{"id":1935,"date":"2013-10-30T12:03:40","date_gmt":"2013-10-30T03:03:40","guid":{"rendered":"http:\/\/www.is.doshisha.ac.jp\/news\/?p=1935"},"modified":"2013-10-30T12:03:40","modified_gmt":"2013-10-30T03:03:40","slug":"%e3%80%90%e9%80%9f%e5%a0%b1%e3%80%91bhi-2014","status":"publish","type":"post","link":"https:\/\/is.doshisha.ac.jp\/news\/?p=1935","title":{"rendered":"\u3010\u901f\u5831\u3011BHI 2014"},"content":{"rendered":"<p>\u524d\u6a4b\u30fb\u7fa4\u99ac\u3067\u958b\u50ac\u3055\u308c\u305f<a href=\"http:\/\/wi-consortium.org\/conferences\/amtbi13\/bhi\/index.php\">BHI 2013<\/a>\u306b\u3066\u767a\u8868\u3057\u307e\u3057\u305f\u3002<\/p>\n<ul>\n<li>\u5c0f\u6df5\u5c06\u543e (B4) \u00a0Analysis of Brain Areas Activated While Using Strategies to Improve the Working Memory Capacity<\/li>\n<\/ul>\n<p><!--more--><\/p>\n<div>\n<p align=\"center\"><b>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/b><b><\/b><\/p>\n<\/div>\n<div align=\"center\">\n<table border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u00a0<\/b><b>\u5831\u544a\u8005\u6c0f\u540d<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">\u5c0f\u6df5\u5c06\u543e<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">\u65b9\u7565\u9078\u629e\u306b\u3088\u308b\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u5bb9\u91cf\u5411\u4e0a\u306e\u305f\u3081\u306e\u8133\u306e\u8ce6\u6d3b\u90e8\u4f4d\u306e\u691c\u8a0e<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">Analysis of Brain Areas Activated While Using Strategies to Improve the Working Memory Capacity<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u8457\u8005<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">\u5ee3\u5b89\u77e5\u4e4b, \u5c0f\u6df5\u5c06\u543e, \u7530\u4e2d\u7f8e\u91cc, \u5c71\u672c\u8a69\u5b50<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u4e3b\u50ac<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\"><\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u8b1b\u6f14\u4f1a\u540d<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">Brain and Health Informatics 2013<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u4f1a\u5834<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">\u524d\u6a4b\u30c6\u30eb\u30b5<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u958b\u50ac\u65e5\u7a0b<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">2013\/10\/29-2013\/10\/31<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div>\n&nbsp;\n<\/div>\n<p>&nbsp;<br \/>\n1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<br \/>\n2013\/10\/29\u304b\u30892013\/10\/31\u306b\u304b\u3051\u3066\uff0c\u7fa4\u99ac\u770c\u524d\u6a4b\u5e02\u524d\u6a4b\u30c6\u30eb\u30b5\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305fBrain and Health Informatics 2013 (BHI 2013) \u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u3053\u306eBHI 2013\u306f\uff0c\u8133\u306e\u30c7\u30fc\u30bf\u306b\u5bfe\u3059\u308b\u65b0\u3057\u3044intelligent computing\u306e\u5f62\u5f0f\u5316\uff0c\u6280\u8853\u305d\u3057\u3066\u5065\u5eb7\u306b\u95a2\u3059\u308b\u30b5\u30fc\u30d3\u30b9\u3084\u5b66\u554f\u306e\u767a\u5c55\u3068\u666e\u53ca\u3092\u76ee\u7684\u306b\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\uff0e<br \/>\n\u79c1\u306f29\u65e5\u304b\u308931\u65e5\u306b\u304b\u3051\u3066\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u5c71\u672c\u5148\u751f\uff0c\u798f\u5cf6\u3055\u3093\uff0cBlandine\uff0c\u5927\u6751\u3055\u3093\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n2. \u7814\u7a76\u767a\u8868<br \/>\n2.1. \u767a\u8868\u6982\u8981<br \/>\n\u79c1\u306f30\u65e5\u306e\u5348\u524d\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300cThinking and Perception-Centric Investigations of Human Information Processing System \u2161\u300d\u306b\u53c2\u52a0\u3044\u305f\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u53e3\u982d\u767a\u8868\u3067\uff0c15\u5206\u306e\u767a\u8868\u6642\u9593\u30685\u5206\u306e\u8cea\u7591\u5fdc\u7b54\u6642\u9593\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e<br \/>\n\u4eca\u56de\u306e\u767a\u8868\u306fAnalysis of Brain Areas Activated While Using Strategies to Improve the Working Memory\u3067\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u7814\u7a76\u76ee\u7684\u306f\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u5bb9\u91cf\u5411\u4e0a\u306e\u305f\u3081\u306e\u52b9\u7387\u306e\u826f\u3044\u65b9\u6cd5\u3092\u63a2\u308b\u3053\u3068\uff0e\u305d\u306e\u305f\u3081\u672c\u5b9f\u9a13\u3067\u306fRST\u306e\u65b9\u7565\u3068\u8133\u6d3b\u52d5\u30d1\u30bf\u30fc\u30f3\u306e\u95a2\u4fc2\u306e\u691c\u8a0e\u3092\u884c\u3063\u305f\uff0e\u624b\u6cd5\u306ffMRI\u3092\u7528\u3044\u3066RST\u6642\u3068Read\u6642\u306e\u8133\u6d3b\u52d5\u3092\u8a08\u6e2c\u3057\uff0c\u305d\u308c\u3089\u306e\u6bd4\u8f03\u3092\u3057\u305f\uff0e\u7d50\uff0c\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u5bb9\u91cf\u306e\u5927\u304d\u3044\u88ab\u9a13\u8005\u306f\u5fc5\u305a\u65b9\u7565\u3092\u7528\u3044\u3066\u304a\u308a\uff0cDLPFC\u304c\u3088\u308a\u8ce6\u6d3b\u3057\u305f\uff0e\u307e\u305f\u30a4\u30e1\u30fc\u30b8\u65b9\u7565\u3067\u306fprecuneus\uff0c\u30c1\u30a7\u30a4\u30cb\u30f3\u30b0\u65b9\u7565\u3067\u306fleft IFG\u304c\u8ce6\u6d3b\u3057\uff0c\u3053\u308c\u3089\u306e\u90e8\u4f4d\u304c\u65b9\u7565\u7279\u6709\u306e\u6a5f\u80fd\u3092\u6709\u3057\u3066\u3044\u308b\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u793a\u5506\u3055\u308c\u305f\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<br \/>\n2.2. \u8cea\u7591\u5fdc\u7b54<br \/>\n\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n<b>\u30fb\u8cea\u554f\u5185\u5bb9<\/b><b>1<\/b><br \/>\n\u5343\u8449\u52b4\u707d\u75c5\u9662\u3000\u30ea\u30cf\u30d3\u30ea\u30c6\u30fc\u30b7\u30e7\u30f3\u79d1\u6240\u5c5e\u306e\u5b89\u7530\u5148\u751f\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u9ad8\u9f62\u8005\u3068\u82e5\u5e74\u8005\u3067\u306f\u65b9\u7565\u306e\u5dee\u304c\u3067\u308b\u306e\u3067\u306f\u306a\u3044\u304b\uff0c\u307e\u305f\u6bd4\u8f03\u3092\u884c\u3063\u3066\u307f\u3066\u306f\u3069\u3046\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u79c1\u306e\u56de\u7b54\u306f\u9ad8\u9f62\u8005\u3068\u82e5\u5e74\u8005\u3060\u3051\u3067\u306f\u306a\u304f\uff0c\u500b\u3005\u4eba\u3067\u65b9\u7565\u306e\u5f97\u624b\u4e0d\u5f97\u624b\u304c\u3042\u308b\uff0e\u4eca\u306e\u3068\u3053\u308d\u6bd4\u8f03\u306f\u8003\u3048\u3066\u306f\u306a\u3044\u304c\uff0c\u8208\u5473\u6df1\u3044\u3067\u3059\uff0c\u3068\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u5f8c\u307b\u3069\u304a\u8a71\u3057\u3059\u308b\u6a5f\u4f1a\u304c\u3042\u308a\uff0cRST\u306e\u3088\u3046\u306a\u4e00\u6587\u4e00\u6587\u3067\u306f\u306a\u304f\uff0c\u3082\u3063\u3068\u73fe\u5b9f\u306b\u5373\u3057\u305f\u9577\u3044\u6587\u7ae0\u4e2d\u306e\u5358\u8a9e\u306e\u4fdd\u6301\u306e\u65b9\u304c\u304a\u3082\u3057\u308d\u3044\u306e\u3067\u306f\u306a\u3044\u304b\uff0c\u307e\u305f\uff0c\u9ad8\u9f62\u8005\u306e\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u5411\u4e0a\u65b9\u6cd5\u3092\u3082\u3063\u3068\u9811\u5f35\u3063\u3066\u307b\u3057\u3044\u3068\u3044\u3046\u30b3\u30e1\u30f3\u30c8\u3092\u9802\u304d\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n<b>\u30fb\u8cea\u554f\u5185\u5bb9<\/b><b>2<\/b><br \/>\nCalifornia Institute of