Volume List  / Volume 8 (3)

Article

DRIVERS’ ACCEPTANCE OF ADVANCED DRIVER ASSISTANCE SYSTEMS – WHAT TO CONSIDER?

DOI: 10.7708/ijtte.2018.8(3).06


8 / 3 / 320-333 Pages

Author(s)

Lucie Viktorová - Department of Psychology, Faculty of Arts, Palacký University in Olomouc, Olomouc, Czech Republic -

Matúš Šucha - Department of Psychology, Faculty of Arts, Palacký University in Olomouc, Olomouc, Czech Republic -


Abstract

Advanced Driver Assistance Systems (ADAS) proved a potential to save lives and reduce serious injury in traffic accidents. But if they are not known and accepted by the drivers, they will not deliver the benefits intended by their designers. The aim of the current research was to assess the awareness and acceptance of selected advanced driver assistance systems among a sample of Czech drivers, as well as the factors that might influence it. Together, 526 drivers participated in the questionnaire study. About a half of them was not aware of any further information besides the existence of various ADAS and more than 70 % did not drive with such systems yet. As for the acceptance, most of the systems were desired by at least 50 % of the respondents, but the majority was not willing to pay any extra money for the systems. A perceived safety benefit might increase the acceptance, but in the end, a thorough driver education about the systems’ function and limitations is needed.


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Acknowledgements:

This work was supported by the Technology Agency of the Czech Republic OMEGA Programme [Project ID Nr. TD03000195].


References:

Adell, E.; Várhelyi, A.; Nilsson L. 2014. The Definition of Acceptance and Acceptability. In Regan, M. A.; Horberry, T.; Stevens, A. (Eds.), Driver Acceptance of new Technology: theory, measurement and optimization, Ashgate Publishing, UK, 11–21.

 

Anderson, R. W. G.; Hutchinson, T. P.; Linke, B.; Ponte, G. 2011. Analysis of crash data to estimate the benefits of emerging vehicle technology. University of Adelaide, Adelaida, Australia. Available from Internet: http://casr.adelaide.edu.au/casrpubfile/1081/CASR094.pdf.

 

Beggiato, M.; Krems, J. F. 2013. The evolution of mental model, trust and acceptance of adaptive cruise control in relation to initial information, Transportation Research Part F: Traffic Psychology and Behaviour 18: 47-57.

 

Benmimoun, M.; Zlocki, A.; Eckstein, L. 2013. Behavioral changes and user acceptance of Adaptive cruise control (ACC) and Forward collision warning (FCW): Key findings within an European naturalistic field operational test. In The 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV), Seoul, Republic of Korea. Available from Internet: https://www-esv.nhtsa.dot.gov/Proceedings/23/files/23ESV-000025.PDF.

 

Biondi, F.; Rossi, R.; Gastaldi, M.; Mulatti, C. 2014. Beeping ADAS: Reflexive effect on drivers’ behavior, Transportation Research Part F: Traffic Psychology and Behaviour 25 :27–33.

 

Burnett, G.; Diels, C. 2014. Driver Acceptance of In-Vehicle Information, Assistance and Automated Systems: An Overview. In Regan, M. A.; Horberry, T.; Stevens, A. (Eds.), Driver Acceptance of new Technology: theory, measurement and optimization, Ashgate Publishing, UK, 137–151.

 

Choi, S.; Thalmayr, F.; Wee, D.; Weig, F. 2016. Advanced driver-assistance systems: Challenges and opportunities ahead. Available from Internet: http://www.mckinsey.com/industries/semiconductors/our-insights/advanced-driver-assistance-systems-challenges-and-opportunities-ahead.

 

Dickie, D. A.; Boyle, L. N. 2009. Drivers’ Understanding of Adaptive Cruise Control Limitations. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 53(23): 1806–1810.

 

European Automobile Manufacturers Association (ACEA). 2017. The Automobile Industry Pocket Guide 2017/2018. Available from Internet: http://www.acea.be/publications/article/acea-pocket-guide.

 

European Commision – Eurobarometer. 2006. Use of Intelligent Systems in Vehicles – Special Eurobarometer 267/ Wave 65.4 – TNS Opinion & Social. Available from Internet: ec.europa.eu/commfrontoffice/publicopinion/archives/ebs/ebs_267_en.pdf.

 

Fagerlonn, J. 2010. Distracting effects of auditory warnings on experienced drivers. In Proceedings of the 16th international conference on auditory display (ICAD-2010), Washington D.C., 127–132.

 

German Road Safety Council e.V. (DVR). 2010. Fahrerassistenten: bekannt, aber wenig verbreitet. DVR-Umfrage: Jeder zweite Autofahrer pro Jahr in gefährlicher Situation. [Driver Assistance Systems: known, but limitedly used. DVR-poll: Every second driver per year in a dangerous situation.]. Available from Internet: http://www.presseportal.de/pm/17147/1546605.

