Compatibility Prediction Algorithm based on Resting-State Brain Functional Data

2022 Fiscal Year Final Research Report

• Project/Area Number: 21K18556
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 10:Psychology and related fields
• Research Institution: Kyoto Institute of Technology
• Principal Investigator: Kajimura Shogo 京都工芸繊維大学, 情報工学・人間科学系, 助教 (60802527)
• Co-Investigator(Kenkyū-buntansha): 伊藤 文人 高知工科大学, フューチャー・デザイン研究所, 講師 (00722307)
• Project Period (FY): 2021-07-09 – 2023-03-31
• Keywords: コミュニケーション / 相性 / 協力行動 / fMRI / 安静時脳機能

Outline of Final Research Achievements

The purpose of this study was to establish a method for predicting compatibility during communication based on pre-obtained resting-state brain functional data. Approximately 70 individuals participated in this study, and each participant underwent measurement of resting-state brain activity using functional magnetic resonance imaging (fMRI). On a later date, all participants gathered together and performed a task involving repeated conversations with each other for 3 minutes. The results showed that compatibility between individuals of the same gender and different genders could be predicted in information of different frequency bands. Additionally, by using the cooperative task of the Nintendo Switch game "Overcooked 2," it became possible to predict compatibility during cooperation.

Free Research Field

認知神経科学

Academic Significance and Societal Importance of the Research Achievements

本研究成果は，事前に取得したfMRIデータから異性間の予測（Kajimura et al., 2021）のみならず同性間の相性についても予測可能にするものである。健康診断などの社会的枠組みの中でfMRIデータを取得することができれば，学校や職場などにおける人間関係の選択やグルーピングの最適化をサポートすることが可能となる。