Explanation and coordination in human-agent teams: A study in the BW4T testbed
van den Bosch, K.
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 testbed 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. © 2011 IEEE.
To reference this document use:
TPI - Training & Performance Innovations
BSS - Behavioural and Societal Sciences
2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011, 22 August 2011 through 27 August 2011, Lyon, 3, 17-20
Proceedings - 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011
Sponsors: IEEE Computer Society; Web Intelligence Consortium (WIC); Association for Computing Machinery (ACM); CNRS; Region Rhone Alpes; Artificial Intelligence Journal