\u4e86\u5355\u4e2a\u7279\u5f81\u5728\u9884\u6d4b\u6a21\u578b\u4e2d\u7684\u5f71\u54cd\uff08RQ4\uff09\u3002<\/p>\n

\u5c06\u672c\u6587\u7684\u57fa\u4e8e\u4eba\u7fa4\u7684\u53c2\u4e0e\u65b9\u6cd5\u4e0e\u4e2a\u6027\u5316\u7684\u7c7b\u4f3c\u65b9\u6cd5\u8fdb\u884c\u6bd4\u8f83\uff0c\u4ee5\u8bc1\u660e\u5176\u6709\u7528\u6027\uff08RQ5\uff09\u3002<\/p>\n

\u6bd4\u8f83\u4e86\u5c06\u89c6\u9891\u8bb2\u5ea7\u5206\u4e3a\u4e24\u4e2a\u4e0d\u540c\u7684\u77e5\u8bc6\u9886\u57df\uff1aSTEM\uff08\u5982\u6280\u672f\u3001\u7269\u7406\u548c\u6570\u5b66\u8bb2\u5ea7\uff09\u4e0e\u5176\u4ed6\u9886\u57df\uff08\u5982\u827a\u672f\u3001\u793e\u4f1a\u79d1\u5b66\u548c\u54f2\u5b66\u8bb2\u5ea7\uff09\u7684\u53c2\u4e0e\u6a21\u5f0f\u3002<\/p>\n

\u672c\u6587\u4f7f\u7528\u7684\u6570\u636e\u6765\u81ea\u4e00\u4e2a\u6d41\u884c\u7684 OERs \u8d44\u6599\u5e93\uff0c\u89c6\u9891\u8bb2\u5ea7 Net\uff08VLN\uff09\uff0c\u5730\u5740\u5982\u4e0b\uff1awww.videolectures.net\uff0c\u5e76\u4ece\u5176\u4e2d\u9009\u62e9\u4e86\u7814\u7a76\u4eba\u5458\u5728\u540c\u884c\u8bc4\u5ba1\u4f1a\u8bae\u4e0a\u6f14\u793a\u7684\u89c6\u9891\u96c6\u5408\u3002<\/p>\n

\u672c\u6587\u4f7f\u7528\u7684\u7279\u5f81\u5305\u62ec\uff1a<\/p>\n

\u6388\u8bfe\u65f6\u957f\uff08Lecture Duration\uff09\uff0c\u56e0\u4e3a\u8f83\u77ed\u7684\u89c6\u9891\u4e00\u822c\u66f4\u5177\u5438\u5f15\u529b\uff1b<\/p>\n

\u5206\u5757\uff08Chunking\uff09\uff0c\u5373\u6f14\u8bb2\u662f\u5426\u88ab\u5206\u6210\u591a\u4e2a\u90e8\u5206\uff1b<\/p>\n

\u63cf\u8ff0\u6388\u8bfe\u7c7b\u578b\uff08Type of Lecture\uff09\u7684\u4e00\u7ec4\u6307\u6807\u53d8\u91cf\uff0c\u5982\u6559\u7a0b\u3001\u7814\u8ba8\u4f1a\u7b49\uff1b<\/p>\n

\u6f14\u8bb2\u8005\u901f\u5ea6\uff08Speaker Speed\uff09\uff0c\u4f7f\u7528\u6bcf\u5206\u949f\u5e73\u5747\u8bb2\u8bcd\u91cf\u6765\u8861\u91cf\uff1b<\/p>\n

\u6c89\u9ed8\u671f\u7387\uff08Silence Period Rate\uff0cSPR\uff09\uff0c\u5b83\u662f\u4f7f\u7528\u89c6\u9891\u8bb0\u5f55\u4e2d\u8868\u793a\u6c89\u9ed8\u7684\u7279\u6b8a\u6807\u8bb0\u8ba1\u7b97\u51fa\u6765\u7684\u3002\u5177\u4f53\u800c\u8a00\uff0cSPR \u8ba1\u7b97\u5982\u4e0b\uff1a<\/p>\n

\u5176\u4e2d\uff0ct \u662f\u5c5e\u4e8e\u7b2c l \u8bb2\u7684\u6807\u8bb0 t (l) \u96c6\u5408\u4e2d\u7684\u6807\u8bb0\uff0cN \u4e3a\u6807\u8bb0 t \u7684\u7c7b\u578b\uff0cD \u4e3a\u6807\u8bb0 t \u6216\u8bb2\u5ea7\u7684\u6301\u7eed\u65f6\u95f4\uff0cI () \u662f\u6307\u793a\u51fd\u6570\u3002<\/p>\n

2. \u5177\u4f53\u4efb\u52a1\u5206\u6790<\/p>\n

2.1 \u91cf\u5316\u53c2\u4e0e\u5ea6\uff08RQ1\uff09<\/p>\n

\u672c\u6587\u5173\u6ce8\u7684\u53c2\u4e0e\u5ea6\u662f\u4e00\u79cd\u9690\u6027\u7528\u6237\u53cd\u9988\u3002\u672c\u6587\u7528\u6765\u91cf\u5316\u53c2\u4e0e\u5ea6\u7684\u4e3b\u8981\u6307\u6807\u662f\u6807\u51c6\u5316\u53c2\u4e0e \/ \u89c2\u5bdf\u65f6\u95f4\uff08Median of Normalised Engagement\/Watch Time\uff0cMNET\uff09\u7684\u4e2d\u4f4d\u6570\uff0cMNET \u88ab\u8ba4\u4e3a\u662f\u53c2\u4e0e\u6559\u80b2\u6750\u6599\u7684\u9ec4\u91d1\u6807\u51c6 [8]\u3002\u4e3a\u4e86\u4f7f MNET \u6807\u7b7e\u5728 [0;1] \u8303\u56f4\u5185\uff0c\u5c06 MNET \u7684\u4e0a\u9650\u8bbe\u7f6e\u4e3a 1\u3002\u4f5c\u8005\u5728\u6700\u521d\u7684\u6570\u636e\u5206\u6790\u4e2d\u53d1\u73b0\uff0cVLN \u6570\u636e\u96c6\u4e2d\u7684 MNET \u503c\u9075\u5faa\u5bf9\u6570\u6b63\u6001\u5206\u5e03\uff0c\u5728\u8fd9\u79cd\u5206\u5e03\u4e2d\uff0c\u5927\u591a\u6570\u7528\u6237\u901a\u5e38\u5728\u8f83\u5c0f\u7684\u65f6\u95f4\u9608\u503c\u540e\u4f1a\u653e\u5f03\u89c2\u770b\u8bb2\u5ea7\u3002\u5047\u8bbe\u8fd9\u53ef\u80fd\u662f\u56e0\u4e3a\u9700\u8981\u4e00\u4e9b\u65f6\u95f4\u6765\u51b3\u5b9a\u5185\u5bb9\u662f\u5426\u4e0e\u5b66\u4e60\u8005\u76f8\u5173\u3002\u8d85\u8fc7\u8fd9\u4e2a\u9608\u503c\u7684\u7528\u6237\u770b\u8d77\u6765\u66f4\u6295\u5165\uff0c\u56e0\u6b64\u79bb\u5f00\u7387\u663e\u8457\u964d\u4f4e\u3002\u4e3a\u4e86\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u672c\u6587\u4f7f\u7528 Log \u53d8\u6362\u6765\u8f6c\u6362\u63a5\u5408\u4fe1\u53f7\u3002\u6700\u7ec8\u6807\u7b7e\uff0c\u5373\u5bf9\u6570\u4e2d\u4f4d\u6570\u6807\u51c6\u5316\u53c2\u4e0e\u65f6\u95f4\uff08Log Median Normalised Engagement Time\uff0cLMNET\uff09\u8ba1\u7b97\u5982\u4e0b\uff1a<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe16\"<\/p>\n <\/div>2.2 \u673a\u5668\u5b66\u4e60\u6a21\u578b\uff08RQ2\uff09

