The media equation: how people treat computers, television, and new media like real people and places
Embodied agents for multi-party dialogue in immersive virtual worlds
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Toward a New Generation of Virtual Humans for Interactive Experiences
IEEE Intelligent Systems
Establishing and maintaining long-term human-computer relationships
ACM Transactions on Computer-Human Interaction (TOCHI)
e-Learning and the Science of Instruction: Proven Guidelines for Consumers and Designers of Multimedia Learning
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A tunnel operator monitors and regulates the flow of traffic inside a tunnel. Tunnel operators need to train in a simulator regularly in order to maintain proficiency in handling incident situations. During quiet working hours, the operator has enough time for training. But generally at that time no instructor or colleague operators are present to provide instruction, advises, and feedback. As a solution, we have designed an automated training system. The system employs a conversational agent which supports the operator's situation assessment tasks. The agent exhibits peer behavior which is unobtrusively directed by didactic strategies. In this paper we present the design, development and application of the agent.