Educating the Public About Distracted Driving and Evaluating Distraction-Prevention Technologies

Jeihani, Mansoureh; Javid, Ramina; Sadeghvaziri, Eazaz · 2022 · ROSA P / Morgan State University. National Transportation Center

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Summary

This study addresses the critical issue of distracted driving, a leading cause of injuries and fatalities in the United States, with 3,142 deaths and 324,000 injuries reported in 2020. Motivated by the high prevalence of cell phone use among drivers, particularly young drivers, and the lack of public awareness regarding prevention technologies, the research aimed to educate Maryland drivers and empirically evaluate the effectiveness of distraction-prevention tools. The study categorized technologies into two groups: those designed to prevent distraction (e.g., cell phone blocking apps) and those designed to maintain safety during distraction (e.g., head-up displays, lane departure warnings). The methodology comprised three components: a comprehensive literature review of existing technologies, public education initiatives, and a controlled driving simulator experiment. For education, the researchers developed an informative fact sheet and hosted an online webinar on April 15, 2022, discussing prevention technologies and awareness. To evaluate technology efficacy, 35 participants engaged in a high-fidelity driving simulator study. Participants drove through a simulated network under four distinct scenarios: no distraction, texting, interacting with a cell phone, and driving with a cell phone blocking app. The study measured specific Measures of Effectiveness (MOE), including lateral distance change, lane change frequency, and steering velocity. Participants also completed pre- and post-experiment survey questionnaires to assess attitudes and prior usage of blocking apps. The results confirmed that interacting with a cell phone significantly degraded driving performance. Drivers exhibited greater deviation from the road center, increased lane changes, and higher steering velocity when distracted compared to the no-distraction baseline. Crucially, the impact of using a cell phone blocking app was statistically similar to the no-distraction scenario, demonstrating that these apps effectively mitigate the negative effects of phone interaction. Survey data revealed that while only 23% of participants used cell phone blocking apps prior to the experiment, 88% expressed a positive opinion toward them and indicated an intent to use such apps in the future. The study concludes that cell phone blocking applications are a highly effective method for preventing distracted driving, restoring driving behavior to safe, undistracted levels. These findings support the integration of such technologies into policy frameworks and highlight the necessity of continued public education. By combining empirical evidence of technology efficacy with educational outreach, the research underscores the potential for reducing crash rates through the adoption of distraction-prevention tools and increased driver awareness.

Key finding

Using cell phone blocking apps resulted in driving performance metrics similar to a no-distraction scenario, whereas interacting with a cell phone caused significant lane deviations and increased steering velocity.

Methodology

simulator

Sample size: 35

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

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

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• distraction laws
• mobile phones
• distraction detection algorithms
• visual
• external distraction
• 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
• Methodological Resource: tool software
• Theoretical Contribution: conceptual framework