SH-Model: A Model Based on Both System and Human Effects for Pointing Task Evaluation

• Item type: Journal(1)
• 公開日: 2005-05-15
• タイトル: SH-Model: A Model Based on Both System and Human Effects for Pointing Task Evaluation
• タイトル / 言語: en
• タイトル: SH-Model: A Model Based on Both System and Human Effects for Pointing Task Evaluation
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: 論文
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• その他タイトル / その他のタイトル: ユーザインタフェース
• 著者所属: Kochi University of Technology
• 著者所属: Kochi University of Technology
• 著者所属: Asahikawa University
• 著者所属(英): en
• 著者所属(英): Kochi University of Technology
• 著者所属(英): en
• 著者所属(英): Kochi University of Technology
• 著者所属(英): en
• 著者所属(英): Asahikawa University
• 著者名: Xiangshi, Ren; Jing, Kong; Xing-QiJiang
• 著者名(英): Xiangshi, Ren; Jing, Kong; Xing-Qi, Jiang
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: As a well-known human performance model Fitts' law a tool for evaluating pointing devices has been accepted and applied for a long time in the human computer interaction field. However doubts now exist regarding its validity. One challenging job for those who are doing research on human performance models is to resolve the problem relating to input hits' distribution (i.e. spatial constraint). We developed a new model based on temporal distribution to alter the traditional models. The new model and the traditional models are compared in two experiments using AIC (Akaike's Information Criterion) a criterion for statistical model selection. The results show that the new model is better than the traditional ones in performance evaluation.
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: As a well-known human performance model, Fitts' law, a tool for evaluating pointing devices, has been accepted and applied for a long time in the human computer interaction field. However, doubts now exist regarding its validity. One challenging job for those who are doing research on human performance models is to resolve the problem relating to input hits' distribution (i.e., spatial constraint). We developed a new model based on temporal distribution to alter the traditional models. The new model and the traditional models are compared in two experiments using AIC (Akaike's Information Criterion), a criterion for statistical model selection. The results show that the new model is better than the traditional ones in performance evaluation.
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 46, 号 5, p. 1343-1353, 発行日 2005-05-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764