Tunnel Operator Training with a Conversational Agent-Assistant

Autor:	T.J. Muller, Jan Lubbers, Eric Buiel, Willem van Doesburg
Rok vydání:	2009
Předmět:	Cognitive model Working hours Operator (computer programming) Human–computer interaction Computer science Operator training QUIET Training system Dialog system computer.software_genre computer Simulation Situation analysis
Zdroj:	Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience ISBN: 9783642028113 HCI (16)
DOI:	10.1007/978-3-642-02812-0_66
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0d8c76ace1f87d3042d1067fa128a712 https://doi.org/10.1007/978-3-642-02812-0_66 Zobrazit plný text záznamu