{"id":50489,"updated":"2025-01-22T07:37:10.592962+00:00","links":{},"created":"2025-01-18T23:15:15.348795+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00050489","sets":["1164:4402:4427:4431"]},"path":["4431"],"owner":"1","recid":"50489","title":["時系列的データに対する人間の情報処理行動の特性"],"pubdate":{"attribute_name":"公開日","attribute_value":"2003-01-29"},"_buckets":{"deposit":"f213467d-8435-40ce-b5cf-aed348c294e3"},"_deposit":{"id":"50489","pid":{"type":"depid","value":"50489","revision_id":0},"owners":[1],"status":"published","created_by":1},"item_title":"時系列的データに対する人間の情報処理行動の特性","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"時系列的データに対する人間の情報処理行動の特性"},{"subitem_title":"Information processing and decision making of human to the time series data","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2003-01-29","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪市立大学大学院経済学研究科"},{"subitem_text_value":"大阪市立大学大学院経済学研究科理論経済学・経済史専攻"},{"subitem_text_value":"奈良女子大学文学部"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Economics, Osaka City University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Economics, Osaka City University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Letters, Nara Women's University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/50489/files/IPSJ-ICS02131033.pdf"},"date":[{"dateType":"Available","dateValue":"2005-01-29"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-ICS02131033.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"25"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"6edf6412-8b24-46b3-b190-6239393b4a33","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2003 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"橋本, 文彦"},{"creatorName":"上田, 智巳"},{"creatorName":"北澤, 裕子"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Fumihiko, Hashimoto","creatorNameLang":"en"},{"creatorName":"Tomomi, Ueda","creatorNameLang":"en"},{"creatorName":"Yuko, Kitazawa","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11135936","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"株価データを模した経済指標情報を用い，時間・精度をパラメタとして被験者がどの程度精確に情報を捕らえ，また予測を行うかを検討した．時間・精度ともに，より少ない情報量の場合でもより多くの情報量を与えられた場合に比べて成績は下がらなかった．むしろ，確信度や答えの実測分布において情報量が少ない場合の方が安定した結果を得ることができた．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Using the economic index information, which imitated stock price data each differed in display interval or numerical acciracy, we examined how accurate subjects understand these data and appropriately forecast from them. The subject's perormance is not differ in different interval nor different accuracy. Rather, well performance in less information, measured in confidence or response distribution.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"190","bibliographic_titles":[{"bibliographic_title":"情報処理学会研究報告知能と複雑系（ICS）"}],"bibliographicPageStart":"185","bibliographicIssueDates":{"bibliographicIssueDate":"2003-01-29","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"8(2002-ICS-131)","bibliographicVolumeNumber":"2003"}]},"relation_version_is_last":true,"weko_creator_id":"1"}}