{"created":"2023-07-25T10:24:01.968443+00:00","id":1332,"links":{},"metadata":{"_buckets":{"deposit":"fb3b7cd9-c40c-4591-a492-db49598867fd"},"_deposit":{"created_by":1,"id":"1332","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"1332"},"status":"published"},"_oai":{"id":"oai:hiroshima-cu.repo.nii.ac.jp:00001332","sets":["52:220"]},"author_link":["4613","4612","4611","4614"],"item_10003_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2011","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"3160","bibliographicPageStart":"3155","bibliographic_titles":[{"bibliographic_title":"2011 IEEE International Conference on Systems, Man and Cybernetics"}]}]},"item_10003_description_19":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_10003_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Mental State Transition Network which consists\n of mental states connected one another is a basic concept of\n approximating to human psychological and mental responses. It\n can represent transition from an emotional state to other one\n with stimulus by calculating Emotion Generating Calculations\n method. However, this method ignores most of emotions except\n for an emotion which has the strongest effect although EGC can\n calculate the degree of 20 emotions in parallel. In this paper,\n we investigate the discrepancy between the group of emotions\n by EGC and the clustering results of the relation of sentences\n and their emotions by Self Organizing Map. Mental state transits\n based on the group of emotions on the map. For example, a set\n of emotions in a group transits the mental state “happy,” and\n negative mental state is enfeebled.\n Index Terms—Emotion Oriented Interface, Emotion Generating\n Calculations, Mental State Transition Network, Self Organizing\n Map","subitem_description_type":"Abstract"}]},"item_10003_description_6":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"査読有り","subitem_description_type":"Other"}]},"item_10003_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"IEEE"}]},"item_10003_rights_15":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works."}]},"item_10003_version_type_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"MERA, Kazuya"},{"creatorName":"メラ, カズヤ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"4611","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"ICHIMURA, Takumi"},{"creatorName":"イチムラ, タクミ","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{"nameIdentifier":"4612","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"目良, 和也","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"4613","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"市村, 匠","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"4614","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-03-02"}],"displaytype":"detail","filename":"IEEESMC2011(final).pdf","filesize":[{"value":"275.7 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"IEEESMC2011(final).pdf","url":"https://hiroshima-cu.repo.nii.ac.jp/record/1332/files/IEEESMC2011(final).pdf"},"version_id":"c95553a2-bc6f-456b-a1be-de7509aaeea6"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference paper","resourceuri":"http://purl.org/coar/resource_type/c_5794"}]},"item_title":"Classification of EGC output and Mental State Transition Networkusing Self Organizing Map","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Classification of EGC output and Mental State Transition Networkusing Self Organizing Map"}]},"item_type_id":"10003","owner":"1","path":["220"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-03-02"},"publish_date":"2023-03-02","publish_status":"0","recid":"1332","relation_version_is_last":true,"title":["Classification of EGC output and Mental State Transition Networkusing Self Organizing Map"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-07-25T10:47:06.158724+00:00"}