Autonomous travel
Changes in driving and its perception in society
DOI:
https://doi.org/10.14267/VEZTUD.2025.03.05Keywords:
self-driving cars, social acceptanceAbstract
The proliferation of self-driving cars is creating conflicting feelings among people, which are further complicated by the phenomenon of technostress. The extent to which technostress causes mental distress is unclear from current research, and further studies are needed to describe the benefits and drawbacks in more detail. The study of acceptance and the analysis of attitudes are key to understanding and accepting technological change. It is also important to clarify ethical and legal issues in order to integrate new technologies into the daily lives better. The research methodology combines primary and secondary data, and the use of a questionnaire survey with convenience sampling is a reasonable approach in light of the available sources. The interpretative approach and identification of patterns can help shape future action plans and determine the direction of technological development, thereby facilitating the adoption and uptake of selfdriving cars.
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References
AAtiyeh, C. (2021-01-23). Self-Driving Cars’ Look, Feel Is Clearer through Final U.S. Safety Rules. Car and Driver. https://www.caranddriver.com/news/a35247978/us-autonomous-car-safety-rules-finalized
Bautista, C., & Mester, G. (2023). Internet of things in self-driving cars environment. Interdisciplinary Description of Complex Systems. INDECS, 21(2), 188-198. https://doi.org/ 10.7906/indecs.21.2.8
Brooke, L. (2016-09-20). U.S. DoT chooses SAE J3016 for vehicle-autonomy policy guidance. https://www.sae.org/news/2016/09/us-dot-chooses-sae-j3016-for-vehicle-autonomy-policy-guidance
Cugurullo, F., & Acheampong, R. A. (2023). Fear of AI: an inquiry into the adoption of autonomous cars in spite of fear, and a theoretical framework for the study of artificial intelligence technology acceptance. AI & SOCIETY, 39, 1569–1584. https://doi.org/10.1007/s00146-022-01598-6
Dragano, N., & Lunau, T. (2020). Technostress at work and mental health: concepts and research results. Current Opinion in Psychiatry, 33(4), 407-413. https://doi.org/10.1097/YCO.0000000000000613
Gál, I., Hima, Z., & Tick, A. (2024). Az autóipari termelés kockázatainak csökkentése. Biztonságtudományi Szemle, 6(1), 27-40. https://biztonsagtudomanyi.szemle.uni-obuda.hu/index.php/home/article/view/440/330
Gál, L., & Sipos, T. (2018). Autonóm gépjárművek elterjedésének hatása a fajlagos nemzetgazdasági veszteségértékekre vonatkozóan. Közlekedéstudományi Szemle, 68(4), 74-82. https://doi.org/10.24228/KTSZ.2018.4.6
Harahap, M.A.K., Sutrisno, S., Fauzi, F., Jusman, I.A., & Ausat, A.M.A. (2023). The Impact of Digital Technology on Employee Job Stress: A Business Psychology Review.
Jurnal Pendidikan Tambusai, 7(1), 3635-3638. https://doi.org/10.31004/jptam.v7i1.5775
Hőgye-Nagy, Á., Kovács, G., & Kurucz, G. (2023). Acceptance of self-driving cars among the university community: Effects of gender, previous experience, technology adoption propensity, and attitudes toward autonomous vehicles. Transportation Research Part F: Traffic Psychology and Behaviour, 94, 353-361. https://doi.org/10.1016/j.trf.2023.03.005
Jaradat, M., Jibreel, M., & Skaik, H. (2020). Individuals’ perceptions of technology and its relationship with ambition, unemployment, loneliness and insomnia in the Gulf. Technology in Society, 60, 101199. https://doi.org/10.1016/j.techsoc.2019.101199
Jeong, S.H., & Kim, H.K. (2023). Effect of trust in metaverse on usage intention through technology readiness and technology acceptance model. Tehnički vjesnik, 30(3), 837-845. https://doi.org/10.17559/TV-20221111061245
Kettles, N., & Van Belle, J.P. (2019). Investigation into the antecedents of autonomous car acceptance using an enhanced UTAUT model. In International Conference on Advances in Big Data, Computing and Data Communication Systems (pp. 1-6). IEEE. http://dx.doi.org/10.1109/ICABCD.2019.8851011
Königs, P. (2023). Of trolleys and self-driving cars: What machine ethicists can and cannot learn from trolleyology. Utilitas, 35(1), 70-87. https://doi.org/10.1017/S0953820822000395
Kyriakidis, M., Happee, R., & de Winter, J.C.F. (2015). Public opinion on automated driving: Results of an international questionnaire among 5000 respondents. Transportation Research Part F: Traffic Psychology and Behaviour, 32, 127-140. http://dx.doi.org/10.1016/j.trf.2015.04.014
Lazányi, K. (2018a). Are we Ready for Self-Driving Cars-a Case of Principal-Agent Theory. In 2018 IEEE 12th International Symposium on Applied Computational Intelligence and Informatics (SACI) ( pp. 251- 254). IEEE. https://doi.org/10.1109/SACI.2018.8441011
Lazányi, K. (2018b). Readiness for artificial intelligence. In 2018 IEEE 16th international symposium on intelligent systems and informatics (SISY) (pp. 235-238). IEEE. https://doi.org/10.1109/SISY.2018.8524740
Lazányi, K. (2023). Perceived Risks of Autonomous Vehicles. Risks, 11(2), 26. https://doi.org/10.3390/risks11020026
Miller, C., & Valasek, C. (2015). Remote exploitation of an unaltered passenger vehicle. Black Hat.
