Conference Proceeding

Dynamic Attention as a Predictor of Driving Performance in Clinical Populations: Preliminary Results

Authors
  • Alex Bowers (Harvard Medical School, Boston, MA)
  • Julius Anastasio (Harvard Medical School, Boston, MA)
  • Piers Howe (University of Melbourne, Melbourne, Victoria, Australia)
  • Margaret O'Connor (Beth Israel Deaconess Medical Center, Boston, MA)
  • Ann Hollis (Beth Israel Deaconess Medical Center, Boston, MA)
  • Lissa Kapust (Beth Israel Deaconess Medical Center, Boston, MA)
  • Matt Bronstad (Harvard Medical School, Boston, MA)
  • Todd Horowitz (Harvard Medical School, Boston, MA)

Abstract

Existing tests (e.g., useful field of view; UFOV) that are commonly used to evaluate visual attention when predicting at-risk drivers do not have a dynamic component. In this project, we developed a brief computerized test of dynamic visual attention (multiple object tracking; MOT). Estimates of threshold tracking speed from the brief MOT test showed good agreement with those determined by a full psychometric function (n = 41, r = 0.876, p < 0.001). The brief MOT test was then implemented in a clinical driving assessment program; participants with poorer MOT scores had higher error scores on the road test (n = 15, r = -0.670, p = 0.006).

How to Cite:

Bowers, A. & Anastasio, J. & Howe, P. & O'Connor, M. & Hollis, A. & Kapust, L. & Bronstad, M. & Horowitz, T., (2011) “Dynamic Attention as a Predictor of Driving Performance in Clinical Populations: Preliminary Results”, Driving Assessment Conference 6(2011), 307-313. doi: https://doi.org/10.17077/drivingassessment.1413

Rights: Copyright © 2011 the author(s)

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Published on
29 Jun 2011
Peer Reviewed