The Apple Does Fall Far from the Tree: User Separation of a System from its Developers in Human-Automation Trust Repair

被引:21
作者
Jensen, Theodore [1 ]
Albayram, Yusuf [1 ]
Khan, Mohammad Maifi Hasan [1 ]
Al Fahim, Md Abdullah [1 ]
Buck, Ross [2 ]
Coman, Emil [3 ]
机构
[1] Univ Connecticut, Dept Comp Sci & Engn, Storrs, CT 06269 USA
[2] Univ Connecticut, Dept Commun, Storrs, CT USA
[3] Univ Connecticut, Hlth Ctr, Hlth Dispar Inst, Hartford, CT USA
来源
PROCEEDINGS OF THE 2019 ACM DESIGNING INTERACTIVE SYSTEMS CONFERENCE (DIS 2019) | 2019年
关键词
Trust repair; human-automation trust; blame; attribution theory; RESPONSIBILITY; ATTRIBUTIONS; SCAPEGOATS; COMPUTERS;
D O I
10.1145/3322276.3322349
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
To promote safe and effective human-computer interactions, researchers have begun studying mechanisms for "trust repair" in response to automated system errors. The extent to which users distinguish between a system and the system's developers may be an important factor in the efficacy of trust repair messages. To investigate this, we conducted a 2 (reliability) x 3 (blame) between-group, factorial study. Participants interacted with a high or low reliability automated system that attributed blame for errors internally ("I was not able..."), pseudo-externally ("The developers were not able..."), or externally ("A third-party algorithm that I used was not able..."). We found that pseudo-external blame and internal blame influenced subjective trust differently, suggesting that the system and its developers represent distinct trustees. We discuss the implications of our findings for the design and study of humanautomation trust repair.
引用
收藏
页码:1071 / 1082
页数:12
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