2023 Fiscal Year Final Research Report
Estimation of intellectual productivity of PC workers based on cognition-oriented operation latency
Project/Area Number |
19H04151
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Basic Section 61020:Human interface and interaction-related
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Research Institution | Tokyo University of Agriculture and Technology |
Principal Investigator |
Fujita Kinya 東京農工大学, 工学(系)研究科(研究院), 教授 (30209051)
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Co-Investigator(Kenkyū-buntansha) |
横山 ひとみ 岡山理科大学, 経営学部, 准教授 (50638517)
下田 宏 京都大学, エネルギー科学研究科, 教授 (60293924)
辻 愛里 東京農工大学, 工学(系)研究科(研究院), 助教 (10774284)
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Project Period (FY) |
2019-04-01 – 2023-03-31
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Keywords | ヒューマンインタフェース / 知的生産性 / 集中度 / 認知負荷 / かな漢字変換 |
Outline of Final Research Achievements |
This study discusses the feasibility to estimate the concentration level of Japanese document workers using computer. Based on the previous findings that dual-task scenarios increase reaction time, we hypothesized that the Kana-Kanji conversion confirmation time (KKCCT) would increase due to the decrease in cognitive resources allocated to the document task, i.e. the level of concentration on the task at hand. To examine this hypothesis, we conducted a set of experiments in which sixteen participants copied Kana text by typing and concurrently converted it into Kanji under three conditions: Normal, Dual-task, and Mental-fatigue. The results suggested the feasibility that KKCCT increased when participants were less concentrated on the task due to subtask or mental fatigue. These findings imply the potential utility of using confirmation time as a measure of concentration level in Japanese document workers.
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Free Research Field |
ヒューマンインタフェース
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Academic Significance and Societal Importance of the Research Achievements |
日本語のテキスト入力で普遍的に発生するかな漢字変換の確認時間と集中度の関連性は,将来的には実時間での集中度の推定につながるものと期待される.その社会応用には,作業者へのフォードバックやリモートワーカ同士での遠隔共有などが想定され,集中の支援や作業阻害の回避などによる知的生産性の向上を期待することができる.
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