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Gracefully mitigating breakdowns in robotic services

机译:优雅地缓解机器人服务故障

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Robots that operate in the real world will make mistakes. Thus, those who design and build systems will need to understand how best to provide ways for robots to mitigate those mistakes. Building on diverse research literatures, we consider how to mitigate breakdowns in services provided by robots. Expectancy-setting strategies forewarn people of a robot's limitations so people will expect mistakes. Recovery strategies, including apologies, compensation, and options for the user, aim to reduce the negative consequence of breakdowns. We tested these strategies in an online scenario study with 317 participants. A breakdown in robotic service had severe impact on evaluations of the service and the robot, but forewarning and recovery strategies reduced the negative impact of the breakdown. People's orientation toward services influenced which recovery strategy worked best. Those with a relational orientation responded best to an apology; those with a utilitarian orientation responded best to compensation. We discuss robotic service design to mitigate service problems.
机译:在现实世界中运行的机器人会犯错误。因此,设计和构建系统的人员将需要了解如何最好地为机器人提供减轻这些错误的方法。基于各种研究文献,我们考虑如何减轻机器人提供的服务故障。期望值设定策略可以使人们意识到机器人的局限性,因此人们会期待错误。恢复策略(包括道歉,补偿和用户选择)旨在减少故障的负面影响。我们在317名参与者的在线情景研究中测试了这些策略。机械手服务的故障对服务和机械手的评估产生了严重影响,但是预警和恢复策略减少了故障的负面影响。人们对服务的重视程度影响了哪种恢复策略效果最好。那些有关系倾向的人对道歉的反应最好。那些有功利主义倾向的人对补偿的反应最好。我们讨论了机器人服务设计以减轻服务问题。

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