\u4e3a\u4e86\u5b66\u4e60\u6839\u636e\u53c2\u4e0e\u5ea6\u5bf9\u89c6\u9891\u8bb2\u5ea7\u8fdb\u884c\u6392\u540d\uff0c\u672c\u6587\u4f7f\u7528\u9010\u70b9\u6392\u5e8f\u6a21\u578b\u6765\u8bc4\u4f30\u6548\u679c\u3002\u56de\u5f52\u7b97\u6cd5\u5728\u5b9e\u503c\u7a7a\u95f4\u4e2d\u9884\u6d4b\u76ee\u6807\u53d8\u91cf\uff0c\u8fd9\u4f7f\u5f97\u5b83\u4eec\u80fd\u591f\u6839\u636e\u9884\u6d4b\u521b\u5efa\u89c2\u6d4b\u503c\u7684\u5168\u5c40\u6392\u540d\u3002\u6b64\u5916\uff0c\u8fd8\u4f7f\u7528\u4e86\u6838\u51fd\u6570\u8bc4\u4f30\u4e86\u53c2\u4e0e\u5ea6\u9884\u6d4b\u7684\u6027\u80fd\u3002\u5f15\u5165\u6838\u51fd\u6570\uff0c\u80fd\u591f\u6709\u6548\u6355\u83b7\u6570\u636e\u4e2d\u7684\u975e\u7ebf\u6027\u7279\u5f81\u3002\u672c\u6587\u4f7f\u7528\u5f84\u5411\u57fa\u51fd\u6570\uff08Radial Basis Function\uff0cRBF\uff09\u3002\u672c\u6587\u4f7f\u7528\u7684\u56de\u5f52\u7b97\u6cd5\u5305\u62ec\u5cad\u56de\u5f52\uff08Ridge Regression\uff0cRR\uff09\u548c\u652f\u6301\u5411\u91cf\u56de\u5f52\uff08Support Vector Regression \uff0cSVR\uff09\u3002<\/p>\n

\u6b64\u5916\uff0c\u672c\u6587\u8fd8\u8bc4\u4f30\u4e86\u4e24\u79cd\u7b97\u6cd5\uff08\u5e38\u89c4\u7b97\u6cd5\u3001RBF \u6838\uff09\u3001\u6838\u5cad\u56de\u5f52\uff08KRR\uff09\u548c\u6838\u652f\u6301\u5411\u91cf\u56de\u5f52\uff08KSVR\uff09\u7684\u6838\u5316\u7248\u672c\u7684\u6027\u80fd\u3002\u57fa\u4e8e\u8fd9\u4e9b\u8bc4\u4f30\uff0c\u80fd\u591f\u4e86\u89e3\u6a21\u5f0f\u4e2d\u662f\u5426\u5b58\u5728\u975e\u7ebf\u6027\u7279\u5f81\uff0c\u4ece\u800c\u6709\u5229\u4e8e\u5b8c\u6210\u9884\u6d4b\u4efb\u52a1\u3002\u5728\u4e0a\u9762\u8ba8\u8bba\u7684\u6240\u6709\u56db\u4e2a\u6a21\u578b\u4e2d\uff0c\u672c\u6587\u4f7f\u7528\u6807\u51c6\u7f29\u653e\uff0c\u56e0\u4e3a\u8fd9\u4e9b\u6a21\u578b\u5e76\u4e0d\u662f\u5c3a\u5ea6\u4e0d\u53d8\u7684\u3002L2 \u6b63\u5219\u5316\u7528\u4e8e\u9632\u6b62\u8fc7\u5ea6\u62df\u5408\u548c\u591a\u91cd\u5171\u7ebf\u6027\u3002\u7531\u4e8e\u5728\u5148\u524d\u7684\u5de5\u4f5c\u4e2d\uff0c\u57fa\u4e8e\u96c6\u5408\u6280\u672f\u7684\u65b9\u6cd5\u4e5f\u8868\u73b0\u826f\u597d\uff0c\u672c\u6587\u4e5f\u4f7f\u7528\u968f\u673a\u68ee\u6797\u56de\u5f52\uff08RF\uff09\u65b9\u6cd5\u6765\u8bc4\u4f30\u5176\u9884\u6d4b\u80fd\u529b\u3002\u8be5\u6a21\u578b\u8fd8\u80fd\u591f\u6355\u6349\u975e\u7ebf\u6027\u6a21\u5f0f\u3002<\/p>\n

