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Exploring Factors Affecting User Trust Across Different Human-Robot Interaction Settings and Cultures

Abdullah Alzahrani, Simon Robinson Orcid Logo, Muneeb Ahmad Orcid Logo

HAI '22 - Proceedings of the 10th International Conference on Human-Agent Interaction, Pages: 123 - 131

Swansea University Authors: Abdullah Alzahrani, Simon Robinson Orcid Logo, Muneeb Ahmad Orcid Logo

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DOI (Published version): 10.1145/3527188.3561920

Abstract

Trust is one of the necessary factors for building a successful human-robot interaction (HRI). This paper investigated how human trust in robots differs across HRI scenarios in two cultures. We conducted two studies in two countries: Saudi Arabia (study 1) and the United Kingdom (study 2). Each stud...

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Published in: HAI '22 - Proceedings of the 10th International Conference on Human-Agent Interaction
ISBN: 978-1-4503-9323-2/22/12 978-1-4503-9323-2/22/12
Published: December 5--8, 2022, Christchurch, New Zealand ACM 2022
URI: https://cronfa.swan.ac.uk/Record/cronfa60811
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first_indexed 2022-08-23T09:29:12Z
last_indexed 2023-01-13T19:21:13Z
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spelling v2 60811 2022-08-15 Exploring Factors Affecting User Trust Across Different Human-Robot Interaction Settings and Cultures d2f9f67e9bfd515f861a917fe1d00321 Abdullah Alzahrani Abdullah Alzahrani true false cb3b57a21fa4e48ec633d6ba46455e91 0000-0001-9228-006X Simon Robinson Simon Robinson true false 9c42fd947397b1ad2bfa9107457974d5 0000-0001-8111-9967 Muneeb Ahmad Muneeb Ahmad true false 2022-08-15 Trust is one of the necessary factors for building a successful human-robot interaction (HRI). This paper investigated how human trust in robots differs across HRI scenarios in two cultures. We conducted two studies in two countries: Saudi Arabia (study 1) and the United Kingdom (study 2). Each study presented three HRI scenarios: a dog robot guiding people with sight impairments, a teleoperated robot in healthcare, and a manufacturing robot. Study 1 shows that participants' trust perception score (TPS) was significantly different across the three scenarios. However, Study 2 results show a slightly significant variation in TPS across the scenarios. We also found that the relevance of trust for a given task is an indicator of a participant's trust. Furthermore, the findings showed that trust scores or factors affecting users' trust vary across cultures. The findings identified novel factors that might affect human trust, such as controllability, usability and risk. The findings direct the HRI community to consider a dynamic and evolving design for modelling human-robot trust because factors affecting humans' trust are evolving and will vary across different settings and cultures. Conference Paper/Proceeding/Abstract HAI '22 - Proceedings of the 10th International Conference on Human-Agent Interaction 123 131 ACM December 5--8, 2022, Christchurch, New Zealand 978-1-4503-9323-2/22/12 978-1-4503-9323-2/22/12 Trust, culture, human-robot trust, factors affecting trust, human-robot interaction 4 12 2022 2022-12-04 10.1145/3527188.3561920 COLLEGE NANME COLLEGE CODE Swansea University 2024-06-13T09:51:43.0313225 2022-08-15T11:07:44.0723451 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Abdullah Alzahrani 1 Simon Robinson 0000-0001-9228-006X 2 Muneeb Ahmad 0000-0001-8111-9967 3
title Exploring Factors Affecting User Trust Across Different Human-Robot Interaction Settings and Cultures
spellingShingle Exploring Factors Affecting User Trust Across Different Human-Robot Interaction Settings and Cultures
Abdullah Alzahrani
Simon Robinson
Muneeb Ahmad
title_short Exploring Factors Affecting User Trust Across Different Human-Robot Interaction Settings and Cultures
title_full Exploring Factors Affecting User Trust Across Different Human-Robot Interaction Settings and Cultures
title_fullStr Exploring Factors Affecting User Trust Across Different Human-Robot Interaction Settings and Cultures
title_full_unstemmed Exploring Factors Affecting User Trust Across Different Human-Robot Interaction Settings and Cultures
title_sort Exploring Factors Affecting User Trust Across Different Human-Robot Interaction Settings and Cultures
author_id_str_mv d2f9f67e9bfd515f861a917fe1d00321
cb3b57a21fa4e48ec633d6ba46455e91
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author_id_fullname_str_mv d2f9f67e9bfd515f861a917fe1d00321_***_Abdullah Alzahrani
cb3b57a21fa4e48ec633d6ba46455e91_***_Simon Robinson
9c42fd947397b1ad2bfa9107457974d5_***_Muneeb Ahmad
author Abdullah Alzahrani
Simon Robinson
Muneeb Ahmad
author2 Abdullah Alzahrani
Simon Robinson
Muneeb Ahmad
format Conference Paper/Proceeding/Abstract
container_title HAI '22 - Proceedings of the 10th International Conference on Human-Agent Interaction
container_start_page 123
publishDate 2022
institution Swansea University
isbn 978-1-4503-9323-2/22/12
978-1-4503-9323-2/22/12
doi_str_mv 10.1145/3527188.3561920
publisher ACM
college_str Faculty of Science and Engineering
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hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
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description Trust is one of the necessary factors for building a successful human-robot interaction (HRI). This paper investigated how human trust in robots differs across HRI scenarios in two cultures. We conducted two studies in two countries: Saudi Arabia (study 1) and the United Kingdom (study 2). Each study presented three HRI scenarios: a dog robot guiding people with sight impairments, a teleoperated robot in healthcare, and a manufacturing robot. Study 1 shows that participants' trust perception score (TPS) was significantly different across the three scenarios. However, Study 2 results show a slightly significant variation in TPS across the scenarios. We also found that the relevance of trust for a given task is an indicator of a participant's trust. Furthermore, the findings showed that trust scores or factors affecting users' trust vary across cultures. The findings identified novel factors that might affect human trust, such as controllability, usability and risk. The findings direct the HRI community to consider a dynamic and evolving design for modelling human-robot trust because factors affecting humans' trust are evolving and will vary across different settings and cultures.
published_date 2022-12-04T09:51:44Z
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