Technology\u6240\u5c5e\u306e\u4e0b\u689d\u5148\u751f\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u4e2d\u592e\u5b9f\u884c\u7cfb\u3067\u3042\u308bDLPFC\u306e\u6d3b\u6027\u306b\u3088\u308a\u65b9\u7565\u3092\u7528\u3044\u3066\uff0c\u6210\u7e3e\u304c\u826f\u304f\u306a\u308b\u3068\u8a00\u3063\u3066\u3044\u308b\u304c\uff0cDLPFC\u306f\u52b9\u7387\u826f\u3044\u65b9\u7565\u3092\u4f7f\u3063\u3066\u3044\u308b\u304b\u3089\u3067\u306f\u306a\u304f\uff0c\u5358\u306b\u9811\u5f35\u3063\u3066\u3044\u308b\u304b\u3089\u6d3b\u6027\u3057\u3066\u3044\u308b\u306e\u3067\u306f\u306a\u3044\u304b\uff0e\u3057\u305f\u304c\u3063\u3066\uff0c\u9593\u9055\u3063\u305f\u65b9\u7565\u3092\u3042\u305f\u3048\u3066\uff0c\u9811\u5f35\u3063\u3066\u8ab2\u984c\u3092\u3053\u306a\u3057\u305f\u969b\u306eDLPFC\u306e\u6d3b\u52d5\u3092\u78ba\u304b\u3081\u308b\u5fc5\u8981\u304c\u3042\u308b\u306e\u3067\u306f\u306a\u3044\u304b\uff0c\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u79c1\u306e\u56de\u7b54\u306f\uff0c\u4eca\u56de\u306e\u5b9f\u9a13\u3067\u306f\u3053\u306e\u3088\u3046\u306a\u7d50\u679c\u304c\u5f97\u3089\u308c\u305f\u304c\uff0c\u88ab\u9a13\u8005\u306e\u4eba\u6570\u3082\u9650\u3089\u308c\u3066\u3044\u305f\u3053\u3068\u3082\u3042\u308a\uff0c\u305d\u306e\u53ef\u80fd\u6027\u306f\u3042\u308b\u3068\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u5f8c\u307b\u3069\u5fa1\u793c\u3068\u3068\u3082\u306b\u304a\u8a71\u3057\u3057\u305f\u3068\u3053\u308d\uff0c\u307e\u305a\u305d\u306e\u78ba\u8a8d\u306e\u5f8c\u306b\uff0c\u3082\u3057\u9811\u5f35\u3063\u3066\u3044\u308b\u305f\u3081\u306bDLPFC\u306e\u6d3b\u6027\u304c\u3042\u308b\u306e\u3067\u3042\u308c\u3070\uff0c\u30b3\u30cd\u30af\u30c6\u30a3\u30d3\u30c6\u30a3\u3084\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u3092\u89b3\u5bdf\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\u3068\u3044\u3046\u30b3\u30e1\u30f3\u30c8\u3082\u9802\u304d\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n<b>\u30fb\u8cea\u554f\u5185\u5bb9<\/b><b>3<\/b><br \/>\n\u524d\u6a4b\u5de5\u79d1\u5927\u5b66\u6240\u5c5e\u306e\u7b20\u677e\u5148\u751f\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u305d\u308c\u305e\u308c\u597d\u304d\u306a\u65b9\u7565\u304c\u3042\u308b\u304c\uff0c\u3069\u306e\u3088\u3046\u306b\u5747\u7b49\u306b\u5206\u3051\u3066\u3044\u308b\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u79c1\u306e\u56de\u7b54\u306f\uff0c\u307e\u305a30\u4eba\u7a0b\u5ea6\u306b\u4e88\u5099\u5b9f\u9a13\u3092\u884c\u3044\uff0c\u88ab\u9a13\u8005\u306e\u65b9\u7565\u306e\u78ba\u8a8d\u3092\u884c\u3063\u305f\u306e\u3061\u306b\uff0c\u305d\u306e\u4e2d\u304b\u30894\u4eba\u305a\u3064\u3092\u9078\u51fa\u3057\u305f\u305f\u3081\uff0c\u88ab\u9a13\u8005\u306e\u30d9\u30b9\u30c8\u304c\u51fa\u305b\u3066\u3044\u308b\u3068\u56de\u7b54\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n<b>\u30fb\u8cea\u554f\u5185\u5bb9<\/b><b>4<\/b><br \/>\n\u540d\u524d\u3092\u63a7\u3048\u308b\u306e\u3092\u5fd8\u308c\u3066\u3057\u307e\u3044\u307e\u3057\u305f\u304c\uff0c\u767d\u4eba\u306e\u65b9\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u826f\u3044\u65b9\u7565\u3092\u4f7f\u3046\u304b\u3089\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u5bb9\u91cf\u304c\u5927\u304d\u3044\u306e\u304b\uff0c\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u5bb9\u91cf\u304c\u5927\u304d\u304b\u3089\uff0c\u826f\u3044\u65b9\u7565\u3092\u4f7f\u3063\u3066\u3044\u308b\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u79c1\u306e\u56de\u7b54\u306f\uff0c\u4eca\u56de\u306e\u5b9f\u9a13\u3067\u306f\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u5bb9\u91cf\u306e\u5927\u304d\u3044\u4eba\u306f\u5fc5\u305a\u65b9\u7565\u3092\u7528\u3044\u3066\u3044\u308b\u305f\u3081\uff0c\u65b9\u7565\u3092\u7528\u3044\u3066\u3044\u308b\u304b\u3089\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u5bb9\u91cf\u304c\u5927\u304d\u3044\uff0e\u3057\u304b\u3057\uff0c\u305d\u306e\u53cd\u5bfe\u306e\u8ad6\u7406\u3082\u8003\u3048\u3089\u308c\u308b\u3068\u56de\u7b54\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\u5f8c\u307b\u3069\u304a\u8a71\u3057\u3059\u308b\u6a5f\u4f1a\u304c\u3042\u3063\u305f\u305f\u3081\uff0c\u82f1\u8a9e\u3067\u56de\u7b54\u3067\u304d\u3066\u3044\u305f\u304b\u3092\u78ba\u8a8d\u3057\uff0c\u5fa1\u793c\u3092\u3057\u305f\u3068\u3053\u308d\uff0c\u306a\u305c\u8a13\u7df4\u306f2\u4eba\u3060\u3051\u306b\u884c\u3063\u305f\u306e\u304b\u3068\u3044\u3046\u8cea\u554f\u3082\u9802\u304d\u307e\u3057\u305f\uff0e\u3053\u308c\u306b\u5bfe\u3057\u3066\u306f\uff0c\u6b63\u76f4\u306b\u88ab\u9a13\u8005\u3068\u306e\u95a2\u4fc2\uff0c\u307e\u305f\u6642\u9593\u304c\u306a\u304b\u3063\u305f\u3053\u3068\u3092\u56de\u7b54\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n&nbsp;<br \/>\n2.3. \u611f\u60f3<br \/>\n\u4eca\u56de\u306e\u767a\u8868\u3067\u306f\u671d\u4e00\u756a\u306b\u3082\u95a2\u308f\u3089\u305a\u591a\u304f\u306e\u4eba\u306b\u8074\u3044\u3066\u9802\u304d\uff0c\u3068\u3066\u3082\u5b09\u3057\u304f\u611f\u3058\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u6642\u9593\u3082\u4e01\u5ea6\u3088\u304f\u7d42\u308f\u308a\uff0c\u8cea\u554f\u3084\u30b3\u30e1\u30f3\u30c8\u3082\u305f\u304f\u3055\u3093\u9802\u304d\u3068\u3066\u3082\u5145\u5b9f\u3057\u305f\u3082\u306e\u306b\u306a\u308a\u307e\u3057\u305f\uff0e\u4e00\u65b9\u3067\uff0c\u8cea\u554f\u306b\u5bfe\u3059\u308b\u82f1\u8a9e\u3067\u306e\u56de\u7b54\u3084\u8208\u5473\u3092\u3082\u3063\u3066\u8074\u3044\u3066\u3082\u3089\u3048\u308b\u3088\u3046\u306a\u767a\u8868\u306e\u4ed5\u65b9\u3092\u3059\u308b\u6280\u8853\u4e0d\u8db3\u3092\u75db\u611f\u3057\u307e\u3057\u305f\uff0e\u305d\u3057\u3066\u5b9f\u9a13\u7d50\u679c\u306b\u5bfe\u3059\u308b\u8003\u5bdf\u529b\u4e0d\u8db3\u3092\u611f\u3058\u307e\u3057\u305f\uff0e\u3057\u305f\u304c\u3063\u3066\u767a\u8868\u3059\u308b\u3053\u3068\u306b\u5bfe\u3059\u308b\u59ff\u52e2\u3092\u898b\u3064\u3081\u76f4\u3057\u3066\uff0c\u3088\u308a\u308f\u304b\u308a\u3084\u3059\u304f\u697d\u3057\u304f\u304a\u3082\u3063\u3066\u3082\u3089\u3048\u308b\u3088\u3046\u306a\u767a\u8868\u306e\u6280\u8853\u3092\u8eab\u306b\u3064\u3051\u308b\u3053\u3068\uff0c\u305d\u3057\u3066\u82f1\u8a9e\u529b\u306e\u5411\u4e0a\u3092\u76ee\u6307\u3057\u305f\u3044\u3068\u601d\u3044\u307e\u3059\uff0e<br \/>\n&nbsp;<br \/>\n3. \u8074\u8b1b<br \/>\n\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e3\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Role of the Prefrontal Cortex (PFC) on Processing the Social Statistical Information: An fMRI Study\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Mi Li, Haiping Wei, Yu Zhou, Pengfei Liu, Xingyu Su, Shengfu Lu, and Ning Zhong\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Thinking and Perception-Centric Investigations of Human Information Processing System \u2160Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a \u76ee\u7684\u306f\u30d2\u30c8\u306e\u8a18\u61b6\u306e\u8a18\u9298\u3068\u60f3\u8d77\u306b\u304a\u3051\u308bPFC\u306e\u5f79\u5272\u306e\u89e3\u660e\u3067\u3042\u308b\uff0e\u305d\u306e\u305f\u3081\u306bfMRI\u3092\u7528\u3044\u3066\uff0c\u5165\u529b\u60c5\u5831\u3092\u30c6\u30ad\u30b9\u30c8\uff0c\u56f3\uff0c\u305d\u308c\u3089\u4e21\u65b9\u306e3\u3064\u306e\u65b9\u6cd5\u3067\u60c5\u5831\u3092\u5165\u529b\u3057\uff0c\u8a18\u9298\u3057\u305f\u969b\u306e\u8133\u6d3b\u52d5\u3068\u305d\u306e\u60c5\u5831\u306b\u5bfe\u3059\u308b\u8cea\u554f\u306e\u56de\u7b54\u3092\u3059\u308b\uff0c\u60f3\u8d77\u306e\u969b\u306e\u8133\u6d3b\u52d5\u3092\u8a08\u6e2c\u3057\u305f\uff0e\u7d50\u679c\uff0c\u5165\u529b\u60c5\u5831\u304c\u7570\u306a\u3063\u3066\u3044\u3066\u3082\uff0c\u8a18\u9298\uff1e\u60f3\u8d77\u306e\u6761\u4ef6\u3067medial