2.3 \u7279\u5f81\u91cd\u8981\u6027\u5206\u6790\uff08RQ4\uff09<\/p>\n

\u672c\u6587\u4f7f\u7528 SHapley \u52a0\u6cd5\u89e3\u91ca\uff08SHapley Additive exPlanations\uff0cSHAP\uff09\u6765\u8fdb\u884c\u7279\u5f81\u91cd\u8981\u6027\u5206\u6790\u3002SHAP \u662f\u4e00\u4e2a\u6a21\u578b\u65e0\u5173\u7684\u6846\u67b6\uff0c\u5b83\u91cf\u5316\u4e86\u7279\u5f81\u5bf9\u6a21\u578b\u9884\u6d4b\u7684\u5f71\u54cd\u3002SHAP \u901a\u8fc7\u4e3a\u6bcf\u4e2a\u9884\u6d4b\u7684\u6bcf\u4e2a\u7279\u5f81\u8ba1\u7b97\u4e00\u4e2a\u5f62\u72b6\u503c\uff0c\u4f30\u7b97\u4e86\u590d\u6742\u6a21\u578b\u65cf\u7684\u7279\u5f81\u91cd\u8981\u6027 [9]\u3002\u901a\u8fc7\u5c06\u9884\u6d4b\u6570\u636e\u70b9\u7684\u6240\u6709\u5f62\u72b6\u503c\u7ed8\u5236\u5728\u5f62\u72b6\u6458\u8981\u56fe\u4e2d\uff0c\u53ef\u4ee5\u786e\u5b9a\u6bcf\u4e2a\u7279\u5f81\u5bf9\u9884\u6d4b\u7ed3\u679c\u7684\u5f71\u54cd\u3002\u901a\u8fc7\u8ba1\u7b97\u6bcf\u4e2a\u7279\u5f81 f \u7684\u5e73\u5747\u7edd\u5bf9\u5f62\u72b6\uff08Mean Absolute SHAP\uff0cMAS\uff09\u53ef\u4ee5\u5bf9\u7279\u5f81\u5f71\u54cd\u8fdb\u884c\u5b9a\u91cf\u5206\u6790\u3002\u5177\u4f53\u5730\uff0cMAS \u8ba1\u7b97\u5982\u4e0b\uff1a<\/p>\n

\u5176\u4e2d\uff0cN \u662f\u89c2\u5bdf\u6b21\u6570\u3002<\/p>\n

3. \u5b9e\u9a8c\u5206\u6790<\/p>\n

\u672c\u6587\u901a\u8fc7\u5bf9\u4e24\u4e2a\u7279\u5f81\u96c6\u8fdb\u884c 5 \u6b21\u4ea4\u53c9\u9a8c\u8bc1\u6765\u5b8c\u6210\u5bf9\u4e0d\u540c\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u8bc4\u4f30\u3002\u4e0d\u540c\u673a\u5668\u5b66\u4e60\u6a21\u578b\u5728\u4e0d\u540c\u53c2\u4e0e\u91cf\u5316\u65b9\u6cd5\u4e0b\u7684\u6027\u80fd\u89c1\u8868 1\u3002\u6dfb\u52a0\u89c6\u9891\u7279\u5b9a\u529f\u80fd\u65f6\u7684\u6027\u80fd\u89c1\u8868 2\u3002\u672c\u6587\u7684\u5b9e\u9a8c\u662f\u4f7f\u7528 scikitlearn\u3001textatistic \u548c SHAP \u7684 Python \u5305\u5b9e\u73b0\u7684\u3002<\/p>\n

Python \u4ee3\u7801\u548c\u6240\u4f7f\u7528\u7684\u6570\u636e\u5e93\u5df2\u516c\u5f00\uff1ahttps:\/\/github.com\/sahanbull\/context-agnostic-engagement<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe17\"<\/p>\n <\/div>\u8868 1. \u57fa\u4e8e 5 \u500d\u4ea4\u53c9\u9a8c\u8bc1\u548c\u4ea4\u53c9\u6a21\u6001\u7279\u5f81\u7684\u5177\u6709\u6807\u51c6\u8bef\u5dee\u7684\u53c2\u4e0e\u9884\u6d4b\u6a21\u578b\u7684\u6210\u5bf9\u7cbe\u5ea6\uff08Pair.\uff09\u548c Spearman \u79e9\u76f8\u5173\u7cfb\u6570\uff08SROCC\uff09

3.1 RQ1 \u4efb\u52a1\u5b9e\u9a8c\u7ed3\u679c\uff1a\u5206\u6790\u53c2\u4e0e\u5ea6\u3001\u6d4f\u89c8\u6b21\u6570\u548c\u5e73\u5747\u661f\u7ea7\u8bc4\u5206\u4e4b\u95f4\u7684\u5173\u7cfb<\/p>\n

\u672c\u6587\u6240\u4f7f\u7528\u7684 VLN \u6570\u636e\u6e90\u4e2d\u4e5f\u6709\u8003\u8651\u4e0d\u540c\u7684\u8bb2\u5ea7\u8bfe\u7a0b\u5185\u5bb9\u5b50\u96c6\u7684\u5e73\u5747\u661f\u7ea7\u8bc4\u5206\uff08\u663e\u5f0f\u53cd\u9988\uff09\u3002\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0c\u6211\u4eec\u53ea\u80fd\u83b7\u5f97\u5e73\u5747\u661f\u7ea7\u8bc4\u7ea7\uff0c\u800c\u4e0d\u662f\u6bcf\u4e2a\u89c2\u5bdf\u5458\u7684\u4e2a\u4eba\u8bc4\u7ea7\u6216\u6d4b\u91cf\u6570\u91cf\u3002\u56fe 1 \u4e2d\u7ed9\u51fa\u4e86\u5e73\u5747\u661f\u7ea7 vs MNET \u7684\u7ed3\u679c\u548c\u6d4f\u89c8\u6b21\u6570\u3002SROCC \u63a5\u8fd1\u4e8e\u96f6\uff0c\u8fd9\u4e3b\u8981\u662f\u56e0\u4e3a\u8bb2\u5ea7\u6570\u91cf\u591a\u3001\u6536\u89c6\u7387\u9ad8\uff0c\u4f46\u53c2\u4e0e\u5ea6\u4f4e\uff0c\u800c\u4e14\u89c2\u770b\u4eba\u6570\u4e5f\u4e0d\u591a\u3002\u4f5c\u8005\u6d4b\u8bd5\u4e86\u6240\u8003\u8651\u7684 4 \u4e2a\u4e0d\u540c\u7248\u672c\u7684\u53c2\u4e0e\u5ea6\uff08\u539f\u59cb\u7248\u672c\u3001\u6e05\u6d01\u7248\u672c\u3001\u6807\u51c6\u5316\u7248\u672c\u548c\u6bd4\u8f83\u7248\u672c\uff09\u7684\u76f8\u5173\u6027\uff0c\u4f46\u90fd\u53d6\u5f97\u4e86\u76f8\u4f3c\u7684\u7ed3\u679c\uff0cSROCC \u63a5\u8fd1\u4e8e\u96f6\u3002\u4f5c\u8005\u4ece\u56fe 1 \u5f97\u51fa\u7ed3\u8bba\uff1a\u6d4f\u89c8\u91cf\u3001\u8bc4\u5206\u548c\u53c2\u4e0e\u5ea6\u786e\u5b9e\u4ee3\u8868\u4e86\u975e\u5e38\u4e0d\u540c\u7684\u4fe1\u606f\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe18\"<\/p>\n <\/div>\u56fe 1. \u6563\u70b9\u56fe\uff0c\u663e\u793a\u4e86\uff08i\uff09\u6d4f\u89c8\u91cf\u4e0e MNET \u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\uff08ii\uff09\u89c6\u9891\u8bb2\u5ea7\u7684\u5e73\u5747\u661f\u7ea7\u4e0e MNET \u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\uff08iii\uff09\u5e73\u5747\u661f\u7ea7\u4e0e\u6d4f\u89c8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u4ee5\u53ca Spearman \u7684\u7b49\u7ea7\u76f8\u5173\u7cfb\u6570\uff08SROCC\uff09\u3002

