{"created":"2023-06-19T12:45:41.751493+00:00","id":5525,"links":{},"metadata":{"_buckets":{"deposit":"65a7ad6b-11ac-4d9d-8ccf-556af619faf9"},"_deposit":{"created_by":3,"id":"5525","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"5525"},"status":"published"},"_oai":{"id":"oai:tokyo-metro-u.repo.nii.ac.jp:00005525","sets":["521:613:616:763:1316"]},"author_link":["18366","18367"],"item_3_alternative_title_19":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"A Cognitive Analysis of Preference for Landscape : The Predictors Model"}]},"item_3_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1995","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"56","bibliographicPageEnd":"46","bibliographicPageStart":"37","bibliographic_titles":[{"bibliographic_title":"総合都市研究"}]}]},"item_3_creator_3":{"attribute_name":"著者別名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Tanaka, Hirayatu"}],"nameIdentifiers":[{"nameIdentifier":"18367","nameIdentifierScheme":"WEKO"}]}]},"item_3_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"「感性情報処理」研究の枠組みの中で、景観の好悪感の規定因を探る実験を行った。74名の被験者に、風景写真70枚(解析は66枚)の好き嫌いを5段階尺度で評定してもらった。風景の要素は、新しい建造物、舗道、人工的植栽および自然林などで構成されている。つぎに、景観の特徴を的確に記述すると想定される8個のpredictor、すなわち広大性(spaciousness)、避隠性(refuge)、統一性(coherence)、明瞭性(regibility)、複雑性(complexity)、神秘性(mystery)、同一性(identifiability)、自然性(nature)を選定した。66枚の風景についてそれぞれの特徴を示す程度を3段階で判定し、それをカテゴリー値と呼ぶ。好悪感とカテゴリー値のあいだで、重回帰分析を行ったところ、神秘性、統一性、明瞭性は正の、複雑性は負のpredictorであることがわかった。この内容を平たく述べると、「入り込んでいけるような風景は好まれる。まとまりのよい風景、わかりやすい風景が好まれ、ごちゃごちゃした風景は嫌われる」ということになる。自然性のpredictorはうまく機能しなかったことを除くと、景観の好悪度評価に関してpredictor変数を規定因として記述するというアプローチは、全体としてみれば、一定程度の成功をみせた。自然性のカテゴリーが不安定となったのは、整備されていない緑をカウントしたためと予想された。","subitem_description_type":"Abstract"},{"subitem_description":"The present study attempts to construct an information-processing model for ‘kansei' evaluation: the predictor model. An experiment was conducted to ascertain the validity of this theoretical position. Preferences for urban environments containing contemporary buildings，tended nature，ordinary natural setting，and so on，were studied as a function of eight predictor variables: spaciousness，refuge，coherence，legibility，complexity，mystery，identifiability，and nature. Regression analyses revealed three variables as independent positive predictors of preference: mystery，coherence，and legibility，and one variable as negative predictor: complexity. The results support the usefulness of the predictor model of environmental preference.","subitem_description_type":"Abstract"}]},"item_3_description_40":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"postprint","subitem_description_type":"Other"}]},"item_3_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"東京都立大学都市研究センター"}]},"item_3_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00134354","subitem_source_identifier_type":"NCID"}]},"item_3_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"03863506","subitem_source_identifier_type":"ISSN"}]},"item_3_version_type_16":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"田中, 平八"}],"nameIdentifiers":[{"nameIdentifier":"18366","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":"2017-03-17"}],"displaytype":"detail","filename":"20024-056-003.pdf","filesize":[{"value":"752.3 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"20024-056-003.pdf","url":"https://tokyo-metro-u.repo.nii.ac.jp/record/5525/files/20024-056-003.pdf"},"version_id":"6841d487-b133-4103-b061-24f7ce71251c"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Environmental Preference","subitem_subject_scheme":"Other"},{"subitem_subject":"Predictor Model","subitem_subject_scheme":"Other"},{"subitem_subject":"Regression Analyses","subitem_subject_scheme":"Other"},{"subitem_subject":"Natural Setting","subitem_subject_scheme":"Other"},{"subitem_subject":"Evaluation of “Kansei”","subitem_subject_scheme":"Other"},{"subitem_subject":"環境に対する好悪感","subitem_subject_scheme":"Other"},{"subitem_subject":"予測子モデル","subitem_subject_scheme":"Other"},{"subitem_subject":"重回帰分析","subitem_subject_scheme":"Other"},{"subitem_subject":"緑のセッティング","subitem_subject_scheme":"Other"},{"subitem_subject":"感性評価","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"環境景観に対する好悪感の規定因 : 認知モデルにもとづいた予測的評価法","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"環境景観に対する好悪感の規定因 : 認知モデルにもとづいた予測的評価法"}]},"item_type_id":"3","owner":"3","path":["1316"],"pubdate":{"attribute_name":"公開日","attribute_value":"2017-03-31"},"publish_date":"2017-03-31","publish_status":"0","recid":"5525","relation_version_is_last":true,"title":["環境景観に対する好悪感の規定因 : 認知モデルにもとづいた予測的評価法"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-06-19T17:15:20.511338+00:00"}