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Mobile phone conversation distraction: Understanding differences in impact between simulator and naturalistic driving
Kasun P Wijayaratna1, Mitchell L Cunningham2, Michael A Regan3
1Research Centre for Integrated Transport Innovation (rCITI), School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, 2052 Australia; School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, 2007, Australia.
Accident; Analysis and Prevention
|June 1, 2019
Summary
Driving simulator studies show mobile phone use increases crash risk, while naturalistic driving studies (NDSs) sometimes suggest it reduces risk. This discrepancy may stem from differing methodologies and analysis metrics, necessitating greater consistency for accurate safety assessments.
Area of Science:
- Human Factors
- Transportation Safety
- Cognitive Psychology
Background:
- Conflicting findings exist regarding mobile phone conversation's impact on driving safety between driving simulators and naturalistic driving studies (NDSs).
- Simulator studies often indicate increased crash risk due to phone use, whereas NDSs sometimes suggest a reduced risk.
Purpose of the Study:
- To compare and contrast driving simulator studies and NDSs concerning mobile phone use and driving.
- To identify reasons for discrepancies in findings between these two study types.
- To investigate the role of metrics like the Odds Ratio in influencing results.
Main Methods:
- Comprehensive literature review and expert consultations.
- Detailed investigation into the assumptions and application of the Odds Ratio metric.
- Comparative analysis of select driving simulator studies and an NDS using driving behavior data.
Main Results:
- Differences in findings may be attributed to behavioral hypotheses like self-regulation, arousal, task displacement, and gaze concentration.
- The application and estimation of metrics, particularly the Odds Ratio, can lead to polarized results and inaccurate crash risk assessment.
- Inconsistent analysis methods and metrics across study types contribute to divergent outcomes.
Conclusions:
- There is a critical need for greater consistency in analysis methods and metrics applied in both driving simulator and NDS research.
- Standardized approaches will enable more robust comparisons and interpretations of data.
- Enhanced consistency will lead to improved safety planning and policy regarding mobile phone use while driving.
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