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Understanding and Resolving Failures in Human-Robot Interaction: Literature Review and Model Development

机译:理解和解决人机交互中的失败:文献综述和模型开发

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摘要

While substantial effort has been invested in making robots more reliable, experience demonstrates that robots operating in unstructured environments are often challenged by frequent failures. Despite this, robots have not yet reached a level of design that allows effective management of faulty or unexpected behavior by untrained users. To understand why this may be the case, an in-depth literature review was done to explore when people perceive and resolve robot failures, how robots communicate failure, how failures influence people's perceptions and feelings toward robots, and how these effects can be mitigated. Fifty-two studies were identified relating to communicating failures and their causes, the influence of failures on human-robot interaction (HRI), and mitigating failures. Since little research has been done on these topics within the HRI community, insights from the fields of human computer interaction (HCI), human factors engineering, cognitive engineering and experimental psychology are presented and discussed. Based on the literature, we developed a model of information processing for robotic failures (Robot Failure Human Information Processing, RF-HIP), that guides the discussion of our findings. The model describes the way people perceive, process, and act on failures in human robot interaction. The model includes three main parts: (1) communicating failures, (2) perception and comprehension of failures, and (3) solving failures. Each part contains several stages, all influenced by contextual considerations and mitigation strategies. Several gaps in the literature have become evident as a result of this evaluation. More focus has been given to technical failures than interaction failures. Few studies focused on human errors, on communicating failures, or the cognitive, psychological, and social determinants that impact the design of mitigation strategies. By providing the stages of human information processing, RF-HIP can be used as a tool to promote the development of user-centered failure-handling strategies for HRIs.
机译:尽管已投入大量精力使机器人更加可靠,但经验表明,在非结构化环境中运行的机器人经常会遭受频繁故障的挑战。尽管如此,机器人尚未达到允许未经训练的用户有效管理错误或意外行为的设计水平。为了理解为什么会如此,我们进行了深入的文献综述,以探索人们何时感知并解决机器人故障,机器人如何传达故障,故障如何影响人们对机器人的感知和感受以及如何减轻这些影响。开展了52项研究,这些研究涉及交流失败及其原因,失败对人机交互(HRI)的影响以及缓解失败的相关研究。由于在HRI社区中对这些主题的研究很少,因此提出并讨论了来自人机交互(HCI),人为因素工程,认知工程和实验心理学领域的见解。根据文献,我们开发了一种针对机器人故障的信息处理模型(Robot Failure Human Information Processing,RF-HIP),该模型可指导对我们的发现进行讨论。该模型描述了人们在人机交互中感知,处理和应对故障的方式。该模型包括三个主要部分:(1)传达故障,(2)对故障的感知和理解,以及(3)解决故障。每个部分都包含几个阶段,所有阶段都受上下文因素和缓解策略的影响。这项评估的结果表明,文献中存在一些空白。与交互故障相比,对技术故障的关注更多。很少有研究关注人为错误,沟通失败或影响缓解策略设计的认知,心理和社会决定因素。通过提供人类信息处理的各个阶段,RF-HIP可用作促进HRI的以用户为中心的故障处理策略发展的工具。

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