3.2 RQ1-2 \u4efb\u52a1\u5b9e\u9a8c\u7ed3\u679c\uff1a\u6d4b\u8bd5\u4e0d\u540c\u673a\u5668\u5b66\u4e60\u6a21\u578b\u548c\u53c2\u4e0e\u4fe1\u53f7\u7684\u4ea4\u53c9\u6a21\u6001\u7279\u5f81<\/p>\n

\u4f5c\u8005\u63d0\u51fa\u4e86\u56db\u79cd\u6bd4\u8f83\u7cbe\u786e\u7684\u5b9a\u91cf\u65b9\u6cd5\uff08\u539f\u59cb\u7248\u672c LMNET\u3001 \u6e05\u6d01\u7248\u672c\u3001\u6807\u51c6\u5316\u7248\u672c\u548c\u6bd4\u8f83\u7248\u672c\uff09\uff0c\u5e76\u5bf9\u8fd9\u56db\u79cd\u65b9\u6cd5\u8fdb\u884c\u4e86\u6bd4\u8f83\u3002\u8fd9\u4e2a\u5b9e\u9a8c\u7684\u76ee\u7684\u662f\u9a8c\u8bc1\u5728\u7ed9\u5b9a\u6240\u63d0\u51fa\u7279\u5f81\u7684\u524d\u63d0\u4e0b\uff0c\u54ea\u4e2a\u8f93\u51fa\u76ee\u6807\u53d8\u91cf\u66f4\u5bb9\u6613\u9884\u6d4b\u3002\u8868 2 \u7ed9\u51fa\u4e86\u8fd9\u4e9b\u7ed3\u679c\uff0c\u4ee5\u53ca\u5728\u57fa\u4e8e 5 \u500d\u4ea4\u53c9\u9a8c\u8bc1\u7684\u6807\u51c6\u8bef\u5dee\u754c\u4e0b\uff0c\u6bcf\u4e2a\u673a\u5668\u5b66\u4e60\u6a21\u578b\u83b7\u5f97\u7684\u6210\u5bf9\u7cbe\u5ea6\uff08Pair.\uff09\u548c Spearman \u79e9\u5e8f\u76f8\u5173\u7cfb\u6570\uff08SROCC\uff09\u3002\u7cbe\u5ea6\u503c\u8d8a\u5927\uff0c\u6a21\u578b\u7684\u6027\u80fd\u8d8a\u597d\u3002\u8fd9\u4e9b\u7ed3\u679c\u8868\u660e\uff0c\u539f\u59cb LMNET \u53ef\u80fd\u662f\u6700\u5408\u9002\u7684\u76ee\u6807\u6807\u7b7e\uff0c\u7279\u522b\u662f\u5728\u5efa\u7acb\u9884\u6d4b\u539f\u59cb LMNET \u7684\u6a21\u578b\u65f6\uff0c\u6240\u63d0\u51fa\u7684\u7279\u5f81\u4f3c\u4e4e\u66f4\u6709\u7528\u3002<\/p>\n

\u4f5c\u8005\u4ece\u8868 2 \u4e2d\u5f97\u51fa\u53e6\u5916\u4e00\u4e2a\u89c2\u5bdf\u7ed3\u8bba\u662f\uff1aKRR \u548c KSVR \u6a21\u578b\u7684\u6027\u80fd\u4f18\u4e8e\u7ebf\u6027\u6a21\u578b\u3002\u8fd9\u8868\u660e\uff0c\u6570\u636e\u96c6\u4e2d\u53ef\u80fd\u5b58\u5728\u975e\u7ebf\u6027\u7684\u5173\u7cfb\uff0c\u800c\u5f15\u5165\u6838\u51fd\u6570\u53ef\u4ee5\u66f4\u597d\u5730\u6355\u6349\u5230\u8fd9\u4e9b\u975e\u7ebf\u6027\u7279\u5f81\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe19\"<\/p>\n <\/div>\u8868 2. \u901a\u8fc7\u4f7f\u7528\u57fa\u4e8e\u5185\u5bb9\u7684\u529f\u80fd\u4e0e\u57fa\u4e8e\u5185\u5bb9\u7684 + \u89c6\u9891\u7279\u5b9a\u529f\u80fd\u7684 RF \u6a21\u578b\u7684 5 \u500d\u4ea4\u53c9\u9a8c\u8bc1\uff0c\u5b9e\u73b0\u6807\u51c6\u8bef\u5dee\u7684\u6210\u5bf9\u51c6\u786e\u5ea6\u3002

3.3 RQ3 \u4efb\u52a1\u5b9e\u9a8c\u7ed3\u679c\uff1a\u7814\u7a76\u60c5\u6001\u7279\u5f81\u5bf9\u8de8\u5b66\u79d1\u9886\u57df\u7684\u5f71\u54cd\u548c\u6bd4\u8f83<\/p>\n

