A study on recommendation systems using group brain activity

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K12182
• 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: University of Toyama
• Principal Investigator: Misawa Tadanobu 富山大学, 学術研究部工学系, 准教授 (90398991)
• Project Period (FY): 2019-04-01 – 2024-03-31
• Keywords: ニューロマーケティング

Outline of Final Research Achievements

In recent years, noninvasive brain function measurement techniques have been developed and human brain functions have been elucidated. These results have been applied to research on neuromarketing, which aims to elucidate purchase decision-making factors from the perspective of measuring brain functions. In this study, we explored the possibility of using group brain activity by constructing a recommendation system using group brain activity. Specifically, we experimented to measure the brain function of preference, which is related to purchase decision-making, and based on the results, we predicted the degree of preference. The results show that building a machine learning model using the results of multiple pre-processes improves prediction accuracy.

Free Research Field

情報工学

Academic Significance and Societal Importance of the Research Achievements

これまでの脳活動を用いたシステムでは，個人の脳活動を用いてモデルが構築されていることが多い．本研究では，脳活動から集団レベルの予測を行う手法の構築を目指すことで，脳活動を用いたシステムの精度向上や消費者が求める製品の開発への応用展開が期待できる．また，その他の生体信号を用いたシステムの高機能化への貢献が期待できる．以上より，本研究の成果はヒューマンセンシング技術の利用機会を促進し，現在のICTサービスを飛躍的に向上させることが期待できる．