An Integrated Agent Model for Attention and Functional State
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.
KeywordsTask Demand Attention Model Situational Demand Radar Screen High Task Demand
Unable to display preview. Download preview PDF.
- 1.Aarts, E., Harwig, R., Schuurmans, M.: Ambient Intelligence. In: Denning, P. (ed.) The Invisible Future, pp. 235–250. McGraw Hill, New York (2001)Google Scholar
- 2.Bosse, T., Both, F., Hoogendoorn, M., Jaffry, S.W., Lambalgen, R., van Oorburg, R., Sharpanskykh, R., Treur, J., De Vos, M.: Design and Validation of a Model for a Human’s Functional State and Performance. International Journal of Modeling, Simulation, and Scientific Computing 2, 1–31 (2011)CrossRefGoogle Scholar
- 3.Bosse, T., van Maanen, P.-P., Treur, J.: Simulation and Formal Analysis of Visual Attention. Web Intelligence and Agent Systems Journal 7, 89–105 (2009)Google Scholar
- 4.Bosse, T., van Lambalgen, R., van Maanen, P.P., Treur, J.: A System to Support Attention Allocation: Development and Application. Web Intelligence and Agent Systems Journal (in press, 2012)Google Scholar
- 7.Green, D.M., Swets, J.A.: Signal Detection Theory and Psychophysics. Wiley, New York (1966)Google Scholar
- 11.Hockey, G.R.J.: Operator Functional State as a framework for the assessment of performance degradation. In: Hockey, G.R.J., Gaillard, A.W.K., Burov, O. (eds.) Operator Functional State, pp. 8–23. IOS Press, Amsterdam (2003)Google Scholar
- 13.van Maanen, P.-P., de Koning, L., van Dongen, K.: Design and Validation of HABTA: Human Attention-Based Task Allocator. In: Mühlhäuser, M., Ferscha, A., Aitenbichler, E. (eds.) AmI 2007 Workshops. CCIS, vol. 11, pp. 286–300. Springer, Heidelberg (2008)Google Scholar