\u8868 3 \u7684\u7ed3\u679c\u7528\u4e8e\u9a8c\u8bc1\uff1a\u5f53\u4ec5\u9650\u4e8e\u7279\u5b9a\u4e3b\u9898\u7684\u6bd4\u8f83\uff08\u5c5e\u4e8e\u540c\u4e00\u4e3b\u9898\u9886\u57df\u7684\u8bb2\u5ea7\u5bf9\uff09\u65f6\uff0c\u5982\u4f55\u63d0\u9ad8\u6210\u5bf9\u51c6\u786e\u5ea6\u3002\u5728\u591a\u6570\u60c5\u51b5\u4e0b\uff0c\u6559\u80b2\u63a8\u8350\u7cfb\u7edf\u9700\u8981\u5728\u5c5e\u4e8e\u540c\u4e00\u4e3b\u9898\u9886\u57df\u7684\u4e00\u7ec4\u8d44\u6e90\u4e2d\u8fdb\u884c\u9009\u62e9\u3002\u8868 3 \u8fd8\u663e\u793a\u4e86\u5728\u4e13\u95e8\u4f7f\u7528\u8de8\u6a21\u6001\u529f\u80fd\u96c6\u548c\u6dfb\u52a0\u89c6\u9891\u89c4\u8303\u5316\u529f\u80fd\u65f6\u6027\u80fd\u7684\u5dee\u5f02\u3002\u6dfb\u52a0\u89c6\u9891\u529f\u80fd\u53ef\u4f7f\u6027\u80fd\u63d0\u9ad8\u7ea6 2%\u3002\u8fd9\u4e00\u7ed3\u679c\u8868\u660e\uff0c\u867d\u7136\u53ef\u4ee5\u5728\u4e0d\u540c\u7684\u5b9e\u9645\u573a\u666f\u4e2d\u590d\u7528\u7279\u5f81\u63d0\u53d6\u5668\uff0c\u4f46\u5f53\u5904\u7406\u8de8\u6a21\u6001\u7684\u7279\u5f81\u65f6\uff0c\u6027\u80fd\u5c31\u4f1a\u53d7\u5230\u5f71\u54cd\u3002<\/p>\n

\n

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\n

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\n

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2\uff09\u5728\u8de8\u6a21\u6001\u65b9\u9762\uff0c\u53ef\u4ee5\u8003\u8651\u66f4\u591a\u5173\u6ce8\u57fa\u4e8e\u5185\u5bb9\u7406\u89e3\u7684\u7279\u5f81\uff0c\u5982\u8bdd\u9898\u8fde\u8d2f\u6027\u548c\u8bba\u636e\u5f3a\u5ea6\u7b49\u3002\u5728\u7279\u5b9a\u7684\u89c6\u9891\u524d\u7aef\uff0c\u751a\u81f3\u53ef\u4ee5\u878d\u5408\u4e3b\u6301\u4eba\u7684\u751f\u52a8\u6027\u3001\u97f3\u8d28\u548c\u53d9\u4e8b\u54c1\u8d28\u7b49\u7279\u5f81\u3002<\/p>\n

3\uff09\u5173\u4e8e\u6a21\u578b\u7684\u6cdb\u5316\u80fd\u529b\uff0c\u53ef\u4ee5\u4f7f\u7528\u66f4\u5927\u7684\u89c6\u9891\u8bb2\u5ea7\u6570\u636e\u96c6\u548c\u6587\u672c\u6570\u636e\u96c6\u8bc4\u4f30\u8de8\u6a21\u6001\u7279\u5f81\u96c6\u7684\u6709\u6548\u6027\uff0c\u4ece\u800c\u63d0\u9ad8\u7279\u5f81\u96c6\u7684\u53ef\u4fe1\u5ea6\u3002\u540c\u6837\uff0c\u4e5f\u5e94\u8fdb\u4e00\u6b65\u8003\u8651\u4f7f\u7528\u975e\u82f1\u8bed\u8bed\u8a00\u7684\u6570\u636e\u96c6\u3002<\/p>\n

\u4e09\u3001Developing Joint Attention for Children with Autism in Robot-Enhanced Therapy<\/p>\n

\n

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\u56e0\u6b64\uff0c\u672c\u6587\u7684\u4e3b\u8981\u7814\u7a76\u76ee\u7684\u662f\u63a2\u8ba8\u81ea\u95ed\u75c7\u513f\u7ae5\u7684 JA \u8868\u73b0\u662f\u5426\u4f9d\u8d56\u4e8e\u673a\u5668\u4eba\u5728\u6cbb\u7597\u8fc7\u7a0b\u4e2d\u4f7f\u7528\u7684\u793e\u4ea4\u7ebf\u7d22\uff08Social Cues\uff09\u3002\u672c\u6587\u4e3b\u8981\u8003\u8651\u4e86\u4e09\u79cd\u4e0d\u540c\u7c7b\u578b\u7684\u793e\u4ea4\u7ebf\u7d22\uff1a\u5934\u90e8\u65b9\u5411\uff08head orientation\uff09\uff0c\u6307\u793a\uff08 pointing\uff09\u548c\u53e3\u5934\u6307\u4ee4\uff08 vocal instruction\uff09\u3002\u4f5c\u8005\u8ba4\u4e3a\uff0c\u673a\u5668\u4eba\u4f7f\u7528\u7684\u793e\u4ea4\u7ebf\u7d22\u8d8a\u591a\uff0c\u513f\u7ae5\u7684\u8868\u73b0\u5c31\u4f1a\u8d8a\u597d\u3002\u6b64\u5916\uff0c\u672c\u6587\u5229\u7528\u4e86\u6b27\u76df Dream \u9879\u76ee\uff08https:\/\/www.dream2020.eu\/\uff09\u5f00\u53d1\u7684 NAO \u673a\u5668\u4eba\uff0c\u7814\u7a76\u4e86\u673a\u5668\u4eba\u5f3a\u5316\u6cbb\u7597\u4e0e\u6807\u51c6\u4eba\u7c7b\u6cbb\u7597\u662f\u5426\u5177\u6709\u76f8\u4f3c\u7684\u6a21\u5f0f\u3002<\/p>\n

