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Journal Article

Citation

Risteska M, Kanaan D, Donmez B, Winnie Chen HY. Safety Sci. 2021; 136: e105123.

Copyright

(Copyright © 2021, Elsevier Publishing)

DOI

10.1016/j.ssci.2020.105123

PMID

unavailable

Abstract

OBJECTIVE
To understand drivers' engagement in distractions and their visual attention allocation under different driving demands.

BACKGROUND: Although distraction increases crash risk, drivers engage in distractions frequently with no negative consequences, likely in part due to their self-regulating behaviors. Prior research revealed a variety of self-regulating behaviors specifically related to cell-phone engagement, but very limited research has investigated whether and how driving demands affect engagement in distractions in general, particularly within a natural setting rather than in the simulator.

METHOD: We used the Naturalistic Engagement in Secondary Tasks (NEST) dataset, a subset of SHRP2 data, to analyze secondary task engagement and off-path (not in direction of travel) eye glances. In addition to assessing their relation to environmental demand, we also considered driver age and chosen speed.

RESULTS: Higher visual difficulty environments (characterized as visually complex and/or with low visibility) were associated with a decreased likelihood of secondary task engagement as well as a decrease in off-path glances, particularly longer ones (>2s). Drivers 35 and older had lower rates of off-path glances compared to younger drivers. An increase in speed was associated with a decrease in the likelihood of task engagement in higher motor control difficulty environments (characterized as poor surface condition and/or curved road) but not in lower ones.

CONCLUSION: Drivers appear to modulate their task engagement and off-path glances based on driving demands. However, given that inopportune short off-path glances can lead to crashes, interventions are still needed to help drivers better modulate their distraction engagement.


Language: en

Keywords

Distracted driving; Environmental demand; Naturalistic driving studies; NEST dataset; Off-road glances; SHRP2

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