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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aarts, E., Harwig, R., Schuurmans, M.: Ambient Intelligence. In: Denning, P. (ed.) The Invisible Future, pp. 235–250. McGraw Hill, New York (2001)
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)
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)
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)
Endsley, M.: Toward a Theory of Situation Awareness in Dynamic Systems. Human Factors 37, 32–64 (1995)
Gonzalez, C.: Task workload and cognitive abilities in dynamic decision making. Human Factors 47, 92–101 (2005)
Green, D.M., Swets, J.A.: Signal Detection Theory and Psychophysics. Wiley, New York (1966)
Hancock, P.A., Williams, G., Manning, C.P., Miyake, S.: Influence of task demand characteristics on workload and performance. The International Journal of Aviation Psychology 5, 63–86 (1995)
Hill, D.W.: The critical power concept. Sports Medicine 16, 237–254 (1993)
Hockey, G.R.J.: Compensatory control in the regulation of human perfromance under stress and high workload: a cognitive-energetical framework. Biological Psychology 45, 73–93 (1997)
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)
Itti, L., Koch, C.: Computational Modeling of Visual Attention. Nature Reviews Neuroscience 2, 194–203 (2001)
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)
Wilson, G.F., Russell, C.A.: Performance enhancement in an uninhabited air vehicle task using psychophysiologically determined adaptive aiding. Human Factors 49, 1005–1018 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bosse, T., van Lambalgen, R., van Maanen, PP., Treur, J. (2012). An Integrated Agent Model for Attention and Functional State. In: Jiang, H., Ding, W., Ali, M., Wu, X. (eds) Advanced Research in Applied Artificial Intelligence. IEA/AIE 2012. Lecture Notes in Computer Science(), vol 7345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31087-4_67
Download citation
DOI: https://doi.org/10.1007/978-3-642-31087-4_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31086-7
Online ISBN: 978-3-642-31087-4
eBook Packages: Computer ScienceComputer Science (R0)