1. \u7814\u7a76\u5185\u5bb9\u4ecb\u7ecd<\/p>\n

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\n

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\u672c\u6587\u7684\u5b9e\u9a8c\u91c7\u7528\u4e86\u7ecf\u5178\u7684\u5355\u75c5\u4f8b\u66ff\u4ee3\u6cbb\u7597\u8bbe\u8ba1 [10]\u3002\u5355\u75c5\u4f8b\u66ff\u4ee3\u6cbb\u7597\u8bbe\u8ba1\u53ef\u4ee5\u4e3a\u6cbb\u7597\u624b\u6bb5\u7684\u5e72\u9884\u6548\u679c\u63d0\u4f9b\u4e25\u683c\u7684\u5b9e\u9a8c\u8bc4\u4f30\uff0c\u4ee5\u53ca\u5177\u6709\u4ee5\u4e0b\u51e0\u4e2a\u57fa\u672c\u7279\u70b9\uff1a\uff081\uff09\u786e\u5b9a\u57fa\u7ebf\u6d4b\u91cf\u503c\uff1b\uff082\uff09\u8fde\u7eed\u548c\u91cd\u590d\u6d4b\u91cf\u4f9d\u8d56\u53d8\u91cf\uff1b\uff083\uff09 \u72ec\u7acb\u53d8\u91cf\u64cd\u4f5c\uff1b\uff084\uff09\u9488\u5bf9\u540c\u4e00\u53d7\u8bd5\u8005\u968f\u65f6\u95f4\u590d\u5236\u5e72\u9884\u6548\u679c\u3002\u5355\u75c5\u4f8b\u66ff\u4ee3\u6cbb\u7597\u8bbe\u8ba1\u63d0\u4f9b\u4e86\u5bf9\u4e00\u4e2a\u53d7\u8bd5\u8005\u6bd4\u8f83\u4e24\u79cd\u6cbb\u7597\u65b9\u6848\u7684\u53ef\u80fd\u6027\u3002\u56e0\u6b64\uff0c\u5728\u4e00\u4e2a\u57fa\u7ebf\u65f6\u671f\u5185\uff0c\u4e24\u4e2a\u6cbb\u7597\u65b9\u6848\uff08A \u548c B\uff09\u4ee5\u4ea4\u66ff\uff08\u968f\u673a\uff09\u987a\u5e8f\u8fdb\u884c\uff0c\u4ece\u800c\u5b8c\u6210\u5bf9\u4e00\u4e2a\u6216\u591a\u4e2a\u884c\u4e3a\u5f71\u54cd\u7684\u89c2\u5bdf\u3002\u5206\u522b\u7ed8\u5236\u51fa\u6bcf\u79cd\u5e72\u9884\u63aa\u65bd\u7684\u6548\u679c\u6570\u636e\uff0c\u4ee5\u7ed9\u51fa\u6bcf\u79cd\u6cbb\u7597\u6548\u679c\u7684\u76f4\u89c2\u8868\u793a\u3002<\/p>\n

\u5728\u53d7\u8bd5\u7684\u5404\u4e2a\u9636\u6bb5\uff0c\u513f\u7ae5\u90fd\u76f4\u63a5\u4e0e\u673a\u5668\u4eba \/ \u4eba\u7c7b\u4e92\u52a8\u3002\u5728\u673a\u5668\u4eba\u589e\u5f3a\u6cbb\u7597\uff08robot-enhanced treatment\uff0cRET\uff09\u6761\u4ef6\u4e0b\uff0c\u673a\u5668\u4eba\u5750\u5728\u684c\u5b50\u4e0a\uff0c\u800c\u57fa\u7ebf\u6d4b\u91cf\uff08baseline measurement\uff0cBM\uff09\u548c\u6807\u51c6\u4eba\u7c7b\u6cbb\u7597\uff08standard human treatment\uff0cSHT\uff09\u6761\u4ef6\u4e0b\uff0c\u6cbb\u7597\u5e08\u5750\u5728\u684c\u5b50\u540e\u9762\u7684\u6905\u5b50\u4e0a\uff0c\u5177\u4f53\u89c1\u56fe 1\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe25\"<\/p>\n <\/div>\u56fe 1. \u5b9e\u9a8c\u73af\u5883\uff1a\u513f\u7ae5\u3001\u4e92\u52a8\u4f19\u4f34\uff08\u673a\u5668\u4eba \/ \u4eba\u7c7b\uff09\u548c\u8c03\u89e3\u4eba

\u5728\u623f\u95f4\u7684\u53f3\u4fa7\uff0c\u64cd\u4f5c\u5458\u4f7f\u7528\u300cWizard of Oz\u300d\u8303\u5f0f\u63a7\u5236\u673a\u5668\u4eba\u7684\u52a8\u4f5c\u3002\u5728\u6240\u6709\u7684\u4efb\u52a1\u4e2d\uff0c\u90fd\u6709\u8c03\u89e3\u4eba\u4f5c\u4e3a\u7b2c\u4e09\u8005\u53c2\u4e0e\u4ea4\u4e92\uff0c\u4ed6\u7684\u4efb\u52a1\u662f\u5728\u53c2\u4e0e\u4ea4\u4e92\u7684\u4f19\u4f34\uff08\u673a\u5668\u4eba\u6216\u4eba\u7c7b\uff09\u548c\u5b69\u5b50\u4e4b\u95f4\u8fdb\u884c\u534f\u8c03\u4ee5\u53ca\u63d0\u4f9b\u5fc5\u8981\u7684\u63d0\u793a\u3002\u6444\u50cf\u673a\u548c\u4f20\u611f\u5668\u653e\u7f6e\u5728\u5b9e\u9a8c\u5ba4\u673a\u5668\u4eba\u540e\u9762\u7684\u4f4d\u7f6e\uff0c\u4ee5\u6355\u6349\u5b69\u5b50\u4e0e\u673a\u5668\u4eba \/ \u4eba\u7c7b\u4e92\u52a8\u65f6\u7684\u9762\u90e8\u8868\u60c5\u3001\u51dd\u89c6\u548c\u52a8\u4f5c\u3002<\/p>\n

\u300cWizard of Oz\u300d\u673a\u5668\u4eba\u5b9e\u9a8c\uff0c\u610f\u601d\u662f\u53d7\u8bd5\u8005\u4e0e\u88ab\u8ba4\u4e3a\u662f\u81ea\u4e3b\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u8fdb\u884c\u4ea4\u4e92\uff0c\u4f46\u5b9e\u9645\u4e0a\u662f\u7531\u770b\u4e0d\u89c1\u7684\u4eba\u64cd\u4f5c\u6216\u90e8\u5206\u64cd\u4f5c\u3002<\/p>\n

\u672c\u6587\u6309\u7167\u79bb\u6563\u5b9e\u9a8c\u7684\u65b9\u5f0f\u5b8c\u6210\u4efb\u52a1\uff0c\u8fd9\u662f\u81ea\u95ed\u75c7\u65e9\u671f\u5e72\u9884\u8ba1\u5212\u4e2d\u5e38\u7528\u7684\u65b9\u6cd5\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e3b\u8981\u9488\u5bf9\u8bad\u7ec3\u51e0\u79cd\u6280\u80fd\u4ee5\u53ca\u5728\u8fd9\u51e0\u79cd\u6280\u80fd\u7684\u57fa\u7840\u4e0a\u968f\u540e\u6559\u6388\u66f4\u590d\u6742\u7684\u884c\u4e3a\u3002\u8fd9\u79cd\u65b9\u6cd5\u7684\u7279\u70b9\u662f\uff1a\u6559\u5b66\u73af\u5883\u662f\u9ad8\u5ea6\u7ed3\u6784\u5316\u7684\uff0c\u884c\u4e3a\u88ab\u5206\u89e3\u6210\u79bb\u6563\u7684\u5b50\u6280\u80fd\uff0c\u5e76\u4ee5\u591a\u6b21\u3001\u8fde\u7eed\u7684\u5b9e\u9a8c\u65b9\u5f0f\u6765\u5448\u73b0\uff1b\u901a\u8fc7\u660e\u786e\u7684\u63d0\u793a\uff0c\u6559\u5b69\u5b50\u5bf9\u4f19\u4f34\u6240\u53d1\u51fa\u7684\u8fa8\u522b\u6027\u523a\u6fc0\u505a\u51fa\u53cd\u5e94\u3002<\/p>\n

