Transparency in HRI: Trust and Decision Making in the Face of Robot Errors
Transparency in HRI: Trust and Decision Making in the Face of Robot Errors
复制标题
HRI 的透明度：面对机器人错误时的信任和决策
DOI：
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
Helen F. Hastie
中科院分区：
文献类型：
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作者：
Birthe Nesset;D. A. Robb;José Lopes;Helen F. Hastie
近年来，机器人正迅速得到人们的接受，公众、工业界和研究人员开始了解机器人的用途，例如用于家庭或医院的送货。然而，了解如何向用户灌输适当的信任是关键。值得信赖的系统的一个方面是它能够解释操作并保持透明，特别是在面对潜在的严重错误时。在这里，我们研究了互动透明度的各个方面及其在机器人在疑似Covid-19患者到达医院时进行分诊的情况下的影响。我们的发现巩固了先前的研究，表明机器人错误对信任的主要影响，但也表明这取决于透明度的水平。此外，我们的研究结果表明，高互动透明度导致参与者根据他们的互动对他们的健康做出更明智的决定。这些关于透明度的发现可以为交互设计提供信息，从而在健康和福祉等关键领域更多地采用机器人。
Robots are rapidly gaining acceptance in recent times, where the general public, industry and researchers are starting to understand the utility of robots, for example for delivery to homes or in hospitals. However, it is key to understand how to instil the appropriate amount of trust in the user. One aspect of a trustworthy system is its ability to explain actions and be transparent, especially in the face of potentially serious errors. Here, we study the various aspects of transparency of interaction and its effect in a scenario where a robot is performing triage when a suspected Covid-19 patient arrives at a hospital. Our findings consolidate prior work showing a main effect of robot errors on trust, but also showing that this is dependent on the level of transparency. Furthermore, our findings indicate that high interaction transparency leads to participants making better informed decisions on their health based on their interaction. Such findings on transparency could inform interaction design and thus lead to greater adoption of robots in key areas, such as health and well-being.
影响因子：
4.6
作者：
Vanderbilt KE;Liu D;Heyman GD
通讯作者：
Heyman GD