Conference Proceeding
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)
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).
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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). doi: https://doi.org/10.17077/drivingassessment.1413