PFC\u304c\uff0c\u60f3\u8d77\uff1e\u8a18\u9298\u306e\u6761\u4ef6\u3067\u306flateral PFC\u304c\u305d\u308c\u305e\u308c\u8ce6\u6d3b\u3057\u305f\uff0e\u3057\u305f\u304c\u3063\u3066\u8a18\u61b6\u306b\u304a\u3051\u308b\u524d\u982d\u8449\u306e\u5f79\u5272\u306fmedial\u3068lateral\u3067\u305d\u308c\u305e\u308c\u6a5f\u80fd\u304c\u7570\u306a\u308b\u3053\u3068\u304c\u793a\u5506\u3055\u308c\u305f\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8a18\u61b6\u3059\u308b\u3079\u304d\u60c5\u5831\u306e\u5448\u793a\u65b9\u6cd5\u304c\u30c6\u30ad\u30b9\u30c8\u3068\u56f3\u3068\u305d\u306e\u4e21\u65b9\u3068\u308f\u3051\u3066\u3044\u308b\u3068\u3053\u308d\u304c\u304a\u3082\u3057\u308d\u3044\u3068\u611f\u3058\u305f\uff0e\u8a18\u9298\u306b\u969b\u306b\u306f\u5165\u529b\u60c5\u5831\u306b\u3088\u3063\u3066\u7570\u306a\u308b\u3053\u3068\u304c\u8003\u3048\u3089\u308c\u308b\u306e\u3067\uff0c\u30a4\u30f3\u30d7\u30c3\u30c8\u306e\u7a2e\u985e\u3092\u5909\u3048\u308b\u3053\u3068\u306f\u91cd\u8981\u3060\u3068\u601d\u3046\uff0e\u7d50\u679c\u304b\u3089\uff0cRST\u306e\u5358\u8a9e\u4fdd\u6301\u306b\u3082\u3053\u306e\u90e8\u5206\u304c\u50cd\u3044\u3066\u3044\u308b\u306e\u304b\u3068\u3044\u3046\u8003\u5bdf\u3092\u3057\u3066\u3044\u304f\u3053\u3068\u306f\u306f\u6709\u76ca\u3060\u3068\u8003\u3048\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aCombining Two Visual Cognition System Using Confidence Radius and Combinatorial Fusion\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Amy Batallones, Kiby Sanchez, Brian Mott, Cameron McMunn-Coffran, and D. Frank Hsu\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Thinking and Perception-Centric Investigations of Human Information Processing System \u2161Abstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a \u76ee\u7684\u306f2\u5730\u70b9\u304b\u3089\u884c\u3063\u305f\u7269\u4f53\u306e\u8996\u899a\u8a8d\u8b58\u306b\u304a\u3051\u308b\u7279\u5fb4\u91cf\u306e\u7b97\u51fa\u3068\u305d\u308c\u3089\u306e\u8a55\u4fa1\u3067\u3042\u308b\uff0e\u624b\u6cd5\u306f\u88ab\u9a13\u8005\u306b\u4e8c\u3064\u306e\u4f4d\u7f6e\u304b\u3089\u7269\u4f53\u304c\u3069\u306e\u4f4d\u7f6e\u306b\u3042\u308b\u306e\u304b\u63a8\u6e2c\u3057\u3066\u3082\u3089\u3044\uff0c\u63a8\u6e2c\u3057\u305f\u4f4d\u7f6e\u3092\u4e2d\u5fc3\u306b\u5186\u3092\u3064\u304f\u308a\uff0c\u305d\u306e\u78ba\u4fe1\u306e\u5ea6\u5408\u3044\u3092\u805e\u304f\u4e8b\u306b\u3088\u308a\uff0c\u534a\u5f84\u306e\u5927\u304d\u3055\u3092\u6c7a\u3081\u3066\uff0c\u305d\u308c\u3092\u7279\u5fb4\u91cf\u3068\u3057\u305f\uff0e\u305d\u3057\u3066\u305d\u308c\u3089\u306e\u7279\u5fb4\u91cf\u304b\u3089\u65b0\u305f\u306a\u7279\u5fb4\u91cf\u30922\u3064\u3064\u304f\u308a\uff0c4\u3064\u306e\u7279\u5fb4\u91cf\u304c\u3069\u306e\u3088\u3046\u306b\u50cd\u304f\u306e\u304b\u3092\u691c\u8a0e\u3057\u305f\uff0e\u7d50\u679c\uff0c2\u5730\u70b9\u304b\u3089\u306e\u8a55\u4fa1\u306f\u305d\u306e\u78ba\u4fe1\u5ea6\u5408\u3044\u306b\u3088\u308a\u7279\u5fb4\u91cf\u3092\u4f7f\u3044\u5206\u3051\u308b\u5fc5\u8981\u304c\u3042\u308b\u3068\u306e\u3053\u3068\u3067\u3057\u305f\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u308c\u306f\u4eba\u306e\u66d6\u6627\u306a\u6982\u5ff5\u3092\u6570\u5024\u5316\u3059\u308b\u65b9\u6cd5\u304c\u3068\u3066\u3082\u8208\u5473\u6df1\u304b\u3063\u305f\u306e\u3068\uff0c\u65b0\u305f\u306a\u7279\u5fb4\u91cf\u3068\u3057\u3066\u7b97\u51fa\u3059\u308b\u3053\u3068\u3067\uff0c\u8a55\u4fa1\u3092\u3059\u308b\u3068\u3044\u3046\u306e\u304c\u304a\u3082\u3057\u308d\u304b\u3063\u305f\uff0e\u30a2\u30f3\u30b1\u30fc\u30c8\u3067\u5f97\u3089\u308c\u305f\u30c7\u30fc\u30bf\u3092\u6570\u5024\u5316\u3059\u308b\u8003\u3048\u65b9\u306a\u3069\u3092\u53d6\u308a\u5165\u308c\u3089\u308c\u305f\u3089\uff0c\u5b9f\u9a13\u306e\u8cea\u304c\u3042\u304c\u308b\u3088\u3046\u306b\u611f\u3058\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aThe Neural Structure of Human Concepts: Applying Machine Learning and Factor Analysis to Brain Imaging Data\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aMarcel A. Just\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a BHI Keynote LectureAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a \u3053\u306e\u767a\u8868\u306fKeynote Speaker\u306b\u3088\u308b\uff0c\u3053\u308c\u307e\u3067\u306e3\u3064\u306e\u5b9f\u9a13\u5185\u5bb9\u3068\u5c55\u671b\u3067\u3057\u305f\uff0e1\u3064\u3081\u306f\u5177\u4f53\u7684\u306a\u5358\u8a9e\u306b\u5bfe\u3059\u308b\u30d2\u30c8\u306e\u8a8d\u8b58\u306e\u89e3\u6790\u304b\u3089\u6a5f\u68b0\u5b66\u7fd2\u3092\u7528\u3044\u3066\uff0c\u305d\u306e\u5358\u8a9e\u306b\u3064\u3044\u3066\u60f3\u50cf\u3057\u3066\u3044\u308bfMRI\u30c7\u30fc\u30bf\u3088\u308a\uff0c\u305d\u306e\u5358\u8a9e\u304c\u4f55\u3067\u3042\u308b\u304b\u3092\u7279\u5b9a\u3059\u308b\u5b9f\u9a13\uff0e2\u3064\u3081\u306f\u611f\u60c5\u306b\u3064\u3044\u3066\u306e\u540c\u69d8\u306e\u5358\u8a9e\u306e\u8b58\u5225\uff0e3\u3064\u3081\u306f\u81ea\u9589\u75c7\u306e\u30d2\u30c8\u306e\u8133\u306e\u69cb\u9020\u7684\u9055\u3044\u3068\u30d5\u30a3\u30fc\u30c9\u30d0\u30c3\u30af\u6a5f\u69cb\u306e\u8003\u5bdf\u3067\u3057\u305f\uff0e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>fMRI\u30c7\u30fc\u30bf\u306b\u56e0\u5b50\u5206\u6790\u3092\u7528\u3044\u305f\u5f8c\u306b\u6a5f\u68b0\u5b66\u7fd2\u3067\u8b58\u5225\u3092\u3059\u308b\u624b\u6cd5\u306f\u3059\u3050\u306b\u7814\u7a76\u5ba4\u306e\u7814\u7a76\u306b\u9069\u5fdc\u3067\u304d\u308b\u3082\u306e\u3060\u3068\u611f\u3058\u305f\uff0e\u307e\u305f\u81ea\u9589\u75c7\u306b\u304a\u3044\u3066\u8133\u69cb\u9020\u304c\u9055\u3046\u306e\u3067\u3042\u308c\u3070ADHD\u3067\u3082\u540c\u3058\u4e8b\u304c\u3044\u3048\uff0c\u305d\u308c\u306f\u30ef\u30fc\u30ad\u30f3\u30b0\u30e1\u30e2\u30ea\u5bb9\u91cf\u5411\u4e0a\u306b\u3088\u3063\u3066\u6539\u5584\u304c\u53ef\u80fd\u3067\u3042\u308a\uff0cDTI\u306b\u3088\u308b\u5b9a\u91cf\u7684\u8a3a\u65ad\u304c\u3067\u304d\u308b\u3068\u8003\u3048\u3089\u308c\u308b\uff0e<br \/>\n&nbsp;<br \/>\n&nbsp;<br \/>\n&nbsp;<br \/>\n\u53c2\u8003\u6587\u732e<br \/>\n1)\u00a0\u00a0\u00a0 2013 International Conferences on Active Media Technology \/ Brain and Health Informatics \u3000<a href=\"http:\/\/wi-consortium.org\/conferences\/amtbi13\/bhi\/index.php\">http:\/\/wi-consortium.org\/conferences\/amtbi13\/bhi\/index.php<\/a><br \/>\n&nbsp;<\/p>\n<div>\n<p align=\"center\"><b>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/b><b><\/b><\/p>\n<\/div>\n<div align=\"center\">\n<table border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u00a0<\/b><b>\u5831\u544a\u8005\u6c0f\u540d<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">\u5927\u6751\u6b69<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">The Effect of the Pleasantness Level of Pictures upon Cerebral Activity using fMRI<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">The Effect of the Pleasantness Level of Pictures upon Cerebral Activity using fMRI<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u8457\u8005<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">\u5c71\u672c\u8a69\u5b50\uff0c\u5927\u6751\u6b69\uff0c\u7530\u4e2d\u7f8e\u91cc\uff0c\u5ee3\u5b89\u77e5\u4e4b<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u4e3b\u50ac<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">Web