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社会的支援ロボットarXiv:2305.05115

誰が何を知っているかを知る:相互記憶システムを用いた社会的支援ロボットの設計

Knowing Who Knows What: Designing Socially Assistive Robots with Transactive Memory System

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集団コミュニケーション理論である相互記憶システム(TMS)の符号化・貯蔵・検索の3段階を社会的支援ロボットの設計に適用し、複数関係者間での意思決定の改善と行動の透明性向上を図る枠組みを提案した。

著者: Yaxin Hu, Laura Stegner, Bilge Mutlu

分類: cs.HC, cs.RO

原文アブストラクト

Transactive Memory System (TMS) is a group theory that describes how communication can enable the combination of individual minds into a group. While this theory has been extensively studied in human-human groups, it has not yet been formally applied to socially assistive robot design. We demonstrate how the three-phase TMS group communication process-which involves encoding, storage, and retrieval-can be leveraged to improve decision making in socially assistive robots with multiple stakeholders. By clearly defining how the robot is gaining information, storing and updating its memory, and retrieving information from its memory, we believe that socially assistive robots can make better decisions and provide more transparency behind their actions in the group context. Bringing communication theory to robot design can provide a clear framework to help robots integrate better into human-human group dynamics and thus improve their acceptance and use.

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