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Type of publication:Inproceedings
Entered by:MN
TitleTunnel Operator Training with a Conversational Agent-Assistant
Bibtex cite ID
Booktitle Proceedings of the 5th International Conference on Foundations of Augmented Cognition, Neuroergonomics and Operational Neuroscience (FAC 2009): Held as part of HCI International 2009
Year published 2009
Month July
Pages 575-584
Location 19-24 July 2009, San Diego, USA
Keywords Agent-Based Modeling and Training - Cognitive Modeling,Constructive Learning,Intelligent Virtual Agent
Abstract
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 operatorís 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.
Authors
BuiŽl, Eric
Lubbers, Jan
Topics
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