{"id":42363,"date":"2023-06-08T18:00:26","date_gmt":"2023-06-08T10:00:26","guid":{"rendered":"https:\/\/case.ntu.edu.tw\/blog\/?p=42363"},"modified":"2023-07-04T14:44:09","modified_gmt":"2023-07-04T06:44:09","slug":"ai%e4%ba%ba%e8%b3%87%e8%b6%8a%e4%be%86%e8%b6%8a%e5%bc%b7%ef%bc%9f%e7%94%a8%e8%87%aa%e7%84%b6%e8%aa%9e%e8%a8%80%e8%99%95%e7%90%86%e7%9e%ad%e8%a7%a3%e5%b7%a5%e4%bd%9c%e6%85%8b%e5%ba%a6","status":"publish","type":"post","link":"https:\/\/case.ntu.edu.tw\/blog\/?p=42363","title":{"rendered":"AI\u4eba\u8cc7\u8d8a\u4f86\u8d8a\u5f37\uff1f\u7528\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u77ad\u89e3\u5de5\u4f5c\u614b\u5ea6"},"content":{"rendered":"<p><span style=\"color: #000080;\"><strong>\u5982\u679c\u4f60\u60f3\u8981\u77ad\u89e3\u4e00\u500b\u4eba\uff0c\u4f60\u6703\u600e\u9ebc\u505a\u5462\uff1f\u5176\u5be6\u6700\u7c21\u55ae\u4e5f\u6700\u597d\u7684\u65b9\u5f0f\uff0c\u5c31\u662f\u8ddf\u4ed6\u804a\u804a\u5929\uff0c\u50be\u807d\u4ed6\u6240\u8aaa\u7684\u8a71\u3002\u5728\u7576\u4eca\u9019\u500b\u79d1\u6280\u8d8a\u767c\u6210\u719f\u7684\u6642\u4ee3\uff0c\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u6280\u8853\u53ef\u4ee5\u5e6b\u6211\u5011\u5206\u6790\u3001\u6b78\u7d0d\u5f88\u591a\u4e8b\u60c5\uff0c\u751a\u81f3\u662f\u5e6b\u4eba\u8cc7\u3001\u4e3b\u7ba1\u5224\u65b7\u5e95\u4e0b\u54e1\u5de5\u7684\u5de5\u4f5c\u614b\u5ea6\uff01\u5148\u5225\u6025\u8457\u8b74\u8cacAI\u53ea\u5e6b\u52a9\u8cc7\u65b9\uff01\u5176\u5be6\u5b83\u4e5f\u53ef\u4ee5\u5e6b\u52a9\u6c42\u8077\u8005\u5206\u6790\u76ee\u524d\u5e02\u5834\u6700\u9700\u8981\u7684\u95dc\u9375\u6280\u8853\uff0c\u4e26\u63a8\u85a6\u76f8\u95dc\u7684\u5b78\u7fd2\u8ab2\u7a0b\uff0c\u8b93\u4f60\u80fd\u6210\u70ba\u5927\u5bb6\u6436\u8457\u8981\u7684\u4eba\u624d\uff01\u7e3d\u800c\u8a00\u4e4b\uff0cAI\u8207\u4eba\u529b\u8cc7\u6e90\u9818\u57df\u7684\u8de8\u754c\u5408\u4f5c\uff0c\u5728\u672a\u4f86\u9084\u6709\u5f88\u591a\u5f88\u591a\u503c\u5f97\u671f\u5f85\u7684\u706b\u82b1\u3002<\/strong><\/span><\/p>\n<p><strong>\u64b0\u6587\uff5c\u738b\u51a0\u4e91<\/strong><\/p>\n<figure id=\"attachment_42364\" aria-describedby=\"caption-attachment-42364\" style=\"width: 300px\" class=\"wp-caption alignright\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-42364 size-medium\" src=\"http:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2023\/06\/AI\u4eba\u8cc7\u8d8a\u4f86\u8d8a\u5f37\uff1f-300x200.jpg\" alt=\"\" width=\"300\" height=\"200\" srcset=\"https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2023\/06\/AI\u4eba\u8cc7\u8d8a\u4f86\u8d8a\u5f37\uff1f-300x200.jpg 