2022 Fiscal Year Final Research Report
Decision strategy estimation and decision support using latent semantic analysis model and computer simulation
Project/Area Number |
19K13825
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Research Category |
Grant-in-Aid for Early-Career Scientists
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Allocation Type | Multi-year Fund |
Review Section |
Basic Section 07090:Commerce-related
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Research Institution | University of Shizuoka |
Principal Investigator |
Yuki Tamari 静岡県立大学, 経営情報学部, 准教授 (60737360)
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Project Period (FY) |
2019-04-01 – 2023-03-31
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Keywords | 意思決定 / 計算機シミュレーション / 情報モニタリング法 / 意思決定過程 / 過程追跡法 |
Outline of Final Research Achievements |
The purpose of this study was to develop a method for estimating decision strategies, to examine the relationship between the strategies estimated using the developed method and decision making, and to propose a method for using the method to support decision making. The following results were obtained in this project. We compared data from three types of information search series: information monitoring methods, eye movement measurements, and computer simulations. 2. Identification of decision strategies was conducted by combining computer simulation, information monitoring, and deep learning. 3. From the viewpoint of avoiding bad decisions, we conducted a psychological experiment using computer simulation and information monitoring methods and analyzed the results. It was suggested that the disjunctive decision strategy leads to bad decisions, and that the effort to make the best choice may lead to the worst possible outcome.
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Free Research Field |
行動意思決定論
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Academic Significance and Societal Importance of the Research Achievements |
よい意思決定、合理的な意思決定、あるいは満足できる意思決定をするためには、または悪い意思決定を避けるには、意思決定者自身が意思決定場面において、どのような状況下であるのか、どのような決定方略を用いるのか、そして、どのような意思決定に至るのかを把握する必要があると考えられる。これまでの決定方略の分析と適応では、移動方向の傾向を表す指標などが提案されてはいるものの、定性的な分析に留まっており、意思決定場面などの変化によって、どのような決定方略が用いられていたかを記述できているとは言えなかった。意思決定の予測、および意思決定支援に役立てられると考えられる。
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