Intelligence Consortium(WIC)IEEE-CIS Task Force on Brain Informatics(IEEE TF-BI)<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u8b1b\u6f14\u4f1a\u540d<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">Brain Health Informatics 2013<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u4f1a\u5834<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">\u524d\u6a4b\u30c6\u30eb\u30b5<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u958b\u50ac\u65e5\u7a0b<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">2013\/10\/29-2013\/10\/31<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div>\n&nbsp;\n<\/div>\n<p>&nbsp;<br \/>\n1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<br \/>\n2013\/10\/29\u304b\u30892013\/10\/31\u306b\u304b\u3051\u3066\uff0c\u7fa4\u99ac\u306e\u524d\u6a4b\u30c6\u30eb\u30b5\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305fBHI2013\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u3053\u306eBHI2013\u306f\uff0cWIC\u3068IEEE TF-BI\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3055\u308c\u305f\u5b66\u4f1a\u3067\uff0cBHI2013\u306f\uff0c\u8133\u304a\u3088\u3073\u5065\u5eb7\u306b\u95a2\u9023\u3059\u308b\u7814\u7a76\u3084\u529f\u7e3e\u306e\u7279\u5225\u306a\u9069\u7528\u74b0\u5883\u306b\u304a\u3044\u3066\uff0c\u65b0\u3057\u3044\u77e5\u7684\u306a\u8a08\u7b97\u5f62\u5f0f\u3084\u6280\u8853\u306e\u7406\u89e3\u306b\u3064\u3044\u3066\u767a\u5c55\u3055\u305b\u308b\u3053\u3068\uff0c\u304a\u3088\u3073\u5e83\u3081\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\uff0e<br \/>\n\u79c1\u306f\u958b\u50ac\u65e5\u5168\u65e5\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u5c71\u672c\u5148\u751f\uff0c\u798f\u5cf6\u3055\u3093\uff0cBlandine\u3055\u3093\uff0c\u5c0f\u6df5\u304f\u3093\u304c\u53c2\u52a0\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n2. \u7814\u7a76\u767a\u8868<br \/>\n2.1. \u767a\u8868\u6982\u8981<br \/>\n\u79c1\u306f29\u65e5\u306e\u5348\u5f8c\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300cThinking and Perception-Centric Investigations of Human Information Processing System I\u300d\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u53e3\u982d\u767a\u8868\u3067\uff0c12\u5206\u306e\u8b1b\u6f14\u6642\u9593\u30683\u5206\u306e\u8cea\u7591\u5fdc\u7b54\u6642\u9593\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e<br \/>\n\u4eca\u56de\u306e\u767a\u8868\u306f\uff0c\u5feb\u306e\u5ea6\u5408\u5225\u306b\u9078\u5225\u3057\u305f\u753b\u50cf\u3092\u898b\u305b\u305f\u969b\u306e\u8133\u6d3b\u52d5\u306e\u9055\u3044\u306b\u3064\u3044\u3066\u767a\u8868\u3057\u307e\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u6284\u9332\u4e2d\u8eabThe goal of this study is to develop an indicator to identify the levels of pleasantness, based on information provided by functional brain mapping. Paradiso et al. have conducted experiences focusing on humans&#8217; emotions, such as pleasant and unpleasant, and the differences have observed in brain activities when the subjects were shown a pleasant picture in comparison with a neutral picture; especially, the brain activities have been significant in the posterior cingulate gyrus and precuneus. In this study, as a preliminary examination of developing an indicator of pleasantness levels, the brain activities caused by various pleasantness levels of stimuli were observed by fMRI, so as to verify whether those differences in brain activity could be sufficient for classification. In this experiment, the pictures which were categorized into 3 pleasantness levels (High, Medium, and Neutral) were presented to subjects as stimuli, and blood oxygen level-dependent (BOLD) signals were measured using MRI. The nine subjects participated in this experiment. The subjects filled out the questionnaires before and after the fMRI measurement, grading the pleasantness levels of pictures used in the experiment. As the levels of pleasantness of stimuli got high, the results showed that the active area in the brain around the visual area got wider, and the degree of brain activity in the cingulate gyrus got higher.Moreover, the cingulate gyrus was significantly activated by higher pleasant stimuli, in contrast to the lower pleasant stimuli. Therefore, the feasibility of distinguishing the pleasantness levels based on cerebral activity using fMRI is suggested.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<br \/>\n2.2. \u8cea\u7591\u5fdc\u7b54<br \/>\n\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n<b>\u30fb\u8cea\u554f\u5185\u5bb9<\/b><b><\/b><br \/>\n\u5ea7\u9577\u306eTomoaki Shirao\u5148\u751f\u304b\u3089\u306e\u8cea\u554f\u3067\u3059\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\uff0c\u5feb\u306e\u5ea6\u5408\u3067\u5dee\u304c\u51fa\u308b\u306e\u306f\u4e00\u3064\u4e00\u3064\u306e\u6bb5\u968e\u3067\u8ce6\u6d3b\u3057\u3066\u3044\u308b\u304b\u3089\u304b\uff0c\u305d\u308c\u3068\u3082\u4e0b\u304c\u3063\u3066\u3044\u308b\u304b\u3089\u304b\uff0c\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3057\u3066\u5ee3\u5b89\u5148\u751f\u304c\u305d\u308c\u305e\u308c\u306e\u6bb5\u968e\u3067\u8ce6\u6d3b\u304c\u51fa\u3066\u304a\u308a\uff0c\u8ce6\u6d3b\u304c\u4e0b\u304c\u3063\u3066\u3044\u308b\u308f\u3051\u3067\u306f\u306a\u3044\uff0c\u3068\u56de\u7b54\u3057\u3066\u304f\u3060\u3055\u3044\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n2.3. \u611f\u60f3<br \/>\n\u767a\u8868\u30ea\u30cf\u30fc\u30b5\u30eb\u6642\u3088\u308a\u3082\u4e0a\u624b\u304f\u767a\u8868\u3067\u304d\u305f\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u611f\u3058\u307e\u3057\u305f\uff0e\u767a\u8868\u306b\u6291\u63da\u304c\u306a\u3044\u3068\u8a00\u308f\u308c\u305f\u306e\u3067\uff0cBlandine\u306e\u767a\u8868\u3092\u53c2\u8003\u306b\u9811\u5f35\u308a\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u767a\u8868\u7fcc\u65e5\u306b\u5ea7\u9577\u306e\u5148\u751f\u306b\u304a\u4f1a\u3044\u3057\u305f\u306e\u3067\u3059\u304c\uff0cM1\u3067\u6628\u65e5\u306e\u767a\u8868\u3060\u3063\u305f\u3089\u5408\u683c\u70b9\u3060\uff0c\u3068\u304a\u8912\u3081\u9802\u304d\uff0c\u5927\u5909\u5b09\u3057\u304b\u3063\u305f\u3067\u3059\uff0e<br \/>\n&nbsp;<br \/>\n3. \u8074\u8b1b<br \/>\n\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e3\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Modeling the Cognitive Processing during 2-Digit Addition and Substraction Based on ACT-R Simulating\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Yushu Guo and Ning Zhong<br \/>\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aThinking and Perception-Centric Investigations of Human Information Processing System I<br \/>\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a The intrinsic difference between addition and subtraction is still unknown up to now. In this study, based on adaptive control of thought-rational (ACT-R) which is a cognitive architecture for understanding human higher cognitive functions, we modeled the 2-digit addition and subtraction with ACT-R, to find out the different cognitive processing between addition and subtraction, and try to simulate the block-designed experiment which has 4 successive questions in one block. We collected the data of 17 adults derived from the fMRI experiment on the calculation of addition and subtraction. Based on the experiment, we simulated the calculation processing with ACT-R and used the fMRI behavioral data to confirm the average time for calculating to adjust the ACT-R models. Four modules were hypothesized to be involved in the calculations, including Declarative, Goal, Imaginal, and Visual. Then we compared the results of simulation with fMRI BOLD-signals extracted from the brain regions corresponding with 4 modules. As a result, the correlation coefficient between modules the corresponding fMRI BOLD-signals was positive, the coefficient in some modules were larger than 0.8. Meanwhile, we also compared the results between addition and subtraction, which indicated that little difference can be found between them. One reason can be inferred that the cognitive processing was simple because of the low-level of difficulty with no carry or borrow in the both operations.