Tunnel operator training with a conversational agent-assistant
conference paper
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. © 2009 Springer.
Topics
TNO Identifier
352077
ISSN
03029743
ISBN
364202811X 9783642028113
Source title
5th International Conference on Foundations of Augmented Cognition, FAC 2009, Held as Part of HCI International 2009, 19 July 2009 through 24 July 2009, San Diego, CA. ference code: 80160
Pages
575-584
Files
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