透明度和解释对人-机器人团队信任和情境意识的影响

IF 2.2 Q3 ENGINEERING, INDUSTRIAL Journal of Cognitive Engineering and Decision Making Pub Date : 2022-11-16 DOI:10.1177/15553434221136358
Akuadasuo Ezenyilimba, Margaret E. Wong, Alexander J. Hehr, Mustafa Demir, Alexandra T. Wolff, Erin K. Chiou, Nancy J. Cooke
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引用次数: 7

摘要

城市搜索和救援(USAR)任务继续受益于人机团队(hrt)的结合。USAR环境可能是模糊的、危险的和不稳定的。将机器人队友整合到USAR任务中,使人类队友能够进入不确定的区域,包括危险区域。为了使hrt有效,理解影响团队效率的因素是相关的,比如有共同的目标、相互理解和有效的沟通。我们研究的目的是确定如何(1)更好地建立人类信任,(2)确定机器人透明度和机器人解释的有用水平,(3)确保态势感知,以及(4)鼓励团队成员之间的两党合作。通过实现机器人透明度和机器人解释,我们发现有效hrt的驱动因素依赖于情境驱动的机器人解释,并且人类队友很容易获得。
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Impact of Transparency and Explanations on Trust and Situation Awareness in Human–Robot Teams
Urban Search and Rescue (USAR) missions continue to benefit from the incorporation of human–robot teams (HRTs). USAR environments can be ambiguous, hazardous, and unstable. The integration of robot teammates into USAR missions has enabled human teammates to access areas of uncertainty, including hazardous locations. For HRTs to be effective, it is pertinent to understand the factors that influence team effectiveness, such as having shared goals, mutual understanding, and efficient communication. The purpose of our research is to determine how to (1) better establish human trust, (2) identify useful levels of robot transparency and robot explanations, (3) ensure situation awareness, and (4) encourage a bipartisan role amongst teammates. By implementing robot transparency and robot explanations, we found that the driving factors for effective HRTs rely on robot explanations that are context-driven and are readily available to the human teammate.
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来源期刊
CiteScore
4.60
自引率
10.00%
发文量
21
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