Padmaja, B., Moorthy, C.V., Venkateswarulu, N., & Bala, M.M. (2023). Exploration of issues, challenges and latest developments in autonomous cars. Journal of Big Data, 10(1), 61. https://doi.org/10.1186/s40537-023-00701-y
Paulo, N. (2023). The Trolley Problem in the Ethics of Autonomous Vehicles. The Philosophical Quarterly, 73(49), 1046-1066. https://doi.org/10.1093/pq/pqad051
Sámson, N., & Tick, A. (2024). Digital Defense: Investigating Human Aspects of Cybersecurity. In Szakál, A. (Eds.), SACI 2024: 18th IEEE International Symposium on Applied Computational Intelligence and Informatics (pp. 525-532). IEEE. https://doi.org/10.1109/SACI60582.2024.10619840
Schoettle, B., & Sivak, M. (2015). Motorists’ Preferences for Different Levels of Vehicle Automation. T he U niversity of Michigan Transportation Research Institute. https://public.websites.umich.edu/~umtriswt/PDF/SWT-2016-8.pdf
Servin, C., Kreinovich, V., & Shahbazova, S.N. (2023). Ethical Dilemma of Self-Driving Cars: Conservative Solution. In Recent Developments and the New Directions of Research, Foundations, and Applications: Selected Papers of the 8th World Conference on Soft Computing, February 03–05, 2022, Baku, Azerbaijan, Vol. II (pp. 93-98). Springer Nature Switzerland.
Siegel, J., & Pappas, G. (2023). Morals, ethics, and the technology capabilities and limitations of automated and self-driving vehicles. AI & SOCIETY, 38(1), 213-226. https://doi.org/10.1007/s00146-021-01277-y
Szikora, P., & Szatmáry, R. (2023). Autonomous Cars– What Lies Behind the Lack of Readiness. Interdisciplinary Description of Complex Systems: INDECS, 21(4), 399-411. https://doi.org/10.7906/indecs.21.4.9
Takács Á. (2018.06.26). Autózás sofőrök nélkül – Forradalom a közlekedésben. Élet és Tudomány. https://eletestudomany.hu/autozas-soforok-nelkul-forradalom-a-kozlekedesben
Uren, V., & Edwards, J.S. (2023). Technology readiness and the organizational journey towards AI adoption: An empirical study. International Journal of Information Management, 68, 102588. https://doi.org/10.1016/j.ijinfomgt.2022.102588
Vujanic, A., & Unkefer, H. (2011). Consumers in US and UK Frustrated with Intelligent Devices That Frequently Crash or Freeze New Accenture Survey Finds. https://newsroom.accenture.com/news/2011/consumers-in-usand-uk-frustrated-with-intelligent-devices-that-frequently-crash-or-freeze-new-accenture-survey-finds
Woollard, F. (2023). The New Trolley Problem: Driverless Cars and Deontological Distinctions. Journal of Applied Philosophy, 40(1), 49-64. https://doi.org/10.1111/japp.12610
Yvkoff, L.M. (2012-04-27). Many car buyers show interest in autonomous car tech. https://www.cnet.com/roadshow/news/many-car-buyers-show-interest-in-autonomouscar-tech/
Zhang, Y., Chen, X., Ma, J., & Yu, L. (2024). Environmental impact of autonomous cars considering platooning with buses in urban scenarios. Sustainable Cities and Society, 101, 105106. https://doi.org/10.1016/j.scs.2023.105106
Zhao, X., Fang, Y., Min, H., Wu, X., Wang, W., & Teixeira, R. (2023). Potential sources of sensor data anomalies for autonomous vehicles: An overview from road vehicle safety perspective. Expert Systems with Applications, 236, 121358. https://doi.org/10.1016/j.eswa.2023.121358
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