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An Integrated Agent Model for Attention and Functional State

  • Tibor Bosse
  • Rianne van Lambalgen
  • Peter-Paul van Maanen
  • Jan Treur
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7345)

Abstract

To provide personalized intelligent ambient support for persons performing demanding tasks, it is important to have insight in their state of attention. Existing models for attention have difficulties in distinguishing between stressed and relaxed states. To solve this problem, this paper proposes to extend an existing model for attention with a model for ‘functional state’. In this integrated agent model, output of a functional state model (experienced pressure) serves as input for the attention model; the overall amount of attention is dependent on the amount of experienced pressure. An experiment was conducted to test the validity of the integrated agent model against the validity of an earlier model based on attention only. Results pointed out that the integrated model had a higher validity than the earlier model and was more successful in predicting attention.

Keywords

Task Demand Attention Model Situational Demand Radar Screen High Task Demand 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tibor Bosse
    • 1
  • Rianne van Lambalgen
    • 1
  • Peter-Paul van Maanen
    • 1
    • 2
  • Jan Treur
    • 1
  1. 1.Department of Artificial IntelligenceVrije Universiteit AmsterdamAmsterdamThe Netherlands
  2. 2.TNO Human FactorsSoesterbergThe Netherlands

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