Development of Emotion-Inclusive Hybrid Interactive Systems: Bridging Human-Machine Interactions with Human-like Qualities

2022 Fiscal Year Final Research Report

• Project/Area Number: 21K19762
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 60:Information science, computer engineering, and related fields
• Research Institution: The University of Electro-Communications
• Principal Investigator: Kogiso Kiminao 電気通信大学, 大学院情報理工学研究科, 准教授 (30379549)
• Project Period (FY): 2021-07-09 – 2023-03-31
• Keywords: インタラクション / モデリング / 動的システム / ゲームモデル / 感情 / 意思決定

Outline of Final Research Achievements

This study focused on human-machine-information environment systems, and aimed at elucidating the hybrid interaction between "information" and "force" that contributes to motion support and capability expansion with consideration of human preferences and motivation from a systems theory perspective. We were focused on the development of a decision-making model that incorporates emotion and control technology for force interaction with pneumatic drive systems to elucidate the nature of hybrid interaction from a systems-theoretic perspective. We investigated non-cooperative game models that can express human-like characteristics and include information asymmetry and preference uncertainty. We also investigated the feasibility of more natural and effective interaction between humans and machines by applying incentive control to these models.

Free Research Field

制御工学

Academic Significance and Societal Importance of the Research Achievements

本研究は，人間と機械のより自然な相互作用を促進する技術の開発に焦点を当てた．制御技術と感情を取り入れた意思決定モデルの開発により，ヒトと機械の相互理解と協調性が向上するシステム論が確立できる．これは，製造業や医療、介護等の分野でのロボットの活用拡大に寄与し，社会全体の生産性向上や労働力不足の解消につながる．また，非協力ゲームのモデル化によるインセンティブ制御は，情報の非対称性や選好の不確実性を考慮した効果的な意思決定を可能にし，社会的な問題解決に役立つことが期待できる．