Toward an Understanding of Trust Repair in Human-Robot Interaction

Author:

Baker Anthony L.1,Phillips Elizabeth K.2,Ullman Daniel2,Keebler Joseph R.1

Affiliation:

1. Embry-Riddle Aeronautical University, Daytona Beach, FL

2. Brown University, Providence, RI

Abstract

Gone are the days of robots solely operating in isolation, without direct interaction with people. Rather, robots are increasingly being deployed in environments and roles that require complex social interaction with humans. The implementation of human-robot teams continues to increase as technology develops in tandem with the state of human-robot interaction (HRI) research. Trust, a major component of human interaction, is an important facet of HRI. However, the ideas of trust repair and trust violations are understudied in the HRI literature. Trust repair is the activity of rebuilding trust after one party breaks the trust of another. These trust breaks are referred to as trust violations . Just as with humans, trust violations with robots are inevitable; as a result, a clear understanding of the process of HRI trust repair must be developed in order to ensure that a human-robot team can continue to perform well after a trust violation. Previous research on human-automation trust and human-human trust can serve as starting places for exploring trust repair in HRI. Although existing models of human-automation and human-human trust are helpful, they do not account for some of the complexities of building and maintaining trust in unique relationships between humans and robots. The purpose of this article is to provide a foundation for exploring human-robot trust repair by drawing upon prior work in the human-robot, human-automation, and human-human trust literature, concluding with recommendations for advancing this body of work.

Publisher

Association for Computing Machinery (ACM)

Subject

Artificial Intelligence,Human-Computer Interaction

Cited by 77 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Trust Development and Repair in AI-Assisted Decision-Making during Complementary Expertise;The 2024 ACM Conference on Fairness, Accountability, and Transparency;2024-06-03

2. Human-AI interaction: Augmenting decision-making for IT leader's project selection;Information Development;2024-05-21

3. Toward a Framework for Trust Building between Humans and Robots in the Construction Industry: A Systematic Review of Current Research and Future Directions;Journal of Computing in Civil Engineering;2024-05

4. Humanzentrierte Implementierung von (teil-)autonomen Drohnen;Zeitschrift für wirtschaftlichen Fabrikbetrieb;2024-04-30

5. "Sorry to Keep You Waiting": Recovering from Negative Consequences Resulting from Service Robot Unintended Rejection;Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction;2024-03-11

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3