300w, https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2023\/06\/AI\u4eba\u8cc7\u8d8a\u4f86\u8d8a\u5f37\uff1f-768x512.jpg 768w, https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2023\/06\/AI\u4eba\u8cc7\u8d8a\u4f86\u8d8a\u5f37\uff1f-1024x683.jpg 1024w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><figcaption id=\"caption-attachment-42364\" class=\"wp-caption-text\">\u4f86\u6e90\uff1aMotionElements<\/figcaption><\/figure>\n<p>&nbsp;<\/p>\n<p>\u5de5\u4f5c\u614b\u5ea6\u3001\u5de5\u4f5c\u8868\u73fe\u3001\u5de5\u4f5c\u6eff\u610f\u5ea6\u7b49\u7b49\u5404\u5f0f\u5404\u6a23\u8207\u5de5\u4f5c\u6709\u95dc\u7684\u5404\u500b\u5411\u5ea6\uff0c\u5728\u7d44\u7e54\u5fc3\u7406\u5b78\u3001\u4eba\u529b\u8cc7\u6e90\u9818\u57df\u4e2d\u662f\u7d93\u5e38\u88ab\u7814\u7a76\u7684\u8ab2\u984c\u3002\u4e0d\u8ad6\u662f\u5fc3\u7406\u5b78\u5bb6\u9084\u662f\u5be6\u52d9\u5de5\u4f5c\u8005\uff0c\u90fd\u8a66\u5716\u900f\u904e\u554f\u5377\u7684\u8a2d\u8a08\u4f86\u77ad\u89e3\u54e1\u5de5\u95dc\u65bc\u5de5\u4f5c\u7684\u5404\u500b\u5fc3\u7406\u9762\u5411\u3002\u4e0d\u904e\uff0c\u60f3\u8981\u66f4\u76f4\u89c0\u77ad\u89e3\u4e00\u500b\u4eba\u7684\u65b9\u6cd5\uff0c\u83ab\u904e\u65bc\u77ad\u89e3\u4e00\u500b\u4eba\u6240\u8aaa\u7684\u8a71\uff0c\u5c24\u5176\u7576\u4eca\u81ea\u7136\u8a9e\u8a00\u8655\u7406 (Natural Language Processing, NLP) \u7684\u6280\u8853\u8d8a\u4f86\u8d8a\u767c\u9054\uff0c\u4e5f\u63d0\u4f9b\u4e86\u4e00\u500b\u65b0\u7684\u6e2c\u91cf\u5de5\u5177\u3002<\/p>\n<p>&nbsp;<\/p>\n<h6><strong><span style=\"color: #008000;\">\u793e\u7fa4\u7db2\u7ad9\u3001\u90e8\u843d\u683c\u3001\u5404\u5927\u8ad6\u58c7\u5176\u5be6\u5c31\u662f\u6316\u6398NLP\u8cc7\u6599\u7684\u5bf6\u5eab\uff01<\/span><\/strong><\/h6>\n<p>\u6709\u95dc\u5de5\u5546\u5fc3\u7406\u5b78\u7684\u554f\u5377\u8abf\u67e5\uff0c\u6700\u5e38\u4f7f\u7528\u7684\u554f\u5377\u8a08\u91cf\u65b9\u5f0f\u5c31\u662f\u674e\u514b\u7279 (Likert) \u91cf\u8868\u4e86\uff0c\u901a\u5e38\u4e00\u4efd\u554f\u5377\u542b\u6709\u8a31\u591a\u5206\u5c6c\u65bc\u4e0d\u540c\u9762\u5411\u7684\u984c\u76ee\uff0c\u800c\u586b\u7b54\u8005\u95b1\u8b80\u4e00\u984c\u984c\u7684\u984c\u76ee\u6558\u8ff0\uff0c\u518d\u6839\u64da\u7576\u4e0b\u7684\u76f4\u89ba\u586b\u5beb\u9069\u7576\u7684\u5206\u6578\uff0c\u4f8b\u5982\u300c\u975e\u5e38\u4e0d\u540c\u610f\u300d\u3001\u300c\u975e\u5e38\u540c\u610f\u300d\u7b49\u3002\u4f7f\u7528\u674e\u514b\u7279\u91cf\u8868\u7684\u65b9\u5f0f\uff0c\u586b\u7b54\u8005\u9700\u8981\u9a30\u51fa\u4e00\u6bb5\u6642\u9593\u4f86\u9032\u884c\u554f\u5377\u586b\u7b54\uff0c\u4f46\u6709\u6642\u6709\u4e9b\u4eba\u53ef\u80fd\u6703\u8aa4\u89e3\u984c\u76ee\u7684\u610f\u601d\u3001\u96a8\u610f\u586b\u7b54\u6216\u96b1\u85cf\u771f\u5be6\u8a0a\u606f\u7b49\u7b49\u3002<\/p>\n<p>\u70ba\u4e86\u89e3\u6c7a\u554f\u5377\u91cf\u8868\u7684\u4e0d\u8db3\uff0cSpeer\u7b49\u4eba (2022) \u5c31\u63d0\u51fa\u4e86\u4ee5\u81ea\u7136\u8a9e\u8a00\u8655\u7406 (NLP) \u7684\u65b9\u6cd5\u4f86\u8a08\u7b97\u54e1\u5de5\u7684\u5de5\u4f5c\u614b\u5ea6\u3002\u9664\u4e86\u516c\u53f8\u5167\u90e8\u53ef\u80fd\u672c\u4f86\u5c31\u5b58\u6709\u76f8\u7576\u5927\u91cf\u95dc\u65bc\u54e1\u5de5\u7684\u6587\u5b57\u8cc7\u6599\u4e4b\u5916\uff0c\u5728\u7db2\u8def\u767c\u9054\u7684\u4eca\u65e5\uff0c\u4e0d\u5c11\u4eba\u6703\u5728\u793e\u7fa4\u7db2\u7ad9\u3001\u90e8\u843d\u683c\u4ee5\u53ca\u5404\u5927\u8ad6\u58c7\u300cPo\u6587\u300d\u5beb\u4e0b\u95dc\u65bc\u5de5\u4f5c\u7684\u7a2e\u7a2e\uff0c\u4e0d\u8ad6\u662f\u5c08\u696d\u6027\u7684\u8a0e\u8ad6\u6587\u7ae0\u6216\u662f\u5fc3\u60c5\u6292\u767c\u7684\u5c0f\u54c1\uff0c\u5728\u7db2\u8def\u4e0a\u6709\u8457\u5927\u91cf\u7684\u8a9e\u8a00\u8cc7\u6599\u53ef\u4f9b\u5206\u6790\u3002\u9019\u4e5f\u6210\u4e86\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u5206\u6790\u7684\u91cd\u8981\u8cc7\u6599\u4f86\u6e90\u5bf6\u5eab\uff0c\u800c\u4e14\u4e0d\u9700\u8981\u82b1\u8cbb\u984d\u5916\u7684\u6642\u9593\u4f86\u300c\u88fd\u9020\u300d\u8cc7\u6599\u3002<\/p>\n<p>\u4e0d\u904e\uff0c\u70ba\u4e86\u8b93NLP\u5de5\u5177\u53ef\u4ee5\u66f4\u9069\u5207\u5730\u61c9\u7528\u5728\u5de5\u5546\u9818\u57df\uff0cSpeer\u7b49\u4eba (2022) \u7684\u4e3b\u8981\u7814\u7a76\u76ee\u6a19\uff0c\u662f\u4ee5NLP\u7684\u65b9\u6cd5\u5efa\u9020\u4e00\u500b\u53ef\u4f9b\u7d44\u7e54\u79d1\u5b78\u7814\u7a76\u8005\u61c9\u7528\u7684\u8a9e\u8a00\u300c\u8fad\u5178\u300d\u3002\u4ed6\u5011\u4f7f\u7528\u4e861506\u4f4d\u5c45\u4f4f\u5728\u7f8e\u570b\u7684\u53d7\u96c7\u8005\u7684\u6558\u8ff0\u8cc7\u6599\uff0c\u6253\u9020\u4e86TAPS (Text-Based Attitude and Perception Scoring) \u6f14\u7b97\u6cd5\uff0c\u88fd\u4f5c\u6210\u57fa\u65bc\u6587\u5b57\u4f86\u8a08\u7b97\u5de5\u4f5c\u614b\u5ea6\u548c\u5de5\u4f5c\u611f\u77e5\u7684\u5206\u6578\u7684\u8fad\u5178\u3002\u9019\u500b\u8fad\u5178\u7684\u529f\u80fd\u662f\u53ef\u4ee5\u5c07\u6587\u53e5\u5c0d\u61c9\u5230\u76f8\u95dc\u7684\u4e3b\u984c\uff0c\u4e26\u8a08\u7b97\u5206\u6578\uff0c\u5305\u542b\u5de5\u4f5c\u7684\u81ea\u4e3b\u6027\u3001\u5de5\u4f5c\u6eff\u610f\u5ea6\u3001\u5de5\u4f5c\u58d3\u529b\u3001\u5de5\u4f5c\u91cf\u7b49\u7b49\u3002\u76ee\u524d\u7814\u7a76\u8005\u5df2\u7d93\u5c07\u6a21\u578b\u516c\u958b\u5728\u7db2\u8def\u4e0a\uff0c\u4efb\u4f55\u4eba\u90fd\u53ef\u4ee5\u4e0b\u8f09\u7528\u4f86\u5206\u6790\u76f8\u95dc\u7684\u6587\u5b57\u8cc7\u6599\u3002<\/p>\n<p>&nbsp;<\/p>\n<h6><strong><span