\u6309\u7167\u5355\u4f8b\u5b9e\u9a8c\u8bbe\u8ba1\uff0c\u6bcf\u4e2a\u5b69\u5b50\u90fd\u4f1a\u7ecf\u5386\u4ee5\u4e0b\u7684\u5b9e\u9a8c\u573a\u666f\u3002<\/p>\n

\u57fa\u7ebf\u6d4b\u91cf\uff08BM\uff09\uff0c\u5927\u7ea6 6 \u5230 8 \u6b21\u6d4b\u91cf\uff0c\u76f4\u5230\u8fbe\u5230\u4e00\u4e2a\u7a33\u5b9a\u7684\u57fa\u7ebf\u6c34\u5e73\u3002<\/p>\n

\u673a\u5668\u4eba\u5f3a\u5316\u6cbb\u7597\uff08RET\uff09\uff0c\u7ea6 8 \u4e2a\u7597\u7a0b\u3002<\/p>\n

\u6807\u51c6\u4eba\u6cbb\u7597\uff08SHT\uff09\uff0c\u7ea6 8 \u4e2a\u7597\u7a0b\u3002<\/p>\n

RET \u6216 SHT\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u54ea\u79cd\u6cbb\u7597\u65b9\u6cd5\u5bf9\u5b69\u5b50\u7684\u6548\u679c\u66f4\u597d\uff0c\u5927\u7ea6 4 \u6b21\u6cbb\u7597\u3002<\/p>\n

\u6bcf\u4e2a\u7597\u7a0b\u6301\u7eed\u7ea6 10 \u5206\u949f\uff0c\u6bcf\u5929\u90fd\u4f1a\u91cd\u590d\u8fdb\u884c\u8fd9\u4e9b\u7597\u7a0b\u3002RET \u548c SHT \u4e4b\u95f4\u7684\u987a\u5e8f\u662f\u968f\u673a\u7684\uff0c\u4ee5\u907f\u514d\u5728\u5b9e\u9a8c\u4e2d\u51fa\u73b0\u987a\u5e8f\u6548\u5e94\u3002\u57fa\u7ebf\u7684\u7597\u7a0b\u662f\u5728\u4e0e\u6cbb\u7597\u5e08\u7684\u4e92\u52a8\u4e2d\u8fdb\u884c\u7684\uff0c\u8fd9\u90e8\u5206\u5b9e\u9a8c\u6ee1\u8db3\u4e86\u79bb\u6563\u5b9e\u9a8c\u7684\u8981\u6c42\u3002\u5bf9\u5b69\u5b50\u8fdb\u884c\u6d4b\u8bd5\uff0c\u5728\u6ca1\u6709\u660e\u786e\u7684\u63d0\u793a\u3001\u63d0\u793a\u6d88\u9000\u6216\u540e\u63f4\u7684\u60c5\u51b5\u4e0b\uff0c\u9a8c\u8bc1\u4ed6\u4eec\u662f\u5426\u4f1a\u5bf9\u4f19\u4f34\u53d1\u51fa\u7684\u8fa8\u522b\u6027\u523a\u6fc0\u505a\u51fa\u53cd\u5e94\u3002JA \u4efb\u52a1\u7684\u7ed3\u6784\u5305\u62ec\uff1a\u6307\u793a\uff08instruction\uff09\u3001\u53cd\u5e94\uff08response\uff09\u548c\u7ed3\u679c\uff08consequence\uff09\uff0c\u5177\u4f53\u89c1\u8868 2\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe26\"<\/p>\n <\/div>\u8868 2. JA \u4efb\u52a1\u7ed3\u6784

\u5b9e\u9a8c\u4e2d\u6240\u4ea7\u751f\u7684\u7684\u6240\u6709\u53d8\u91cf\u5747\u4f7f\u7528\u7528\u4e8e\u5bf9\u884c\u4e3a\u52a8\u4f5c\u7f16\u7801\u7684 Elan – \u8bed\u8a00\u6ce8\u91ca\u5668\uff084.5 \u7248\uff09\u8fdb\u884c\u4eba\u5de5\u7f16\u7801 [10]\u3002\u53d8\u91cf\u53ea\u5728\u4efb\u52a1\u8fc7\u7a0b\u4e2d\u8fdb\u884c\u8bc4\u4f30\uff0c\u800c\u4e0d\u9700\u8981\u5728\u4ecb\u7ecd\u6216\u6f14\u793a\u9636\u6bb5\u8fdb\u884c\u8bc4\u4f30\u3002\u5bf9\u4e8e\u513f\u7ae5\u5bf9\u6307\u4ee4\u7684\u53cd\u6620\u60c5\u51b5\uff0c\u4f9d\u7167\u8868 3 \u4e2d\u7ed9\u51fa\u7684\u884c\u4e3a\u7f51\u683c\u8fdb\u884c\u8bc4\u4f30\u3002<\/p>\n

\n

\"\u4e0d\u4e00\u6837\u7684\u201c\u6ce8\u610f\u529b\u201d\uff1a\u4eba\u673a\u4ea4\u4e92\u6ce8\u610f\u529b\u7684\u6d4b\u91cf\u6307\u6807\u4e0e\u5229\u7528\u63d2\u56fe27\"<\/p>\n <\/div>\u8868 3. \u8bc4\u4f30 JA \u8868\u73b0\u7684\u884c\u4e3a\u7f51\u683c

