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An Immersive Investment Game to Study Human-Robot Trust.

Author
Abstract
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As robots become more advanced and capable, developing trust is an important factor of human-robot interaction and cooperation. However, as multiple environmental and social factors can influence trust, it is important to develop more elaborate scenarios and methods to measure human-robot trust. A widely used measurement of trust in social science is the . In this study, we propose a scaled-up, immersive, science fiction Human-Robot Interaction (HRI) scenario for intrinsic motivation on human-robot collaboration, built upon the investment game and aimed at adapting the investment game for human-robot trust. For this purpose, we utilize two Neuro-Inspired COmpanion (NICO) - robots and a projected scenery. We investigate the applicability of our space mission experiment design to measure trust and the impact of non-verbal communication. We observe a correlation of 0.43 ( ) between self-assessed trust and trust measured from the game, and a positive impact of non-verbal communication on trust ( ) and robot perception for anthropomorphism ( ) and animacy ( ). We conclude that our scenario is an appropriate method to measure trust in human-robot interaction and also to study how non-verbal communication influences a human's trust in robots.

Year of Publication
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0
Journal
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Frontiers in robotics and AI
Volume
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8
Number of Pages
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644529
Date Published
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2021
URL
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https://doi.org/10.3389/frobt.2021.644529
DOI
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10.3389/frobt.2021.644529
Short Title
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Front Robot AI
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