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A computational model for human eye-movements in military simulations

Author

Listed:
  • Patrick Jungkunz

    (German Naval Office)

  • Christian J. Darken

    (Naval Postgraduate School)

Abstract

Models of eye movements of an observer searching for human targets are helpful in developing accurate models of target acquisition times and false positive detections. We develop a new model describing the distribution of gaze positions for an observer which includes both bottom-up (salience) and top-down (task dependent) factors. We validate the combined model against a bottom-up model from the literature and against the bottom up and top down parts alone using human performance data on stationary targets. The new model is shown to be significantly better. The new model requires a large amount of data about the terrain and the target that is obtained directly from the 3D simulation through an automated process.

Suggested Citation

  • Patrick Jungkunz & Christian J. Darken, 2011. "A computational model for human eye-movements in military simulations," Computational and Mathematical Organization Theory, Springer, vol. 17(3), pages 229-250, September.
    • Handle: RePEc:spr:comaot:v:17:y:2011:i:3:d:10.1007_s10588-011-9091-9
    DOI: 10.1007/s10588-011-9091-9
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    Citations

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    Cited by:

    1. William G. Kennedy & Frank E. Ritter & Bradley J. Best, 2011. "Behavioral representation in modeling and simulation introduction to CMOT special issue—BRiMS 2010," Computational and Mathematical Organization Theory, Springer, vol. 17(3), pages 225-228, September.
    2. Terence K. Tan & Christian J. Darken, 2015. "Learning and prediction of relational time series," Computational and Mathematical Organization Theory, Springer, vol. 21(2), pages 210-241, June.
    3. Frank E. Ritter & William G. Kennedy & Bradley J. Best, 2013. "The best papers from BRIMS 2011: models of users and teams interacting," Computational and Mathematical Organization Theory, Springer, vol. 19(3), pages 283-287, September.

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