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Theory of Mind and Trust in Human-Robot Navigation

Peter E. McKenna, Marta Romeo, Jhielson M. Pimentel, Mohammed Diab, Meriam Moujahid, Helen Hastie, Yiannis Demiris

发表年份
2023
引用次数
6

摘要

In human-robot interaction, trust is affected by human, robot, and environmental factors. In the proposed research, we consider each of these factors, by focusing on the contribution of robot theory of mind (ToM), human visual perspective taking (a concept related to ToM), and environmental complexity, to the development and maintenance of human-robot trust. To do so, our experiment combines a psychological assessment of visual perspective taking (the Director Task), with a trust-based robot navigation task. Using the AREA model of Responsible Research and Innovation (RRI), we also highlight the implications of our experiment, in the context of trustworthy robotics and human-robot collaboration. We round off the article with a theoretical and research development synopses related to robot ToM and trust, and future work to be conducted in this area.

关键词

RobotPerspective (graphical)Context (archaeology)Task (project management)Human–computer interactionHuman–robot interactionComputer scienceRoboticsArtificial intelligenceTheory of mind

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