Objective: An experiment studied the frequency and correlates of driver mind wandering. Background: Driver mind wandering is associated with risk for crash involvement. The present experiment examined the performance and attentional changes by which this effect might occur. Method: Participants performed a car-following task in a high-fidelity driving simulator and were asked to report any time they caught themselves mind wandering. Vehicle control and eye movement data were recorded. Results: As compared with their attentive performance, participants showed few deficits in vehicle control while mind wandering but tended to focus visual attention narrowly on the road ahead. Conclusion: Data suggest that mind wandering can engender a failure to monitor the environment while driving. Application: Results identify behavioral correlates and potential risks of mind wandering that might enable efforts to detect and mitigate driver inattention.

Objective: A pair of simulated driving experiments studied the effects of cognitive load on drivers’ lane-keeping performance. Background: Cognitive load while driving often reduces the variability of lane position. However, there is no agreement as to whether this effect should be interpreted as a performance loss, consistent with other effects of distraction on driving, or as an anomalous performance gain. Method: Participants in a high-fidelity driving simulator performed a lane-keeping task in lateral wind, with instructions to keep a steady lane position. Under high load conditions, participants performed a concurrent working memory task with auditory stimuli. Cross-spectral analysis measured the relationship between wind force and steering inputs. Results: Cognitive load reduced the variability of lane position and increased the coupling between steering wheel position and crosswind strength. Conclusion: Although cognitive load disrupts driver performance in a variety of ways, it produces a performance gain in lane keeping. This effect appears to reflect drivers’ efforts to protect lateral control against the risk of distraction, at the apparent neglect of other elements of driving performance. Application: Results may inform educational efforts to help drivers understand the risks of distraction and the inadequacies of compensatory driving strategies.

Few studies have investigated the impact of landscapes on humans’ mental status while they are moving at high speeds, such as driving on the freeway. This study used a simulation system to measure drivers’ mental responses to six different freeway landscapes. Each of the 33 participants completed six different 90-minute simulated driving tasks in a randomly assigned sequence. The six landscape conditions consisted of an identical freeway infrastructure, with different roadside landscapes. Results show significant differences between landscape conditions and drivers’ mental responses. Landscape conditions with greater greenness, in general, had a greater positive impact on drivers’ mental status. The barren and tree regular landscapes yielded the worst and best results, respectively. Further, higher complexity was associated with a higher level of negative mental status. We argue that the speed of human’s active movement should be considered as an essential factor in the Attention Restoration Theory and Stress Reduction Theory.