Representation and reasoning for DAML-based policy and domain services in KAoS and nomads
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Joint Activity Testbed: Blocks World for Teams (BW4T)
ESAW '09 Proceedings of the 10th International Workshop on Engineering Societies in the Agents World X
Design and Evaluation of Explainable BDI Agents
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
The fundamental principle of coactive design: interdependence must shape autonomy
COIN@AAMAS'10 Proceedings of the 6th international conference on Coordination, organizations, institutions, and norms in agent systems
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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.