style=\"color: #008000;\">\u4f7f\u7528\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u53ef\u4ee5\u505a\u54ea\u4e9b\u76f8\u95dc\u7684\u5206\u6790\u5462\uff1f<\/span><\/strong><\/h6>\n<p>\u9664\u6b64\u4e4b\u5916\uff0c\u6709\u95dc\u5de5\u5546\u7ba1\u7406\u7684\u61c9\u7528\u7814\u7a76\u65b9\u9762\uff0c\u65e9\u5df2\u6709\u8a31\u8a31\u591a\u591a\u7684\u7814\u7a76\u8005\u5229\u7528\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u7684\u6280\u8853\u9032\u884c\u76f8\u95dc\u7684\u5206\u6790\u3002\u4f8b\u5982\uff0cSpeer (2018) \u7684\u7814\u7a76\u4e2d\uff0c\u4f7f\u7528\u4e3b\u7ba1\u5c0d\u65bc\u4e0b\u5c6c\u7684\u6558\u8ff0\u6027\u8a55\u50f9\u4f86\u9032\u884c\u6587\u5b57\u7684\u5206\u6790\uff0c\u4e26\u4e14\u5c0d\u7167\u9019\u4e9b\u54e1\u5de5\u8fd1\u4e94\u5e74\u7684\u5de5\u4f5c\u8868\u73fe\u8cc7\u6599\uff0c\u8b49\u5be6\u4e86\u4f7f\u7528NLP\u6280\u8853\u5206\u6790\u51fa\u4f86\u7684\u7d50\u679c\uff0c\u5c0d\u65bc\u9810\u6e2c\u54e1\u5de5\u7684\u5347\u9077\u3001\u52a0\u85aa\u5e45\u5ea6\u3001\u89e3\u96c7\u8207\u5426\u7b49\u672a\u4f86\u4e8b\u4ef6\u5177\u6709\u9ad8\u5ea6\u7684\u76f8\u95dc\u3002<\/p>\n<p>\u66f4\u7279\u5225\u7684\u662f\uff0cNLP\u6216AI\u6280\u8853\u4e0d\u53ea\u5c0d\u65bc\u4f01\u696d\u7684\u4eba\u8cc7\u90e8\u9580\u6709\u5e6b\u52a9\uff0c\u5c0d\u65bc\u6c42\u8077\u8005\u800c\u8a00\u4e5f\u6709\u76f8\u95dc\u61c9\u7528\u3002\u4f8b\u5982\u5728\u9019\u500b\u8207\u6642\u4ff1\u9032\u7684\u6642\u4ee3\u88e1\uff0c\u4e0d\u5c11\u5c31\u8b80\u8cc7\u8a0a\u5de5\u7a0b\u3001\u96fb\u8166\u79d1\u5b78\u7684\u5b78\u751f\u5011\u5f80\u5f80\u89ba\u5f97\u81ea\u5df1\u6240\u5b78\u8ddf\u4e0d\u4e0a\u6642\u4ee3\u7684\u8173\u6b65\uff0c\u66f4\u9051\u8ad6\u5176\u4ed6\u4e3b\u4fee\u7684\u5b78\u751f\uff0c\u6240\u4ee5Tavakoli et al. (2022) \u7684\u7814\u7a76\u5c31\u5617\u8a66\u88fd\u4f5c\u4e86\u500b\u4eba\u5316\u7684\u300c\u4eba\u529b\u8cc7\u6e90\u5e02\u5834\u7684\u63a8\u85a6\u7cfb\u7d71\u300d\u3002\u5728\u4ed6\u5011\u7684\u5be6\u9a57\u4e2d\uff0c\u4ee5\u300c\u8cc7\u6599\u300d\u79d1\u5b78\u70ba\u4e3b\u984c\uff0c\u5728\u5404\u5927\u6c42\u8077\u7db2\u7ad9\u5927\u91cf\u6536\u96c6\u3001\u641c\u5c0b\u76f8\u95dc\u8cc7\u8a0a\u9032\u884c\u8cc7\u6599\u63a2\u52d8 (data