Investigating Human-Robot Trust in Emergency Scenarios: Methodological Lessons Learned
Investigating Human-Robot Trust in Emergency Scenarios: Methodological Lessons Learned
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调查紧急情况下的人机信任：方法学经验教训
DOI：
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
A. Howard
中科院分区：
文献类型：
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作者：
P. Robinette;Alan R. Wagner;A. Howard
“信任”这个词有很多定义，根据环境和文化的不同而有所不同，所以询问参与者是否信任机器人并不像人们想象的那么简单。场景中所涉及的感知风险和问题的精确措辞可能会以实验者无意的方式影响研究结果。这一章展示了我们在770名人类受试者的人机实验中所学到的关于信任的教训。我们讨论了我们的工作发展叙述，描述信任情况以及人机交互模拟。这些实验范式指导了我们对信任、信任丧失和信任修复意义的研究。通过使用众包来定位和管理实验参与者，发现了相当大的意见多样性；然而，有几个考虑必须包括在内。从这些实验中得出的结论表明了参与者容易产生的偏见类型以及减轻这些偏见的技术。
The word “trust” has many definitions that vary based on context and culture, so asking participants if they trust a robot is not as straightforward as one might think. The perceived risk involved in a scenario and the precise wording of a question can bias the outcome of a study in ways that the experimenter did not intend. This chapter presents the lessons we have learned about trust while conducting human-robot experiments with 770 human subjects. We discuss our work developing narratives that describe trust situations as well as interactive human-robot simulations. These experimental paradigms have guided our research exploring the meaning of trust, trust loss, and trust repair. By using crowdsourcing to locate and manage experiment participants, considerable diversity of opinion is found; there are, however, several considerations that must be included. Conclusions drawn from these experiments demonstrate the types of biases that participants are prone to as well as techniques for mitigating these biases.