A theoretical model to explain mixed effects of trust repair strategies in autonomous systems

被引:0
作者
Pak, Richard [1 ]
Rovira, Ericka [2 ]
机构
[1] Clemson Univ, Dept Psychol, Clemson, SC 29634 USA
[2] US Mil Acad, Dept Behav Sci & Leadership, West Point, NY USA
关键词
Trust repair; elaboration likelihood model; individual differences; automation; autonomy; robots; human-autonomous teams;
D O I
暂无
中图分类号
TB18 [人体工程学];
学科分类号
1201 ;
摘要
The topic of an autonomous system initiating trust repair has generated intense interest from researchers and has led to a stream of empirical works studying the impact of different trust repair strategies. Unfortunately, there does not seem to be a clear pattern of results or systematicity in the experimental manipulations. This is likely due to a lack of a coherent model or theoretical framework of trust repair. We present a possible theoretical model that may explain and predict how different trust repair strategies may work with different autonomous systems, in different situations, and with different people. We have adapted and applied a well-established social cognition theory that has successfully explained and predicted complex attitudinal and behavioural phenomena. The model suggests that significant variance in trust repair results may be partly due to individual differences (e.g. motivation, cognitive abilities), which have not been extensively examined in the literature, and confounded or uncontrolled study parameters (e.g. timing of trust measurement, repair frequency, workload). We hope that this theoretical model stimulates discussion toward a more theory-driven trust repair research agenda to understand basic underlying mechanisms.
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页数:21
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