mining)\uff0c\u518d\u9032\u4e00\u6b65\u5f9e\u4e2d\u63d0\u53d6\u5404\u500b\u8077\u7f3a\u63cf\u8ff0\u4e2d\u6240\u63d0\u53ca\u7684\u9700\u6c42\u6280\u80fd\uff0c\u6574\u5408\u51fa\u76ee\u524d\u6574\u9ad4\u5e02\u5834\u4e2d\u6700\u9700\u8981\u7684\u95dc\u9375\u6280\u8853\u3002\u63a5\u8457\uff0c\u70ba\u4e86\u300c\u5ba2\u88fd\u5316\u300d\uff0c\u5728\u4ed6\u5011\u6240\u88fd\u4f5c\u7684\u7cfb\u7d71\u4e2d\uff0c\u6703\u5148\u8acb\u6c42\u8077\u8005\u63d0\u4f9b\u500b\u4eba\u7684\u5b78\u7fd2\u6a94\u6848\u3001\u500b\u4eba\u8cc7\u6599\uff0c\u63a5\u8457\u518d\u63a8\u85a6\u7d66\u8a72\u540d\u5b78\u751f\u6c42\u8077\u8005\u76f8\u95dc\u7684\u7dda\u4e0a\u5b78\u7fd2\u8ab2\u7a0b\uff0c\u8b93\u5b78\u751f\u80fd\u8d95\u5feb\u5728\u9032\u5165\u8077\u5834\u4e4b\u524d\u5145\u96fb\u3002<\/p>\n<p>&nbsp;<\/p>\n<h6><strong><span style=\"color: #008000;\">\u9664\u4e86\u81ea\u7136\u8a9e\u8a00\u8655\u7406\uff0c\u5728\u4eba\u529b\u8cc7\u6e90\u9818\u57df\u88e1\u9084\u6d41\u884c\u4ec0\u9ebcAI\u6280\u8853\uff1f<\/span><\/strong><\/h6>\n<p>\u6839\u64daZhang, Xu, Zhang, and Yang (2021) \u7684\u56de\u9867\u6027\u7814\u7a76\uff0c\u8207\u4eba\u529b\u8cc7\u6e90\u76f8\u95dc\u7684AI\u7814\u7a76\u4e2d\uff0c\u9664\u4e86\u672c\u6587\u4ecb\u7d39\u7684\u6587\u5b57\u76f8\u95dc\u7684\u5206\u6790\u4e4b\u5916\uff0c\u6df1\u5ea6\u5b78\u7fd2\u7684\u591a\u5c64\u611f\u77e5\u6a5f (multi-layer peception) \u56e0\u70ba\u6709\u826f\u597d\u7684\u9810\u6e2c\u529b\uff0c\u6240\u4ee5\u5c0d\u65bc\u4eba\u529b\u8cc7\u6e90\u800c\u8a00\u76f8\u7576\u6709\u5e6b\u52a9\uff1b\u6a5f\u5668\u5b78\u7fd2\u5728\u9032\u884c\u5206\u985e\u4efb\u52d9\u6642\u6240\u4f7f\u7528\u7684\u652f\u63f4\u5411\u91cf\u6a5f (support vector machine)\uff0c\u53ef\u4ee5\u5354\u52a9\u4eba\u529b\u8cc7\u6e90\u9818\u57df\u4e2d\u9700\u8981\u9032\u884c\u5206\u985e\u7684\u63a8\u8ad6\u578b\u4efb\u52d9\uff1b\u7d50\u69cb\u65b9\u7a0b\u6a21\u578b\u6a39 (structural equation modelling (SEM) trees) \u5247\u662f\u7d50\u5408\u4e86\u7d50\u69cb\u65b9\u7a0b\u6a21\u578b (SEM) \u548c\u6c7a\u7b56\u6a39 (decision tree) \u7684\u6982\u5ff5\u4f86\u9032\u884c\u6f14\u7b97\uff0c\u5728\u57f7\u884c\u591a\u8b8a\u9805\u7684\u8ff4\u6b78\u6a21\u578b\u6216\u662f\u9700\u8981\u9577\u671f\u8ffd\u8e64\u7684\u8ff4\u6b78\u5206\u6790\u90fd\u5f88\u6709\u5e6b\u52a9\u3002<\/p>\n<p>\u53e6\u4e00\u65b9\u9762\uff0c\u4eba\u529b\u8cc7\u6e90\u50b3\u7d71\u4e0a\u8457\u91cd\u65bc\u7814\u7a76\u500b\u4eba\u5316\u7684\u5dee\u7570\uff0c\u6216\u662f\u5c08\u6ce8\u65bc\u300c\u5c0f\u6578\u64da (small data)\u300d\u7684\u7814\u7a76\uff0c\u4f7f\u7528\u5927\u6578\u64da (big