Shannon C. Roberts

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OBJECTIVE The aim of this study was to assess how scrolling through playlists on an MP3 player or its aftermarket controller affects driving performance and to examine how drivers adapt device use to driving demands. BACKGROUND Drivers use increasingly complex infotainment devices that can undermine driving performance. The goal activation hypothesis(More)
Recent studies focused on driver calibration show that drivers are often miscalibrated, either over confident or under confident, and the magnitude of this miscalibration changes under different conditions. Previous work has demonstrated behavioral and performance benefits of feedback, yet these studies have not explicitly examined the issue of calibration.(More)
Many drivers are miscalibrated, i.e. they think they are better or worse than they actually are at multitasking situations. Recent studies focused on calibration while driving show that drivers are miscalibrated, either over confident or under confident, and that this effect changes under different conditions. Previous work has demonstrated behavioral and(More)
Objective: To use agent-based modeling to examine how peer influence in a social network affects behavior change among teenage drivers. Background: Teenagers are involved in more fatal driving crashes than any other age group. A solution to the problem is to utilize both feedback systems and online social networks to promote safe driving behavior. Methods:(More)
Objective: The aim of this study was to assess how scrolling through playlists on an MP3 player or its aftermarket controller affects driving performance and to examine how drivers adapt device use to driving demands. Background: Drivers use increasingly complex infotainment devices that can undermine driving performance. The goal activation hypothesis(More)
Vehicle crashes caused by driver distraction are of increasing concern. One approach to reduce the number of these crashes mitigates distraction by giving drivers feedback regarding their performance. For these mitigation systems to be effective, drivers must trust and accept them. The objective of this study was to evaluate real-time and post-drive(More)
Objective: To develop measures of driver interaction with in-vehicle devices through capacity analysis. Background: Common measures of driver behavior focus on the mean values of measures that do not consider temporal distribution of attention. Capacity analysis can quantify the temporal profile of a drivers' capacity and the resulting task efficiency.(More)
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