Driving Safer: A Look at How Men and Women Use Advanced Driver Assistance Systems
Objective — This study investigates the nuanced landscape of gender-specific patterns in utilization of Advanced Driver Assistance Systems (ADAS), aiming to contribute insights to enhance road safety. Methods — Leveraging data from diverse sources, including Scopus, Web of Science, and Google Scholar, the method employed involves a meticulous examination of studies exploring gender differences in driving behaviors and ADAS adoption. Key factors influencing these differences, were analyzed including age, experience, and attitudes toward technology. Cultural and societal influences on gender-specific driving behaviors are explored, shedding light on the intricate interplay of perceptions and expectations. Results — The review identifies challenges in ADAS adoption, including limited awareness, misconceptions, and resistance to change. Opportunities for improvement are then outlined, encompassing comprehensive user training, clear communication of ADAS features, customizable settings, and incentives for ADAS-equipped vehicles. This study showed that men tend towards aggressive driving behaviors, while women prioritize caution and adherence to traffic rules. Women propensity for safety-oriented features such as lane-keeping assistance, while men display a preference for convenience-focused features such as adaptive cruise control and parking assistance. Conclusion — By addressing challenges and embracing opportunities, the study advocates for a future where ADAS technologies contribute significantly to safer and more equitable roadways for all drivers.
Authors
- M. Ghasemzadeh (ORCID: https://orcid.org/0000-0001-9503-4462)
- Alireza Razzaghi (ORCID: https://orcid.org/0000-0003-1874-6364)
- Kiavash Hushmandi (ORCID: https://orcid.org/0000-0001-5682-5392)
- Salman Daneshi (ORCID: https://orcid.org/0000-0002-9199-0382)
- Abolfazl Afshari (ORCID: https://orcid.org/0000-0002-8609-3601)
- Alireza Azadnia (ORCID: https://orcid.org/0009-0001-9845-2122)
- Shiva Yazdani (ORCID: https://orcid.org/0009-0004-5399-0340)
Institutions
- Yazd University (IR)
- Baqiyatallah University of Medical Sciences (IR)
- Western University (CA)
- University of Jiroft (IR)
- Sharif University of Technology (IR)
- George Mason University (US)
- Qazvin University of Medical Sciences (IR)
Publication Details
- Journal
- Russian Open Medical Journal
- Published
- 2024-12-30
- DOI
- https://doi.org/10.15275/rusomj.2024.0404
- Citations
- 3
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- article
- Field-Weighted Citation Impact
- 1.93