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\uff0c\u52a0\u7b97\u3068\u6e1b\u7b97\u306e\u8a08\u7b97\u51e6\u7406\u306e\u9055\u3044\u306b\u3064\u3044\u3066\u89e3\u660e\u3057\u305f\u3044\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e \u79c1\u81ea\u8eab\uff0c\u52a0\u7b97\u3068\u6e1b\u7b97\u306b\u8a08\u7b97\u51e6\u7406\u306e\u9055\u3044\u304c\u89e3\u660e\u3055\u308c\u3066\u3044\u306a\u3044\u3068\u3044\u3046\u3053\u3068\u3092\u3042\u307e\u308a\u77e5\u3089\u306a\u304b\u3063\u305f\u305f\u3081\uff0c\u5927\u5909\u52c9\u5f37\u306b\u306a\u308a\u307e\u3057\u305f\uff0e\u3057\u304b\u3057\uff0cfMRI\u3092\u7528\u3044\u3066\u3044\u308b\u306e\u306b\u4f7f\u7528\u30d1\u30e9\u30e1\u30fc\u30bf\u304c\u4e00\u5207\u51fa\u3066\u3053\u306a\u304b\u3063\u305f\u306e\u304c\u3072\u3063\u304b\u304b\u308a\u307e\u3057\u305f\uff0e\u7814\u7a76\u3068\u3057\u3066\u306f\u5927\u5909\u8208\u5473\u6df1\u3044\u3082\u306e\u3067\u3057\u305f\u304c\uff0c\u4f55\u304b\u306b\u5fdc\u7528\u3059\u308b\u3068\u3044\u3063\u305f\u8a71\u306f\u805e\u304d\u6d29\u3089\u3057\u305f\u3060\u3051\u304b\u3082\u3057\u308c\u307e\u305b\u3093\u304c\u306a\u304b\u3063\u305f\u6c17\u304c\u3057\u307e\u3059\uff0e<br \/>\n&nbsp;<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a An Attention Level Monitoring and Alarming System for the Driver Fatigue in the Pervasive Environment\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Zhijiang Wan, Jian He and Alicia Voisine<br \/>\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aThinking and Perception-Centric Investigations of Human Information Processing System III<br \/>\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aIn recently years, driver fatigue detecting system has gained increasing attentions in the area of public security. Researchers have succeeded in applying the EEG signals to accurately detect individuals fatigue state in sustained attention tasks. However, these studies were performed under laboratory-oriented configurations using tethered, ponderous EEG equipment, which are not feasible to develop the fatigue detecting system in the real environment. This study focused on developing a portable attention level monitoring and alarming (ALMA) system, featuring a mobile NeuroSky MindSet and an android pad based real-time EEG processing platform, for the driver fatigue in the pervasive environment. A brain feature rule which can represent the brain gradual process from focus state to the fatigue state has been formulated. We evaluated the ability of attention level of the system in the simulated driving cockpit and demonstrated that the system can classify the subjects attention level in accordance with the rule in the real time.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\u904b\u8ee2\u4e2d\u306e\u904b\u8ee2\u8005\u306e\u75b2\u52b4\u306b\u3064\u3044\u3066\u691c\u8a0e\u3057\u305f\u767a\u8868\u3067\u3057\u305f\uff0e\u5148\u884c\u7814\u7a76\u306fEEG\u306e\u91cd\u88c5\u5099\u306e\u4e2d\u3067\u306e\u7814\u7a76\u3060\u3063\u305f\u3068\u3044\u3046\u3053\u3068\u3067\uff0c\u3088\u308a\u7c21\u6613\u7684\u306aNeuroSky\u3092\u7528\u3044\u3066\u306e\u7814\u7a76\u3068\u3044\u3046\u306e\u304c\u65b0\u3057\u3044\u306e\u304b\u306a\u3068\u611f\u3058\u307e\u3057\u305f\uff0e\u4ea4\u901a\u306e\u5b89\u5168\u3092\u3088\u308a\u5411\u4e0a\u3055\u305b\u308b\u306e\u306b\u5f79\u7acb\u3064\u7814\u7a76\u3067\u306f\u306a\u3044\u304b\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n&nbsp;<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000The Neural Structure of Human Concepts: Applying Machine Learning and Factor Analysis to Brain Imaging Data\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Marcel A. Just<br \/>\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a BHI Special Keynote Lecture<br \/>\nAbstruct\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1aThis talk will describe the discovery of a set of biologically-driven semantic dimensions of thought that underlie the brain representation of familiar concepts. The main thesis is that the subsystems of the human brain provide the building blocks for the neural representation of all concepts. Our research applies machine learning and factor analysis methods to fMRI brain images acquired while subjects are thinking about individual concepts.<br \/>\nFor example, the brain representation of individual concrete nouns like hammer or apple has three main neurosemantic factors underpinning their brain representation, factors which we label manipulation, shelter, and eating. When we encounter a concrete inanimate object, we mentally catalog it primarily in terms of how our bodies interact with the object (the manipulation factor), how we can be sheltered or enclosed by it, and how we can eat it. Each of these factors is neurally represented in 3-4 different brain locations corresponding to a cortical network of co-activating regions. In this example, the neural representation of an apple consists of motor representations of holding an apple, as well as representations of mouth movement and tasting an apple. This general approach provides a way to identify a person&#8217;s thought from their fMRI activity, with good accuracy.<br \/>\nFurthermore, the approach is extensible to other types of concepts, such as numerical quantities, interpersonal interactions, and emotions. A future application of the approach is diagnosis of a psychiatric alteration in thought based on the alterations in the fMRI signatures of critical concepts.