减少对失败机器人系统的过度信任

2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI) Pub Date : 2019-03-01 DOI:10.1109/HRI.2019.8673235

Anders B. H. Christensen, C. R. Dam, Corentin Rasle, Jacob E. Bauer, Ramlo A. Mohamed, L. Jensen

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引用次数: 5

摘要

一般来说，人们倾向于过于信任机器人系统，在紧急情况下也是如此。我们的研究试图找到减少这种过度信任的方法，方法是让机器人在引导被蒙住眼睛的参与者走过迷宫时发出错误的声音警告。结果表明，测试的声音警告在减少过度信任方面没有效果，但我们鼓励进一步测试类似的警告，以充分探索其潜在的效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Reducing Overtrust in Failing Robotic Systems

In general, people tend to place too much trust in robotic systems, also in emergency situations. Our study attempts to discover ways of reducing this overtrust, by adding vocal warnings of error from a robot that guides participants blindfolded through a maze. The results indicate that the tested vocal warnings have no effect in reducing overtrust, but we encourage further testing of similar warnings to fully explore its potential effects.

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来源期刊

2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

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