The majority of motor vehicle crashes are attributed to driver errors, such as distraction, sleep, excessive speed and false assumption of others’ actions. Certain driver populations are at an elevated risk for vehicular crashes. For example, older drivers are affected by age-related declines in perceptual, cognitive, and motor abilities, while younger and in particular novice drivers tend to lack sufficient skills to recognize or anticipate road hazards. Understanding individual differences among drivers, such as age, driving experience, as well as personality and other social-psychological factors, can help identify ways of supporting safer driving. The talk will begin with an overview of my past research on understanding automobile drivers: modeling visual information sampling behaviour using self-paced visual occlusion, and investigating individual differences in susceptibility to involuntary and voluntary driver distractions. The second part of the talk will present some of my current research on feedback to drivers for mitigating unsafe driving behaviours: (a) a naturalistic driving study to compare the use of financial incentives with providing post-drive feedback to improve speed limit compliance, and (b) a simulator study that explored gamification in driver feedback for mitigating unsafe visual manual distraction. The analysis of data collected using a variety of research methods – in particular, online surveys, driving simulator studies, and on-road and naturalistic driving studies – has necessitated the use of advanced analytic techniques, including structural equation modeling and time series analysis. Findings from these studies have implications for designing safer in-vehicle systems and effective feedback mechanisms tailored towards individual drivers.
Jeanne Y. Xie, Huei-Yen Winnie Chen, Birsen Donmez (2016) "Gaming to Safety: Exploring Feedback Gamification for Mitigating Driver Distraction", Proceedings of the Human Factors and Ergonomics Society 2016 Annual Meeting.