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u7740\u76ee\u3057\u305f\u306e\u306f\u56e0\u5b50\u5206\u6790\u3067\u3059\uff0e\u56e0\u5b50\u5206\u6790\u3092\u3057\u3066\u304b\u3089\u8b58\u5225\u3092\u3059\u308b\u3068\u3088\u3044\u7cbe\u5ea6\u304c\u5f97\u3089\u308c\u308b\u3068\u3044\u3046\u98a8\u306b\u8a00\u308f\u308c\u3066\u3044\u305f\u3068\u601d\u3046\u306e\u3067\u3059\u304c\uff0c\u5feb\u306e\u5ea6\u5408\u306b\u3064\u3044\u3066\u8b58\u5225\u3092\u884c\u3044\u305f\u3044\u306e\u3067\uff0c\u305c\u3072\u53c2\u8003\u306b\u3057\u305f\u304f\u601d\u3044\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<div>\n<p align=\"center\"><b>\u5b66\u4f1a\u53c2\u52a0\u5831\u544a\u66f8<\/b><b><\/b><\/p>\n<\/div>\n<div align=\"center\">\n<table border=\"0\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u00a0<\/b><br \/>\n<b>\u5831\u544a\u8005\u6c0f\u540d<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">&nbsp;<br \/>\n\u798f\u5cf6\u4e9c\u68a8\u82b1<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u767a\u8868\u8ad6\u6587\u30bf\u30a4\u30c8\u30eb<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">\u8907\u6570\u306e\u8133\u8840\u6d41\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u306e\u985e\u4f3c\u90e8\u5206\u62bd\u51fa\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u767a\u8868\u8ad6\u6587\u82f1\u30bf\u30a4\u30c8\u30eb<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">Extraction Algorithm of Similar Parts from Multiple Time-Series Data of Cerebral Blood Flow<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u8457\u8005<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">Tomoyuki Hiroyasu, Arika Fukushima, Utako Yamamoto<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u4e3b\u50ac<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">Brain and Health Informatics<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u8b1b\u6f14\u4f1a\u540d<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">The 2013 International Conference on Brain and Health Informatics<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u4f1a\u5834<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">\u7fa4\u99ac\u770c\u524d\u6a4b\u5e02\u5343\u4ee3\u7530\u753a\u4e8c\u4e01\u76ee\uff15\u756a\uff11\u53f7\u524d\u6a4b\u30c6\u30eb\u30b5<\/td>\n<\/tr>\n<tr>\n<td valign=\"top\" width=\"147\"><b>\u958b\u50ac\u65e5\u7a0b<\/b><b><\/b><\/td>\n<td valign=\"top\" width=\"373\">2013\/10\/29-2013\/10\/31<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<div>\n&nbsp;\n<\/div>\n<p>&nbsp;<br \/>\n1. \u8b1b\u6f14\u4f1a\u306e\u8a73\u7d30<br \/>\n2013\/10\/29\u304b\u30892013\/10\/31\u306b\u304b\u3051\u3066\uff0c\u7fa4\u99ac\u770c\u524d\u6a4b\u5e02\u524d\u6a4b\u30c6\u30eb\u30b5\u306b\u3066\u958b\u50ac\u3055\u308c\u307e\u3057\u305fThe 2013 International Conference on Brain and Health Informatics[1]\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u3053\u306e\u56fd\u969b\u5b66\u4f1a\u306f\uff0cBrain and Health Informatics\u306b\u3088\u3063\u3066\u4e3b\u50ac\u3055\u308c\u305f\u56fd\u969b\u5b66\u4f1a\u3067\uff0c\u4eba\u9593\u306e\u8133\u3068\u5065\u5eb7\u306b\u95a2\u9023\u3059\u308b\u554f\u984c\u3068\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u79d1\u5b66\u3068\u60c5\u5831\u6280\u8853\u306e\u7814\u7a76\u306e\u9593\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u63a2\u308b\u7814\u7a76\u8005\u3084\u5b9f\u52d9\u5bb6\u304c\u7d50\u96c6\u3057\uff0c\u8b70\u8ad6\u3059\u308b\u305f\u3081\u306b\u4e3b\u8981\u306a\u56fd\u969b\u7684\uff0c\u5b66\u969b\u7684\u306a\u30d5\u30a9\u30fc\u30e9\u30e0\u3092\u63d0\u4f9b\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u306b\u958b\u50ac\u3055\u308c\u3066\u3044\u307e\u3059\uff0e<br \/>\n\u79c1\u306f29\u65e5\u304b\u308931\u65e5\u306b\u304b\u3051\u3066\u5168\u65e5\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u672c\u7814\u7a76\u5ba4\u304b\u3089\u306f\u4ed6\u306b\u5ee3\u5b89\u5148\u751f\uff0c\u5c71\u672c\u5148\u751f\uff0cBlandine\uff0c\u5927\u6751\uff0c\u5c0f\u6df5\u304c\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n2. \u7814\u7a76\u767a\u8868<br \/>\n2.1. \u767a\u8868\u6982\u8981<br \/>\n\u79c1\u306f29\u65e5\u306e16:00\u304b\u3089\u306e\u30bb\u30c3\u30b7\u30e7\u30f3\u300cInformation Technologies for Curating, Mining, Managing and Using Big Brain\/Health Data\u300d\u306b\u53c2\u52a0\u81f4\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u306e\u5f62\u5f0f\u306f\u53e3\u982d\u767a\u8868\u3067\uff0c15\u5206\u306e\u8b1b\u6f14\u6642\u9593\u30685\u5206\u306e\u8cea\u7591\u5fdc\u7b54\u6642\u9593\u3068\u306a\u3063\u3066\u304a\u308a\u307e\u3057\u305f\uff0e<br \/>\n\u4eca\u56de\u306e\u767a\u8868\u306f\uff0c\u300cExtraction Algorithm of Similar Parts from Multiple Time-Series Data of Cerebral Blood Flow\u300d\u3068\u3044\u3046\u30bf\u30a4\u30c8\u30eb\u3067\u767a\u8868\u81f4\u3057\u307e\u3057\u305f\uff0e\u767a\u8868\u5185\u5bb9\u306f\uff0cfunctional Near-infrared Spectroscopy\u88c5\u7f6e\u3067\u8a08\u6e2c\u3055\u308c\u305f\u8907\u6570\u306e\u8133\u8840\u6d41\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u304b\u3089\u672a\u77e5\u306e\u985e\u4f3c\u90e8\u5206\u3092\u9ad8\u901f\u3067\u62bd\u51fa\u3059\u308b\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u63d0\u6848\u304a\u3088\u3073\uff0c\u5148\u884c\u7814\u7a76\u3068\u306e\u6bd4\u8f03\u3068\u8a00\u3046\u5185\u5bb9\u3067\u767a\u8868\u3092\u884c\u3044\u307e\u3057\u305f\uff0e\u4ee5\u4e0b\u306b\u6284\u9332\u3092\u8a18\u8f09\u81f4\u3057\u307e\u3059\uff0e<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">We propose an algorithm to extract similar parts from two different time-series data sets of cerebral blood flow. The proposed algorithm is capable of extracting not only parts that are exactly the same but also similar parts having a few differences since time-series data of cerebral blood flow is reported to be affected by various factors, and real data may therefore differ from a model system. To confirm the effectiveness of the proposed algorithm, we evaluated two sets of time-series data of cerebral blood flow: one artificial and one of actual data, and evaluated the results by visual confirmation as well as correlation coefficient analysis. This demonstrated that the proposed algorithm was able to extract similar parts from time-series data of cerebral blood flow. We also found that a Low-pass filter was needed to process time-series data of cerebral blood flow, when the data contained high-frequency noise.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<br \/>\n2.2. \u8cea\u7591\u5fdc\u7b54<br \/>\n\u4eca\u56de\u306e\u8b1b\u6f14\u767a\u8868\u3067\u306f\uff0c\u4ee5\u4e0b\u306e\u3088\u3046\u306a\u8cea\u7591\u3092\u53d7\u3051\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n<b>\u30fb\u8cea\u554f\u5185\u5bb9<\/b><b>1<\/b><br \/>\n\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\uff0e\u3053\u3061\u3089\u306e\u8cea\u554f\u306f\u985e\u4f3c\u5ea6\u306e\u8a08\u7b97\u306f\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u3060\u3051\u3067\u884c\u3063\u3066\u3044\u308b\u306e\u304b\uff0c\u307e\u305f\uff0c\u305d\u308c\u306f\u59a5\u5f53\u306a\u306e\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u79c1\u306e\u56de\u7b54\u3068\u3057\u307e\u3057\u3066fNIRS\u6642\u7cfb\u5217\u30c7\u30fc\u30bf\u306f\u76f8\u5bfe\u5024\u3067\u3042\u308a\uff0c\u6ce2\u5f62\u306e\u306a\u3059\u5f62\u304c\u91cd\u8981\u306a\u306e\u3067\u5f62\u306e\u307f\u3092\u7740\u76ee\u3059\u308b\u305f\u3081\uff0c\u30b3\u30b5\u30a4\u30f3\u985e\u4f3c\u5ea6\u306e\u307f\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\uff0e<br \/>\n<b>\u30fb\u8cea\u554f\u5185\u5bb9<\/b><b>2<\/b><br \/>\n\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\uff0e\u8cea\u554f\u5185\u5bb9\u306f\u6642\u9593\u304c\u3061\u304c\u3046\u3068\u3053\u308d\u3067\u95a2\u9023\u304c\u3042\u308b\u306e\u306f\u78ba\u4fe1\u304c\u3042\u308b\u306e\u304b\u3068\u3044\u3046\u3053\u3068\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u56de\u7b54\u3067\u3059\u304c\u82f1\u8a9e\u3067\u7b54\u3048\u3089\u308c\u305a\uff0c\u5ee3\u5b89\u5148\u751f\u306b\u7b54\u3048\u3066\u9802\u304d\u307e\u3057\u305f\uff0e\u56de\u7b54\u306f\u6642\u9593\u304c\u96e2\u308c\u3059\u304e\u3066\u3044\u308b\u3068\u95a2\u9023\u304c\u3042\u308b\u3068\u306f\u8a00\u3048\u306a\u3044\u304c\uff0c\u5fae\u5c0f\u306a\u5dee\u7570\u3067\u3042\u308c\u3070\u95a2\u9023\u304c\u3042\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u306e\u3067\u306f\u306a\u3044\u304b\u3068\u3044\u3046\u3082\u306e\u3067\u3059\uff0e<br \/>\n<b>\u30fb\u8cea\u554f\u5185\u5bb9<\/b><b>3<\/b><br \/>\n\u8cea\u554f\u8005\u306e\u6c0f\u540d\u3092\u63a7\u3048\u640d\u306d\u3066\u3057\u307e\u3044\u307e\u3057\u305f\uff0e\u8cea\u554f\u5185\u5bb9\u306f\u3053\u306e\u65b9\u6cd5\u304c\u826f\u3044\u3068\u3044\u3046\u306e\u306f\u3069\u3046\u3084\u3063\u3066\u78ba\u304b\u3081\u308b\u306e\u304b\u3068\u3044\u3046\u3053\u3068\u3067\u3057\u305f\uff0e\u3053\u306e\u8cea\u554f\u306b\u5bfe\u3059\u308b\u56de\u7b54\u3067\u3059\u304c\u82f1\u8a9e\u3067\u7b54\u3048\u3089\u308c\u305a\uff0c\u5ee3\u5b89\u5148\u751f\u306b\u7b54\u3048\u3066\u9802\u304d\u307e\u3057\u305f\uff0e\u4eca\u5f8c\u306fDynamic Time Wapping\u306a\u3069\u306e\u985e\u4f3c\u5ea6\u6307\u6a19\u3092\u7528\u3044\u3066\u691c\u8a0e\u3057\u3066\u3044\u304f\u3068\u3044\u3046\u3082\u306e\u304c\u89e3\u7b54\u3067\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n2.3. \u611f\u60f3<br \/>\n\u4eca\u56de\u306e\u56fd\u969b\u5b66\u4f1a\u3067\u306f\u521d\u3081\u3066\u306e\u53e3\u982d\u767a\u8868\u3067\uff0c\u968f\u5206\u3068\u7dca\u5f35\u3057\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u4ed6\u306e\u767a\u8868\u4f1a\u3068\u6e96\u5099\u671f\u9593\u304c\u88ab\u308a\uff0c\u767a\u8868\u76f4\u524d\u307e\u3067\u30b9\u30e9\u30a4\u30c9\u306e\u4fee\u6b63\u3092\u884c\u3063\u305f\u308a\u3082\u3057\u3066\u3044\u3066\uff0c\u6e96\u5099\u4e0d\u8db3\u3067\u3042\u3063\u305f\u3068\u601d\u3044\u307e\u3059\uff0e\u5b66\u751f\u751f\u6d3b\u6700\u5f8c\u306e\u6708\u4f8b\u767a\u8868\u4f1a\u3067\u3042\u3063\u305f\u305f\u3081\u306b\uff0c\u5927\u5909\u6094\u3057\u304f\u306b\u601d\u3044\u307e\u3059\uff0e\u3057\u304b\u3057\uff0c\u4eca\u56de\u306e\u56fd\u969b\u5b66\u4f1a\u3067\u5171\u306b\u767a\u8868\u306b\u53c2\u52a0\u3057\u305fBlandine\u3068\u306e\u4ea4\u6d41\u306e\u4e2d\u3067\uff0c\u5ea7\u9577\u306e\u65b9\u306b\u767a\u8868\u4e2d\u8cea\u554f\u3055\u308c\u305f\u6642\uff0c\u8aa4\u5b57\u3092\u767a\u898b\u3057\u305f\u6642\u306b\u30d1\u30cb\u30c3\u30af\u306b\u306a\u3089\u305a\u82f1\u8a9e\u3067\u5bfe\u5fdc\u3067\u304d\u305f\u3053\u3068\u306f\u826f\u304b\u3063\u305f\u3068\u601d\u3044\u307e\u3059\uff0e\u307e\u305f\uff0c6\u6708\u306b\u53c2\u52a0\u3057\u305f\u4eba\u5de5\u77e5\u80fd\u5b66\u4f1a\u5168\u56fd\u5927\u4f1a\u3067\u306f\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u6982\u8981\u304c\u3046\u307e\u304f\u4f1d\u308f\u3089\u305a\uff0c\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u8cea\u554f\u304c\u4e2d\u5fc3\u3067\u3057\u305f\u304c\uff0c\u4eca\u56de\u306e\u767a\u8868\u3067\u306f\uff0c\u5c02\u9580\u5bb6\u306e\u610f\u898b\u3084\u533b\u5b66\u7684\u898b\u89e3\u306a\u3069\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u306e\u5fc5\u8981\u6027\u306b\u307e\u3067\u8b70\u8ad6\u304c\u767a\u5c55\u3057\u3066\uff0c\u3088\u3046\u3084\u304f\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u81ea\u4f53\u306f\u4f1d\u308f\u308b\u767a\u8868\u304c\u3067\u304d\u3066\u826f\u304b\u3063\u305f\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n3. \u8074\u8b1b<br \/>\n\u4eca\u56de\u306e\u8b1b\u6f14\u4f1a\u3067\u306f\uff0c\u4e0b\u8a18\u306e3\u4ef6\u306e\u767a\u8868\u3092\u8074\u8b1b\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Human-Robot Interaction: Our Experience Since 1991<br \/>\n\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Yuichiro Anzai<br \/>\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Special AMT-BHI Joint Keynote Lecture<br \/>\nAbstract\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a AMT (Active Media Technology) and Brain and Health Informatics (BHI) are both growing and enlarging\u3000arenas that attract people interested in a variety of fields from sciences to engineering, and to our quality of\u3000lives and society. Even there are lots of enchanting topics at the intersection of AMT and BHI, notably\u3000including R&amp;D towards smooth and comfortable interaction between humans and their environments. In\u3000the main course of this talk, I will compile, as an example from such enchanting topics, our long-standing\u3000effort since 1991 towards new ways of exploring human-robot interaction. It contains basic technologies,\u3000design implications given from cognitive sciences, and possible application to the improvement of the\u3000quality of our lives. In the talk I will spare a little bit of time to touch upon the current and possible future\u3000trends of science, technology and innovation policies in Japan, particularly those related to AMT and BHI,\u3000that may help develop birds-eye views of our dynamically moving fields.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u306f\u3053\u306e\u56fd\u969b\u5b66\u4f1aThe 2013 International Conference on Brain and Health Informatics\u306e\u5927\u4f1a\u9577\u3067\u3042\u308b\u5b89\u897f\u5148\u751f\u306e\u767a\u8868\u3067\u3042\u308b\u305f\u3081\u8208\u5473\u3092\u6301\u3061\u307e\u3057\u305f\uff0e\u30ed\u30dc\u30c3\u30c8\u3068\u4eba\u9593\u306e\u76f8\u4e92\u4f5c\u7528\u306e\u7814\u7a76\u306e\u6b74\u53f2\u30921991\u5e74\u304b\u3089\u632f\u308a\u8fd4\u3063\u3066\u3044\u304f\u3068\u3044\u3046\u3082\u306e\u3067\u3057\u305f\u304c\uff0c\u7d0420\u5e74\u9593\u3067\u30ed\u30dc\u30c3\u30c8\u304c\u76ee\u899a\u307e\u3057\u3044\u9032\u6b69\u3092\u9042\u3052\u305f\u3068\u3044\u3046\u4e8b\u5b9f\u304c\u3042\u308a\u3042\u308a\u3068\u898b\u3066\u3068\u308c\uff0c\u5927\u5909\u52c9\u5f37\u306b\u306a\u308a\u307e\u3057\u305f\uff0e\u307e\u305f\uff0c\u30ed\u30dc\u30c3\u30c8\u306e\u53ef\u80fd\u6027\u3092\u5927\u3044\u306b\u611f\u3058\u3055\u305b\u308b\u5185\u5bb9\u3067\u3042\u308a\uff0c\u9ad8\u306e\u539f\u306e\u30a4\u30aa\u30f3\u30e2\u30fc\u30eb\u3067\u306e\u5b9f\u9a13\u6620\u50cf\u3082\u3042\u308a\u307e\u3057\u305f\u304c\uff0c\u81ea\u5206\u306e\u751f\u6d3b\u30d5\u30a3\u30fc\u30eb\u30c9\u306e\u8fd1\u304f\u3067\u3053\u3093\u306a\u306b\u7d20\u6674\u3089\u3057\u3044\u7814\u7a76\u304c\u306a\u3055\u308c\u3066\u3044\u308b\u306e\u304b\u3068\u611f\u52d5\u3057\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Meme Media and Knowledge Federation in the Age of Big Data<br \/>\n\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Yuzuru Tanaka<br \/>\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a AMT Keynote Lecture<br \/>\nAbstract\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a Meme media research started with the proposal of the synthetic media architecture IntelligentPad and its\u3000implementation in Smalltalk 80 in 1989. This architecture was then reoriented in 1993 to meme media and\u3000meme pool architectures. The dissemination of Web browsers around that time made us consider how to\u3000use the Web as a world-wide meme pool, i.e., a repository of meme media objects. Then we came across\u3000the problem of how to wrap a whole Web resource like Web applications or Web services and\/or an\u3000embedded Web resource into a meme media object. Once wrapped, such resources can be easily combined\u3000together to interoperate with