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社会的支援ロボットarXiv:2304.08885

社会参加型設計ワークショップから見る実環境での意思決定を行う社会的支援ロボット

Socially Assistive Robots as Decision Makers in the Wild: Insights from a Participatory Design Workshop

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30名参加の5回の参加型設計ワークショップを通じ、実環境で社会的支援ロボットが意思決定する際の課題と設計指針を5つの方向性として整理した。

著者: Eshtiak Ahmed, Laura Cosio, Juho Hamari, Oğuz 'Oz' Buruk

分類: cs.RO, cs.HC

原文アブストラクト

Socially Assistive Robots (SARs) are becoming very popular every day because of their effectiveness in handling social situations. However, social robots are perceived as intelligent, and thus their decision-making process might have a significant effect on how they are perceived and how effective they are. In this paper, we present the findings from a participatory design study consisting of 5 design workshops with 30 participants, focusing on several decision-making scenarios of SARs in the wild. Through the findings of the PD study, we have discussed 5 directions that could aid the design of decision-making systems of SARs in the wild.

関連論文

PR本紙発行元 EmplifAI