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Homophily, a person's bias for having ties with people who are similar to themselves in social ways, has a vital role in creating a social connection between people. Studying homophily in human-robot interactions can provide valuable insights for improving those interactions. In this paper, we investigate whether similar interests have a positive effect on a human-robot interaction similar to the positive impact it can have on human-human interaction. We explore whether sharing similar interests can affect trust. This experiment consisted of two NAO robots; each gave differing speeches. For each participant, their national origin was asked in the pre-questionnaire, and during the sessions, one of the robot's topics was either personalized or not to their national origin. Since one robot shared a familiar topic, we expected to observe bonding between humans and the robot. We gathered data from a post-questionnaire and analyzed them. The results summarize the hypotheses here. We conclude that homophily plays a significant role in human-robot interaction, affecting trust in a robot partner.
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Blaming yourself, your partner, or an unexpected event: Attribution biases and trust in a physical coordination task
Abstract As robots enabled by artificial intelligence become more agentic, people may come to develop trust schemas based on a robot's actions and attribute blame to the robot as they would with a human partner. Trust and blame have yet to be investigated during dynamic physical coordination tasks despite the potential ramifications for manufacturing and service industries that could benefit from effective human–robot physical coordination. In anticipation of future human–robot work configurations, we developed a joint physical coordination task as a preliminary test environment for understanding trust and blame in a work partner. Fifty‐five participants were asked to jointly balance and transport a weighted box along a fixed path, and we used this test environment to evaluate the impact of a surprising event on trust in a work partner, and attribution of blame following a negative performance outcome. Results indicate that the group who experienced a surprising event compared to the group who did not trusted their partner more, but there was no difference in the attribution of blame to themselves, their partner, or to the surprising event. Conversely, the group who did not experience a surprising event tended to blame themselves for the negative outcome. These findings suggest that environmental uncertainty may prompt people's attribution of blame across multiple parties, including themselves. Moreover, people may build trust in work partners through the shared experience of surprising events. Future work would benefit from adopting our study design to investigate whether these findings are extendable to human–robot joint actors.
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- Award ID(s):
- 2231874
- PAR ID:
- 10515588
- Publisher / Repository:
- Wiley
- Date Published:
- Journal Name:
- Human Factors and Ergonomics in Manufacturing & Service Industries
- Volume:
- 33
- Issue:
- 5
- ISSN:
- 1090-8471
- Page Range / eLocation ID:
- 379 to 394
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript
- Journal Article:
- https://doi.org/10.1002/hfm.20998
