Drivers typically calibrate their driving behavior with their perceived risk of the current driving situation. However, the degree of risky behavior that drivers find acceptable may be affected by individual difference factors, such as gender, cognitive ability, and personality traits. Using a publicly available dataset examining cognitive and personality variables in a sample of older American adults (CogUSA; McArdle, Rodgers, & Willis, 2015), the present study assessed the relationships between global and information processing factors and self-perceived risky driving behavior (after controlling for general self-perceived risk-taking). Global factors included gender, age, and the big five personality traits. Information processing factors were measured by scores on Visual Matching, Incomplete Words, Auditory Working Memory, and Spatial Relations tests. Results indicated that gender, conscientiousness, agreeableness, and visuo-spatial processing predicted increased self-perceived risky driving behavior. The results have implications for the assessment of driving risk factors across ages, as well as the burgeoning field of hazard perception training.
|Original language||English (US)|
|Title of host publication||Proceedings of the Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017|
|Publisher||Human Factors an Ergonomics Society Inc.|
|Number of pages||5|
|State||Published - 2017|
|Event||Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017 - Austin, United States|
Duration: Oct 9 2017 → Oct 13 2017
|Name||Proceedings of the Human Factors and Ergonomics Society|
|Other||Human Factors and Ergonomics Society 2017 International Annual Meeting, HFES 2017|
|Period||10/9/17 → 10/13/17|
Bibliographical noteFunding Information:
The authors acknowledge the original collectors of the data (McArdle et al., 2015), ICPSR, and their funding agencies (United States Department of Health and Human Services, National Institutes of Health, National Institute on Aging (AG-07407-14)), and that they bear no responsibility for the present use of the data.
Copyright 2017 by Human Factors and Ergonomics Society.