Attention Manipulation for Naval Tactical Picture Compilation

This paper discusses and evaluates an agent model that is able to manipulate the visual attention of a human, in order to support naval crew. The agent model consists of four submodels, including a model to reason about a subject’s attention. The model was evaluated based on a practical case study w...

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Veröffentlicht in:Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02 Jg. 2; S. 450 - 457
Hauptverfasser: Bosse, Tibor, Lambalgen, Rianne van, Maanen, Peter-Paul van, Treur, Jan
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: Washington, DC, USA IEEE Computer Society 15.09.2009
IEEE
Schriftenreihe:ACM Conferences
Schlagworte:
Computing methodologies > Artificial intelligence > Computer vision
Computing methodologies > Artificial intelligence > Computer vision > Computer vision tasks > Scene understanding
Computing methodologies > Artificial intelligence > Distributed artificial intelligence > Intelligent agents
Computing methodologies > Modeling and simulation > Model development and analysis
Computing methodologies > Modeling and simulation > Model development and analysis > Model verification and validation
Computing methodologies > Modeling and simulation > Model development and analysis > Modeling methodologies
Conferences
Human factors
Intelligent agent
Mathematical analysis
Mathematical model
Predictive models
Radar
Software agents
ISBN:0769538010, 9780769538013
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This paper discusses and evaluates an agent model that is able to manipulate the visual attention of a human, in order to support naval crew. The agent model consists of four submodels, including a model to reason about a subject’s attention. The model was evaluated based on a practical case study which was formally analysed and verified using automated checking tools. Results show how a human subject’s attention is manipulated by adjusting luminance, based on assessment of the subject’s attention. These first evaluations of the agent show a positive effect.
ISBN:0769538010
9780769538013
DOI:10.1109/WI-IAT.2009.194