each other. This idea opened a new vista of knowledge federation, i.e.,\u3000dynamic federation of knowledge resources over the Web. Knowledge federation requires two new\u3000technologies, i.e., one to extract an embedded knowledge resource from a Web document, and the other to\u3000wrap the extracted resource into a meme media object. This idea, however, requires two different\u3000environments, i.e., the Web environment and a meme media system environment. The ideal solution was to\u3000unify these two environments, which resulted in the proposal of the Webble World system. This talk will\u3000briefly review the history of our R&amp;D on meme media and knowledge federation, and give their new\u3000perspectives in the age of big data by showing the two large-scale practical applications of the Webble\u3000World technology. One is the integrated visual environment for supporting different stages of clinical trials\u3000on cancer including the design of the trial master plan and the CRF (Case Report Form) of each treatment\u3000event by the trial chairman, the guidance of patient treatment and data input during the treatment of each\u3000patient by a clinician, and the exploratory visual analytics of the accumulated trial data for data analysts to\u3000find out better personalized medicine. The other is the optimization of the snow plowing and removing in\u3000Sapporo City through the exploratory visual analytics of a variety of retrospective and real-time data\u3000including probe car data, probe person data, meteorological data, snow-plowing and removing records,\u3000traffic accidents, tweets, etc. The talk will focus on the ill-formed nature of these problems, the necessity of\u3000exploratory visual analytics with an open large library of tools and services and their improvisational federation capability, and how meme media and knowledge federation will give answers to these requirements in the age of data.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u7740\u76ee\u3057\u305f\u306e\u306f\u300cIntelligentPad\u300d\u3068\u3044\u3046\u30ad\u30fc\u30ef\u30fc\u30c9\u3067\u3057\u305f\uff0e\u73fe\u5728\uff0ciPad\u3084Nexus\u306a\u3069\u300cIntelligentPad\u300d\u3092\u9023\u60f3\u3055\u305b\u308b\u3082\u306e\u306f\u8fd1\u5e74\u6025\u6fc0\u306b\u767a\u9054\u3057\u3066\u304d\u305f\u79c1\u304c\u8208\u5473\u306e\u3042\u308b\u5206\u91ce\u306e1\u3064\u3067\u3082\u3042\u308a\u307e\u3059\uff0e\u3053\u306e\u767a\u8868\u3067\u306f\uff0cWeb\u306b\u95a2\u3057\u3066\u306e\u6b74\u53f2\u3082\u5b66\u3079\uff0c\u5927\u5909\u52c9\u5f37\u306b\u306a\u308a\u307e\u3057\u305f\uff0e\u305f\u3060\u6614\u306e\u6620\u50cf\u306a\u3069\u304b\u3089\u8003\u3048\u3089\u308c\u308b\u672a\u6765\u3068\u306f\u3042\u308b\u610f\u5473\u3067\u304b\u3051\u96e2\u308c\uff0c\u3042\u308b\u610f\u5473\u3067\u307e\u3060\u307e\u3060\u9032\u6b69\u3057\u3066\u3044\u306a\u3044\u3068\u3053\u308d\u304c\uff0c\u9762\u767d\u3044\u3068\u601d\u3044\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<\/p>\n<table border=\"1\" cellspacing=\"0\" cellpadding=\"0\">\n<tbody>\n<tr>\n<td valign=\"top\" width=\"529\">\u767a\u8868\u30bf\u30a4\u30c8\u30eb\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Situational Software Engineering<br \/>\n\u8457\u8005\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a\u3000Carl K. Chang<br \/>\n\u30bb\u30c3\u30b7\u30e7\u30f3\u540d\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a AMT Keynote Lecture<br \/>\nAbstract\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \uff1a In this talk I will review and discuss past and present software engineering research and practices based on a \u201csituational\u201d perspective. Then, I will speculate on a possible roadmap that may lead software engineering as a discipline into a brave new world of computing. It is my intention through this talk to impress upon the audience the importance of the fast emerging situational computing as the new platform to advance software engineering. Computer systems must be able to adapt to the dynamic and changing environment in response to instant or delayed feedback from a service installation that nowadays is becoming more and more context aware. However, current context-aware service-centric models largely lack the capability to continuously explore human mental states that are hidden, yet often drive system evolution. This talk presents my current research in Situi. In this study, I give situation a definition that is rich in semantics and useful for modeling and reasoning about human intentions, whereas the definition of intention hinges upon reading a temporal sequence of situations to reach a goal. Based on this framework, instant definition of individualized service requirements at runtime may become possible, and it may significantly shorten the service evolution cycle. In the end, I will enumerate steep research challenges in order to accomplish what I envisioned.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u3053\u306e\u767a\u8868\u3067\u7740\u76ee\u3057\u305f\u306e\u306f\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u5de5\u5b66\u306e\u8b1b\u7fa9\u3060\u304b\u3089\u3067\u3057\u305f\uff0e\u4eba\u9593\u306e\u610f\u56f3\u306b\u3064\u3044\u3066\u306e\u30e2\u30c7\u30ea\u30f3\u30b0\u3068\u8a00\u3046\u8a71\u3067\u3057\u305f\u304c\uff0c\u79c1\u306e\u77e5\u8b58\u4e0d\u8db3\u304c\u6094\u3084\u307e\u308c\u308b\u304a\u8a71\u3067\u3057\u305f\uff0e\u3057\u304b\u3057\uff0c\u4eba\u9593\u306e\u7cbe\u795e\u72b6\u614b\u3092\u8003\u616e\u3059\u308b\u30b7\u30b9\u30c6\u30e0\u306a\u3069\u306f\u79c1\u306e\u6240\u5c5e\u3059\u308b\u7814\u7a76\u5ba4\u306e\u30c6\u30fc\u30de\u306b\u3082\u901a\u305a\u308b\u3082\u306e\u304c\u3042\u308a\uff0c\u5927\u5909\u8208\u5473\u6df1\u304f\u805e\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u3057\u305f\uff0e<br \/>\n&nbsp;<br \/>\n&nbsp;<br \/>\n\u53c2\u8003\u6587\u732e<br \/>\n[1]\u00a0\u00a0 The 2013 International Conference on Brain and Health Informatics<br \/>\nhttp:\/\/wi-consortium.org\/conferences\/amtbi13\/bhi\/<\/p>\n<div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>\u524d\u6a4b\u30fb\u7fa4\u99ac\u3067\u958b\u50ac\u3055\u308c\u305fBHI 2013\u306b\u3066\u767a\u8868\u3057\u307e\u3057\u305f\u3002 \u5c0f\u6df5\u5c06\u543e (B4) \u00a0Analysis of Brain Areas Activated While Using Strategies to Improve th &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/is.doshisha.ac.jp\/news\/?p=1935\" class=\"more-link\"><span class=\"screen-reader-text\">&#8220;\u3010\u901f\u5831\u3011BHI 2014&#8221; \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[6],"tags":[],"class_list":["post-1935","post","type-post","status-publish","format-standard","hentry","category-6"],"_links":{"self":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts\/1935","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1935"}],"version-history":[{"count":0,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=\/wp\/v2\/posts\/1935\/revisions"}],"wp:attachment":[{"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1935"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1935"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/is.doshisha.ac.jp\/news\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1935"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}