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Exploring Human-Robot Trust Through the Investment Game: An Immersive Space Mission Scenario

Authors:

Sebastian Zörner,

Florian Schmalzl,

Ankit Srivastava,

Brenda Vasiljevic,

Stefan WermterAuthors Info & Claims

HAI '20: Proceedings of the 8th International Conference on Human-Agent Interaction

Pages 121 - 130

https://doi.org/10.1145/3406499.3415078

Published: 10 November 2020 Publication History

Abstract

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 utilise 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 (p=0.02)between self-assessed trust and trust measured from the game and a positive impact of non-verbal communication on trust (p=0.0008) and robot perception for anthropomorphism (p=0.007) and animacy (p=0.00002). 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.

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Cited By

Velner EBeelen TSchadenberg BOrdelman RHuibers TTruong KEvers V(2024)‘Uhm... Are you sure?’ An Exploratory Study of Trust Indicators in Robot-Directed Child SpeechProceedings of the 24th ACM International Conference on Intelligent Virtual Agents10.1145/3652988.3673933(1-4)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3652988.3673933
Alhaji BBüttner SSanjay Kumar SPrilla M(2024)Trust dynamics in human interaction with an industrial robotBehaviour & Information Technology10.1080/0144929X.2024.2316284(1-23)Online publication date: 16-Feb-2024
https://doi.org/10.1080/0144929X.2024.2316284
Sato YFukuda HUeda K(2022)Can Vicarious Agents follow the Intent of Clients’ Orders in Making Risk Judgments?Proceedings of the 10th International Conference on Human-Agent Interaction10.1145/3527188.3563912(314-317)Online publication date: 5-Dec-2022
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Index Terms

Exploring Human-Robot Trust Through the Investment Game: An Immersive Space Mission Scenario
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. HCI design and evaluation methods

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cover image ACM Conferences

HAI '20: Proceedings of the 8th International Conference on Human-Agent Interaction

November 2020

304 pages

ISBN:9781450380546

DOI:10.1145/3406499

General Chairs:
Mohammad Obaid
Chalmers University of Technology, Sweden
,
Omar Mubin
Western Sydney University, Australia
,
Yukie Nagai
The University of Tokyo, Japan
,
Program Chairs:
Hirotaka Osawa
University of Tsukuba, Japan
,
Yomna Abdelrahman
Bundeswehr University Munich, Germany
,
Morten Fjeld
Chalmers University of Technology, Sweden

Copyright © 2020 Owner/Author.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike International 4.0 License.

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Published: 10 November 2020

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HAI '20

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HAI '20: 8th International Conference on Human-Agent Interaction

November 10 - 13, 2020

Virtual Event, USA

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Cited By

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https://dl.acm.org/doi/10.1145/3652988.3673933
Alhaji BBüttner SSanjay Kumar SPrilla M(2024)Trust dynamics in human interaction with an industrial robotBehaviour & Information Technology10.1080/0144929X.2024.2316284(1-23)Online publication date: 16-Feb-2024
https://doi.org/10.1080/0144929X.2024.2316284
Sato YFukuda HUeda K(2022)Can Vicarious Agents follow the Intent of Clients’ Orders in Making Risk Judgments?Proceedings of the 10th International Conference on Human-Agent Interaction10.1145/3527188.3563912(314-317)Online publication date: 5-Dec-2022
https://dl.acm.org/doi/10.1145/3527188.3563912
Saßmannshausen TBurggräf PHassenzahl MWagner J(2022)Human trust in otherware – a systematic literature review bringing all antecedents togetherErgonomics10.1080/00140139.2022.212063466:7(976-998)Online publication date: 14-Sep-2022
https://doi.org/10.1080/00140139.2022.2120634
Ruocco MMou WCangelosi AJay CZanatto D(2021)Theory of Mind Improves Human’s Trust in an Iterative Human-Robot GameProceedings of the 9th International Conference on Human-Agent Interaction10.1145/3472307.3484176(227-234)Online publication date: 9-Nov-2021
https://dl.acm.org/doi/10.1145/3472307.3484176
Sun LLi ZZhang YLiu YLou SZhou Z(2021)Capturing the Trends, Applications, Issues, and Potential Strategies of Designing Transparent AI AgentsExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451819(1-8)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451819

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