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An Immersive Investment Game to Study Human-Robot Trust

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 w...

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Detalles Bibliográficos
Autores principales: Zörner, Sebastian, Arts, Emy, Vasiljevic, Brenda, Srivastava, Ankit, Schmalzl, Florian, Mir, Glareh, Bhatia, Kavish, Strahl, Erik, Peters, Annika, Alpay, Tayfun, Wermter, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8211980/
https://www.ncbi.nlm.nih.gov/pubmed/34150857
http://dx.doi.org/10.3389/frobt.2021.644529
Descripción
Sumario: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 investment game. 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 ([Formula: see text]) between self-assessed trust and trust measured from the game, and a positive impact of non-verbal communication on trust ([Formula: see text]) and robot perception for anthropomorphism ([Formula: see text]) and animacy ([Formula: see text]). 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.