data) \u5c0d\u65bc\u4eba\u529b\u8cc7\u6e90\u9818\u57df\u800c\u8a00\uff0c\u5c31\u662f\u4e00\u500b\u7814\u7a76\u53d6\u5411\u7684\u7ffb\u8f49\u3002\u5728\u5c0f\u6578\u64da\u7814\u7a76\u4e2d\uff0c\u76f8\u7576\u91cd\u8996\u7406\u8ad6\u3001\u7d50\u69cb\u6027\uff0c\u4e26\u4e14\u5f37\u8abf\u6574\u500b\u7814\u7a76\u7684\u904e\u7a0b\u9700\u8981\u80fd\u88ab\u8907\u88fd\u3001\u6240\u6709\u8cc7\u6599\u90fd\u5fc5\u9808\u8981\u80fd\u6709\u6240\u89e3\u91cb\u7b49\u7b49\u3002\u4e0d\u904e\uff0c\u5927\u6578\u64da\u7814\u7a76\u5247\u63d0\u4f9b\u4e86\u4e00\u500b\u76f8\u5c0d\u8f03\u70ba\u5f48\u6027\u3001\u53ef\u4e0d\u9700\u5148\u6709\u7406\u8ad6\u57fa\u790e\uff0c\u800c\u4e14\u662f\u5728\u6c92\u6709\u7d50\u69cb\u7684\u5927\u91cf\u8cc7\u6599\u4e2d\uff0c\u53bb\u9664\u6389\u96dc\u8a0a\u4e4b\u5f8c\u9032\u884c\u5206\u6790\u7684\u7d50\u679c\u3002<\/p>\n<p>\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u5f9eZhang (2021) \u7b49\u4eba\u7684\u56de\u9867\u6027\u7814\u7a76\u4f86\u770b\uff0c\u76ee\u524d\u70ba\u6b62\u4eba\u529b\u8cc7\u6e90\u548cAI\u76f8\u95dc\u7684\u7814\u7a76\u51fa\u7248\u9084\u6c92\u6709\u975e\u5e38\u591a\uff0c\u4e14\u7814\u7a76\u71b1\u9ede\u96c6\u4e2d\u65bc\u7f8e\u570b\uff1b\u5728\u5fc3\u7406\u5b78\u9818\u57df\u548c\u96fb\u8166\u79d1\u5b78\u9818\u57df\u7684\u51fa\u7248\u4e5f\u5c11\u65bc\u7ba1\u7406\u5b78\u548c\u7d93\u6fdf\u5b78\u3002\u5230\u5e95AI\u80fd\u4e0d\u80fd\u6210\u70ba\u4f60\u7684\u4eba\u8cc7\u4e3b\u7ba1\u6216\u662f\u9762\u8a66\u5b98\u5462\uff1f\u9019\u500b\u8ab2\u984c\u9084\u6709\u5f88\u591a\u6f5b\u529b\u6709\u5f85\u767c\u63ee\uff0c\u4ee5\u6fc0\u76ea\u51fa\u66f4\u591a\u8de8\u9818\u57df\u7684\u706b\u82b1\u3002<\/p>\n<p>&nbsp;<\/p>\n<hr>\n<p><strong>\u53c3\u8003\u6587\u737b<\/strong><\/p>\n<ol>\n<li><a href=\"https:\/\/osf.io\/9dx6n\/?view_only=1d64b8126df54a1ba17d9f7306d7dd5e\">TAPS IO Construct Dictionaries<\/a><\/li>\n<li>Speer, A. B. (2018). Quantifying with words: An investigation of the validity of narrative-derived performance scores.<em> 71<\/em>(3), 299-333. doi:https:\/\/doi.org\/10.1111\/peps.12263<\/li>\n<li>Speer, A. B., Perrotta, J., Tenbrink, A. P., Wegmeyer, L. J., Delacruz, A. Y., &amp; Bowker, J. (2022). Turning words into numbers: Assessing work attitudes using natural language processing. <em>Journal of Applied Psychology<\/em>, No Pagination Specified-No Pagination Specified. doi:10.1037\/apl0001061<\/li>\n<li>Tavakoli, M., Faraji, A., Vrolijk, J., Molavi, M., Mol, S. T., &amp; Kismih\u00f3k, G. (2022). An AI-based open recommender system for personalized labor market driven education. <em>Advanced Engineering Informatics, 52<\/em>, 101508. doi:https:\/\/doi.org\/10.1016\/j.aei.2021.101508<\/li>\n<li>Zhang, Y., Xu, S., Zhang, L., &amp; Yang, M. (2021). Big data and human resource management research: An integrative review