 

Ghazizadeh, M.; Lee, J. D. 2014. Modeling Driver Acceptance: From Feedback to Monitoring and Mentoring Systems. In Regan, M. A.; Horberry, T.; Stevens, A. (Eds.), Driver Acceptance of new Technology: theory, measurement and optimization, Ashgate Publishing, UK, 51–70.

 

Jenness, J. W.; Lerner, N. D.; Mazor, S.; Osberg, J. S.; Tefft, B. C. 2008. Use of Advanced In-Vehicle Technology by Young and Older Early Adopters. Survey Results on Adaptive Cruise Control Systems. Report No. DOT HS 810 917. NHTSA, Washington D.C.

 

Jermakian, J. S. 2011. Crash avoidance potential of four passenger vehicle technologies, Accident Analysis and Prevention 43(3): 732-740.

 

Källhammer, J.-E.; Smith, K.; Hollnagel, E. 2014. An Empirical Method for Quantifying Drivers’ Level of Acceptance of Alerts Issued by Automotive Active Safety Systems. In Regan, M. A.; Horberry, T.; Stevens, A. (Eds.), Driver Acceptance of new Technology: theory, measurement and optimization, Ashgate Publishing, UK, 121 – 134.

 

Kozak, K.; Pohl, J.; Birk, W.; Greenberg, J.; Artz, B.; Blommer, M.; Cathey, L.; Curry, R. 2006. Evaluation of lane departure warnings for drowsy drivers. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 50(22): 2400–2404.

 

Kyriakidis, M.; Happee, R.; De Winter, J. C. F. 2014. Public opinion on automated driving: Results of an international questionnaire among 5,000 respondents, Transportation Research Part F: Traffic Psychology and Behaviour 32: 127-140.

 

Kyriakidis, M.; van de Weijer, C.; van Arem, B.; Happee, R. 2015. The Deployment of Advanced Driver Assistance Systems in Europe. In 22nd ITS World Congress Proceedings, Bordeaux, France. Available from Internet: https://proceedings.itsworldcongress.com/files/papers/565.

 

Larsson, A. F. L. 2012. Driver usage and understanding of adaptive cruise control, Applied Ergonomics 43: 501-506.

 

Llaneras, R. E. 2007. Safety Related Misconceptions and Self-Reported Behavioral Adaptations Associated With Advanced In-Vehicle Systems: Lessons Learned From Early Technology Adopters. In Proceedings of the 4th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, 299–305. Available from Internet: drivingassessment.uiowa.edu/DA2007/PDF/051_Llaneras.pdf.

 

Najm, W. G.; Stearns, M. D.; Howarth, H.; Koopmann, J.; Hitz, J. 2006. Evaluation of an Automotive Rear-End Collision Avoidance System (chapter 5). U.S. Department of Transportation, National Highway Traffic Safety Administration, DOT HS 810 569. Research and Innovative Technology Administration, Volpe National Transportation Systems Center, Cambridge, MA.

 

Planing, P. 2016. Innovation Acceptance. The Case of Advanced Driver-Assistance Systems. Springer, Stuttgart. 326p.

 

Regan, M. A.; Stevens, A.; Horberry, T. 2014. Driver Acceptance of New Technology: Overview. In Regan, M. A.; Horberry, T.; Stevens, A. (Eds.), Driver Acceptance of new Technology: theory, measurement and optimization, Ashgate Publishing, UK, 3–8.

 

Sullivan, J. M.; Flannagan, M. J.; Pradhan, A. K.; Bao, S. 2016. Literature Review of Behavioral Adaptation to Advanced Driver Assistance Systems. March 2016. AAA Foundation for Traffic Safety, Washington, DC.

 

Trübswetter, N.; Bengler, K. 2013. Why Should I Use ADAS? Advanced Driver Assistance Systems and the Elderly: Knowledge, Experience and Usage Barriers. In Proceedings of the 7th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design, University of Iowa, Iowa city, 495-501.

 

US Department of Transportation (DOT). 2008. Intelligent Transport Systems Benefits, Costs, Deployment, and Lessons Learned: 2008 Update. Report No. FHWA-JPO-08-032. US DOT, Washington D.C.

 

van Calker, J. R.; Flemming, A. 2012. iCar - implementation status survey by use of OEM data 2012, Deployment state in EU member states, WP5 Final report, version 21st October 2012. FSD Fahrzeugsystemdaten GmbH, Dresden, Germany.

 

Viktorová, L.; Šucha, M. 2017. Jak se čeští Å™idiči seznamují s pokročilými asistenčními systémy v osobních automobilech? [How do Czech drivers familiarize themselves with Advanced Driver Assistance Systems?], Silniční obzor 78(4): 111-114.

 

Wiese, E. E.; Lee, J. D. 2004. Auditory alerts for in-vehicle information systems: The effects of temporal conflict and sound parameters on driver attitudes and performance, Ergonomics 47(9): 965–986.