人- agent团队中的解释与协调:基于BW4T试验台的研究

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Pub Date : 2011-08-22 DOI:10.1109/WI-IAT.2011.83

M. Harbers, J. Bradshaw, Matt Johnson, P. Feltovich, K. Bosch, J. Meyer

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引用次数: 12

摘要

在一些应用程序中，人类和代理共同执行任务。如果任务涉及团队成员之间的相互依赖，则需要协调以实现良好的团队绩效。通过让人类了解代理的行为，可以改善人-代理团队的协调。当人类能够理解和预测代理的行为时，他们可以更容易地调整自己的行为以适应代理的行为。实现这种理解的一种方法是让代理人解释他们的行为。本文在BW4T协调测试平台上进行了一项研究，该研究检验了在人-agent团队中，agent解释其行为对协调的影响。结果表明，对座席行为的解释并不总是导致更好的团队绩效，但它们确实以积极的方式影响用户体验。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Explanation and Coordination in Human-Agent Teams: A Study in the BW4T Testbed

There are several applications in which humans and agents jointly perform a task. If the task involves interdependence among the team members, coordination is required to achieve good team performance. Coordination in human-agent teams can be improved by giving humans insight in the behavior of the agents. When humans are able to understand and predict an agent's behavior, they can more easily adapt their own behavior to that of the agent. One way to achieve such understanding is by letting agents explain their behavior. This paper presents a study in the BW4T coordination test bed that examines the effects of agents explaining their behavior on coordination in human-agent teams. The results show that explanations about agent behavior do not always lead to better team performance, but they do impact user experience in a positive way.

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来源期刊

2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology

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