Conceptualizing Overtrust in Robots: Why Do People Trust a Robot That Previously Failed?
Conceptualizing Overtrust in Robots: Why Do People Trust a Robot That Previously Failed?
复制标题
概念化对机器人的过度信任：为什么人们信任以前失败的机器人？
DOI：
10.1007/978-3-319-59719-5_6
复制
发表时间：
2017
影响因子：
7.2
通讯作者：
Alan R. Wagner
中科院分区：
文献类型：
--
作者：
P. Robinette;A. Howard;Alan R. Wagner
在本章中，我们提出的工作表明人们在某些情况下倾向于过于信任和过于宽容机器人，这与本书的主题保持一致，智能系统可以帮助人类从错误中恢复过来，我们的工作迄今为止都集中在机器人上在紧急情况下的指南。我们指导信息，最糟糕的是，即使机器人确实破坏了信任，机器人也比其他信息来源更有能力。使用我们以前的情境信任框架的机器人。我们根据这种新的重新概念化讨论了我们先前的工作，以试图解释我们以前的结果并鼓励未来的工作。
In this chapter, we present work that suggests people tend to be overly trusting and overly forgiving of robots in certain situations. In keeping with the theme of this book where intelligent systems help humans recover from errors, our work so far has focused on robots as guides in emergency situations. Our experiments show that, at best, human participants in our simulated emergencies focus on guidance provided by robots, regardless of a robot’s prior performance or other guidance information, and, at worst, believe that the robot is more capable than other sources of information. Even when the robots do break trust, a properly timed statement can convince a participant to follow it. Based on this evidence, we have conceptualized overtrust of robots using our previous framework of situational trust. We define two mechanisms in which people can overtrust robots: misjudging the abilities or intentions of the robot and misjudging the risk in the scenario. We discuss our prior work in light of this new reconceptualization to attempt to explain our previous results and encourage future work.