Conference Proceedings
Dynamic Attention as a Predictor of Driving Performance in Clinical Populations: Preliminary Results
Alex Bowers, Julius Anastasio, Piers Howe, Margaret O'Connor, Ann Hollis, Lissa Kapust, Matt Bronstad, Todd Horowitz
Driving Assessment Conference 2011 | University of Iowa Libraries Publishing | Published : 2011
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).