Conceptual design for mathematically modeling affective decision-making processes

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K12033
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 61060:Kansei informatics-related
• Research Institution: Chuo University
• Principal Investigator: Shoji Hiroko 中央大学, 理工学部, 教授 (30286174)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 意思決定 / 感性モデル / 決定木

Outline of Final Research Achievements

In this study, first, we proposed a method for modeling the decision-making process using decision trees. Next, we conducted a simulation experiment to collect decision-making examples. We then applied a decision tree modeling method to the experimental results. The resulting decision trees made it possible to visually grasp the differences in sensibilities that vary from person to person. Finally, we compared the difference in the number of nodes in the decision tree depending on whether or not people had product preferences, and confirmed through statistical testing that differences in sensibilities were reflected in the differences in the decision tree structure.

Free Research Field

感性情報処理

Academic Significance and Societal Importance of the Research Achievements

提案手法によって意思決定プロセスを決定木で表現することにより、意思決定に反映される個々人の感性の違いを視覚化することが可能となった。また、決定木表現を用いたことにより機械学習を適用して選好の予測や情報推薦への応用が可能となった。本研究の知見は、今後感性的な思考プロセスに対して機械学習を適用して学習や予測がおこなえる可能性を創出するための基礎的知見として社会的にも有意義である。