Understanding the Psychological Factors Underlying Smartphone Related Distracted Driving: Exploratory Analysis Using a Nationwide Survey

Konduri, Karthik; Dalal, Dev · 2018 · ROSA P / New England University Transportation Center

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Summary

This study investigates the psychological factors driving smartphone-related distracted driving, specifically focusing on emailing and social media usage while driving. Motivated by the ubiquity of smartphone ownership (77% of U.S. adults) and the mixed effectiveness of existing legislative bans, the research aims to understand why drivers engage in these behaviors despite known safety risks. The authors seek to identify underlying attitudes that influence behavior to inform more effective policy design, moving beyond traditional talk-and-text distractions to address data-enabled smartphone activities. The researchers employed the Theory of Planned Behavior (TPB) as their theoretical framework, focusing specifically on the "attitude" construct. Data were collected via a nationwide survey hosted on Qualtrics and distributed through Amazon Mechanical Turk to recruit a diverse sample of U.S. adults. The survey instrument included screening questions, measures of smartphone usage frequency, awareness of cell phone laws, and approximately 30 attitude questions regarding email and social networking use while driving, rated on a 5-point Likert scale. Demographic and socioeconomic data were also collected. After a pilot study, 550 complete responses were gathered. Quality control measures included verification questions to ensure respondent attention. The analysis involved descriptive statistics, exploratory factor analysis to identify underlying attitude dimensions, and regression analysis to determine the influence of these factors on driving behaviors. The results indicate that 47% of respondents (259 individuals) reported emailing or accessing social networks while driving at least occasionally, while 12.9% (71 respondents) engaged in these behaviors for at least half of their trips. Regression analysis revealed that specific psychological attitudes significantly predicted the frequency of distracted driving. Positive personal attitudes toward the behaviors, perceived benefits (including temporal, workplace, and social advantages), and the belief that these activities do not negatively impact driving ability were all positively associated with higher frequencies of smartphone use while driving. The study further noted that existing laws had mixed impacts on behavior, with enforcement campaigns showing short-term efficacy but long-term persistence of distraction. The significance of this work lies in its contribution to the distracted driving literature by extending the analysis to email and social media usage, which are less studied than talking or texting. By identifying that perceived benefits and overconfidence in driving ability drive these behaviors, the findings suggest that policy interventions should target these specific psychological constructs rather than relying solely on punitive measures. Understanding these underlying attitudes can help decision-makers design more effective strategies to curb distracted driving, potentially by addressing the perceived social and professional pressures that compel drivers to use smartphones behind the wheel.

Key finding

Respondents' positive attitudes toward the perceived benefits of email and social network use, along with their belief that these activities do not impair driving ability, significantly increased the frequency of distracted driving behaviors.

Methodology

survey

Sample size: 550

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

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• mobile phones
• distraction laws
• temporal
• distraction detection algorithms
• visual
• visual manual

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: observational prevalence, behavioral performance data
• Theoretical Contribution: theory or model