Driving under the influence of distraction: Examining dissociations between risk perception and engagement in distracted driving

• Published in: Accident analysis and prevention Vol. 97; pp. 220 - 230
• Main Authors: Rupp, Michael A., Gentzler, Marc D., Smither, Janan A.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.12.2016
• Subjects: Accident analysis; Adolescent; Adult; Adults; Distracted Driving - psychology; Driver distraction; Exposure; Female; Humans; Legislation; Male; Middle Aged; Perception; Risk perception; Risk-Taking; Structural equation modeling; Surveys and Questionnaires; Tasks; United States; Visual Perception; Young Adult; USA; Structural equation modeling; Driver distraction; Risk perception
• ISSN: 0001-4575; 1879-2057
• DOI: 10.1016/j.aap.2016.09.003

•Exposure, risk knowledge, fairness, visual, and cognitive demand predicted perceived risk.•Exposure, risk-seeking, and voluntariness predicted engagement with distractions.•Internal distractions were rated are more voluntary, but not less risky than external distractions. Driving while distracted is a critical and unwavering problem in the United States leading to numerous injuries and fatalities each year. While increasing legislation and developing technological interventions strive to ensure we only focus on driving, individuals still drive distracted. We surveyed college-aged adults to examine the factors that influence both their risk perception of driving while distracted and how often they engage in distracting activities and situations while driving. We found a disassociation between individuals’ perception of driving distraction risk and their engagement with the distraction. Exposure, perceived knowledge of risks, fairness beliefs, and ratings of perceived visual and cognitive demands was associated with risk perception. Conversely, risk-seeking traits, how voluntary the task was perceived, and previous exposure to a distraction influenced engagement. Overall, we recommend additional research focusing on factors that predict engagement in driver distraction rather than perceived risk alone.