and new directions for future research. <em>Journal of Business Research, 133<\/em>, 34-50. doi:https:\/\/doi.org\/10.1016\/j.jbusres.2021.04.019<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>\u5982\u679c\u4f60\u60f3\u8981\u77ad\u89e3\u4e00\u500b\u4eba\uff0c\u4f60\u6703\u600e\u9ebc\u505a\u5462\uff1f\u5176\u5be6\u6700\u7c21\u55ae\u4e5f\u6700\u597d\u7684\u65b9\u5f0f\uff0c\u5c31\u662f\u8ddf\u4ed6\u804a\u804a\u5929\uff0c\u50be\u807d\u4ed6\u6240\u8aaa\u7684\u8a71\u3002\u5728\u7576\u4eca\u9019\u500b\u79d1\u6280\u8d8a\u767c\u6210\u719f\u7684\u6642\u4ee3\uff0c\u81ea\u7136\u8a9e\u8a00\u8655\u7406\u6280\u8853\u53ef\u4ee5\u5e6b\u6211\u5011\u5206\u6790\u3001\u6b78\u7d0d\u5f88\u591a\u4e8b\u60c5\uff0c\u751a\u81f3\u662f\u5e6b\u4eba\u8cc7\u3001\u4e3b\u7ba1\u5224\u65b7\u5e95\u4e0b\u54e1\u5de5\u7684\u5de5\u4f5c\u614b\u5ea6\uff01\u5148\u5225\u6025\u8457\u8b74\u8cacAI\u53ea\u5e6b\u52a9\u8cc7\u65b9\uff01\u5176\u5be6\u5b83\u4e5f\u53ef\u4ee5\u5e6b\u52a9\u6c42\u8077\u8005\u5206\u6790\u76ee\u524d\u5e02\u5834\u6700\u9700\u8981\u7684\u95dc\u9375\u6280\u8853\uff0c\u4e26\u63a8\u85a6\u76f8\u95dc\u7684\u5b78\u7fd2\u8ab2\u7a0b\uff0c\u8b93\u4f60\u80fd\u6210\u70ba\u5927\u5bb6\u6436\u8457\u8981\u7684\u4eba\u624d\uff01\u7e3d\u800c\u8a00\u4e4b\uff0cAI\u8207\u4eba\u529b\u8cc7\u6e90\u9818\u57df\u7684\u8de8\u754c\u5408\u4f5c\uff0c\u5728\u672a\u4f86\u9084\u6709\u5f88\u591a\u5f88\u591a\u503c\u5f97\u671f\u5f85\u7684\u706b\u82b1\u3002<\/p>\n","protected":false},"author":20,"featured_media":42364,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3772,5128,5122,3293,5032],"tags":[6708,3006,6709,4888,5989],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/case.ntu.edu.tw\/blog\/wp-content\/uploads\/2023\/06\/AI\u4eba\u8cc7\u8d8a\u4f86\u8d8a\u5f37\uff1f.jpg","_links":{"self":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/42363"}],"collection":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=42363"}],"version-history":[{"count":7,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/42363\/revisions"}],"predecessor-version":[{"id":42598,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/posts\/42363\/revisions\/42598"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=\/wp\/v2\/media\/42364"}],"wp:attachment":[{"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=42363"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=42363"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/case.ntu.edu.tw\/blog\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=42363"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}