\u672c\u7814\u7a76\u4f7f\u7528\u7684\u662f\u7531 Softbank Robotics \u5f00\u53d1\u7684\u4eba\u5f62\u673a\u5668\u4eba NAO [11]\u3002NAO \u9ad8 58 \u5398\u7c73\uff0c\u91cd\u91cf\u4e3a 5 \u516c\u65a4\uff0c\u8fd0\u52a8\u81ea\u7531\u5ea6\u4e3a 25 \u5ea6\u3002\u5b83\u914d\u5907\u4e86\u4e30\u5bcc\u7684\u4f20\u611f\u5668\u9635\u5217\uff0c2 \u4e2a\u6444\u50cf\u5934\uff0c4 \u4e2a\u9ea6\u514b\u98ce\uff0c\u58f0\u7eb3\u6d4b\u8ddd\u4eea\u30012 \u4e2a\u7ea2\u5916\u53d1\u5c04\u5668\u548c\u63a5\u6536\u5668\u30011 \u4e2a\u60ef\u6027\u677f\u30019 \u4e2a\u6d4b\u8ddd\u4eea\uff0c\u4ee5\u53ca\u89e6\u89c9\u4f20\u611f\u5668\u548c 8 \u4e2a\u538b\u529b\u4f20\u611f\u5668\u3002NAO \u7684\u8bbe\u5907\u8fd8\u5305\u62ec LED \u706f\u3001\u4e24\u4e2a\u626c\u58f0\u5668\u4ee5\u53ca\u5177\u6709\u7279\u5b9a\u8bed\u8a00\u7684\u8bed\u8c03\u548c\u8bed\u901f\u7684\u8bed\u97f3\u5408\u6210\u5668\u3002<\/p>\n

\u4e3a\u4e86\u5206\u6790\u6570\u636e\uff0c\u672c\u6587\u4f7f\u7528\u4e86\u4e00\u4e2a\u7efc\u5408\u975e\u53c2\u6570\u6d4b\u8bd5\uff08Friedman\uff09\u6bd4\u8f83\u4e86\u6bcf\u79cd\u7c7b\u578b\u4f1a\u8bdd\uff08BM\u3001SHT\u3001RET\uff09\u5728\u4e09\u79cd\u63d0\u793a\u6761\u4ef6\uff08\u770b\u3001\u770b + \u6307\u793a\u3001\u770b + \u6307\u793a + \u53e3\u5934\u6307\u4ee4\uff09\u4e0b\u7684\u8868\u73b0\u3002\u4e0e\u7b2c\u4e00\u7bc7\u6587\u7ae0\u7c7b\u4f3c\uff0c\u672c\u6587\u4e5f\u4f7f\u7528 Wilcoxon \u7b26\u53f7\u79e9\u68c0\u9a8c\u8fdb\u884c\u4e24\u4e24\u6bd4\u8f83\uff0c\u4ee5\u786e\u5b9a\u4ea7\u751f\u5177\u6709\u7edf\u8ba1\u5b66\u610f\u4e49\u7684\u6027\u80fd\u5dee\u5f02\u7684\u6761\u4ef6\u3002\u6700\u540e\uff0c\u672c\u6587\u8fd8\u8ba1\u7b97\u4e86\u4e00\u4e2a\u53c2\u6570\u6548\u5e94\u5927\u5c0f\u6307\u6807\uff08Cohens d\uff09\uff0c\u4ee5\u91cf\u5316\u8fd9\u4e9b\u6761\u4ef6\u4e4b\u95f4\u7684\u5dee\u5f02\u3002<\/p>\n

2. \u5b9e\u9a8c\u5206\u6790<\/p>\n

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\n

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\n

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\u53c2\u8003\u6587\u732e<\/p>\n

[1] Stiefelhagen, R Waibel, A, Modeling focus of attention for meeting indexing based on multiple cues\uff0cIEEE TRANSACTIONS ON NEURAL NETWORKS\uff0c2002\uff0chttps:\/\/www.onacademic.com\/detail\/journal_1000011496569999_01e2.html<\/p>\n

[2] M. Hayhoe and D. Ballard, \u201cEye movements in natural behavior,\u201d Trends Cognitive Sci., vol. 9, no. 4, pp. 188\u2013194, 2005.<\/p>\n

[3] F. Tarr\u00b4es, (2013, Mar.). \u201cGTAV face database.\u201d [Online]. Available: http:\/\/gps-tsc.upc.es\/ GTAV\/ ResearchAreas \/UPCFaceDatabase \/GTAVF aceDatabase.htm<\/p>\n

[4] S. S. Beauchemin and J. L. Barron, \u201cThe computation of optical flow,\u201d ACM Comput. Surv., vol. 27, no. 3, pp. 433\u2013467, 1995.<\/p>\n

[5] P. A. Viola and M. J. Jones, \u201cRobust real-time face detection,\u201d Int. J. Comput. Vision, vol. 57, no. 2, pp. 137\u2013154, 2004.<\/p>\n

[6] N. Dalal and B. Triggs, \u201cHistograms of oriented gradients for human detection,\u201d in Proc. IEEE Comput. Soc. Conf. Comput. Vision Pattern Recog., 2005, pp. 886\u2013893.<\/p>\n

[7] Y. Kobayashi and Y. Kuno, \u201cPeople tracking using integrated sensors for human robot interaction,\u201d in Proc. IEEE Int. Conf. Ind. Technol., Ann Arbor, MI, USA, Mar. 14\u201317, 2010, pp. 1597\u20131602.<\/p>\n

[8] P. J. Guo, J. Kim, and R. Rubin. How video production affects student engagement: An empirical<\/p>\n

study of mooc videos. In Proc. of the First ACM Conf. on Learning @ Scale, 2014.<\/p>\n

[9] S. M. Lundberg and S.-I. Lee. A unied approach to interpreting model predictions. In Advances in Neural<\/p>\n

Information Processing Systems. 2017.<\/p>\n

[9] Barlow DH, Hayes SC (1979) Alternating treatments design: one strategy for comparing the effects of two treatments in a single subject. J Appl Behav Anal 12(2):199\u2013210<\/p>\n

[10] Lausberg H, Sloetjes H (2009) Coding gestural behavior with the NEUROGES-ELAN system. Behav Res Methods 41(3):841\u2013849<\/p>\n

[11] Gouaillier D, Hugel V, Blazevic P, Kilner C, Monceaux J, Lafourcade P, Maisonnier B (2009) Mechatronic design of NAO humanoid. In: Robotics and automation, 2009. ICRA\u201909. IEEE international conference on 769\u2013774. IEEE<\/p>\n

[12] Anzalone SM, Boucenna S, Ivaldi S, ChetouaniM(2015) Evaluating the engagement with social robots. Int J Soc Robot 7(4):465\u2013478<\/p>\n

\u5206\u6790\u5e08\u4ecb\u7ecd\uff1a<\/p>\n

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\u5173\u4e8e\u673a\u5668\u4e4b\u5fc3\u5168\u7403\u5206\u6790\u5e08\u7f51\u7edc Synced Global Analyst Network<\/p>\n

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