归属
能力(人力资源)
拒绝
分类
语法
计算机科学
心理学
人机交互
认知心理学
人工智能
社会心理学
精神分析
作者
Xinyi Zhang,Sun Kyong Lee,Whani Kim,Sowon Hahn
标识
DOI:10.1016/j.ijhcs.2023.103031
摘要
The current study develops a three-fold categorization (i.e., logic, semantic, and syntax failures) for technical failures that are commonly observed in human-robot interactions (HRI), and investigates it along with four trust repair strategies: internal-attribution apology, external-attribution apology, denial, and no repair. The 743 observations conducted through an online experiment reveal some nuances in participants' perceprions of competence- and integrity-based trust violations, which may reflect ontological differences between humans and machines. The analysis also shows significant main effects of failure types and repair methods on HRI-based trust.
科研通智能强力驱动
Strongly Powered by AbleSci AI