Patricia Böhm
Martin Kocur
ABSTRACT
In recent years, autonomous driving has emerged as an explicit technological objective of many players in the automobile market. How will these novel developments be accepted and which factors may determine their acceptance? In an exploratory study we investigated the impact of a number of possible predictors on the attitudes towards using one particular fully autonomous driving paradigm. In a survey with 70 participants we measured these attitudes using items from the "Car Technology Acceptance Model" (CTAM). Among other things we looked at driving experience, previous experience with in-car automation technology and attitudes towards driving violations (measured by the "Driver Attitude Questionnaire", DAQ). Subsequent regression analysis showed a high (DAQ) score (indicative of a less "by the rules" attitude) to be a significant predictor for a positive attitude towards autonomous vehicles as well as a non-significant tendency that women may be less accepting of the autonomous driving paradigm under scrutiny.
- Auto Bild. (2015). Mercedes F 015 - Erste Fahrt im Benz der Zukunft. Video. (27 March 2015.). Retrieved March 30, 2017 from https://www.youtube.com/watch?v=OMef1ujJezA.Google Scholar
- Conner, M. & Lai, F. 2005. Evaluation of the effectiveness of the National Driver Improvement Scheme. Road Safety Research Report, 64, Department for Transport, London.Google Scholar
- Davey, J., Freeman, J. and Wishart, D. 2006. An application of the Driver Attitude Questionnaire to examine driving behaviours within an Australian organisational fleet setting. In Australasian road safety research policing education conference, Surfers Paradise, Queensland, Australia, 1--10, Retrieved 13. January, 107, from http://acrs.org.au/files/arsrpe/RS060046.pdfGoogle Scholar
- Davis, F. D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13,3: 319--340. Google ScholarDigital Library
- Färber, B. 2003. Auswirkungen neuer Informationstechnologien auf das Fahrerverhalten. Berichte der Bundesanstalt für Straßenwesen, Mensch und Sicherheit, 149, Universität der Bundeswehr, München.Google Scholar
- Field, A. 2009. Discovering statistics using SPSS: (and sex and drugs and rock 'n'roll). Sage, London. Google ScholarDigital Library
- National Highway Traffic Safety Administration. Preliminary Statement of Policy Concerning Automated Vehicles. 2013. Retrieved 13 January 2017 from http://www.nhtsa.gov/staticfiles/rulemaking/pdf/Automated_Vehicles_Policy.pdfGoogle Scholar
- Osswald, S., Wurhofer, D., Trösterer, S., Beck, E. and Tscheligi, M. 2012. Predicting information technology usage in the car: towards a car technology acceptance model. In Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 51--58. Google ScholarDigital Library
- Parker, D., Stradling, S. G. and Manstead, A. S. 1996. Modifying beliefs and attitudes to exceeding the speed limit: An intervention study based on the theory of planned behavior. Journal of Applied Social Psychology, 26(1), 1--19.Google ScholarCross Ref
- Pettersson, I. and Karlsson, I. M. 2015. Setting the stage for autonomous cars: a pilot study of future autonomous driving experiences. IET intelligent transport systems, 9, 7, 694--701.Google Scholar
- Reason, J., Manstead, A., Stradling, S., Baxter, J. and Campbell, K. 1990. Errors and violations on the roads: a real distinction? Ergonomics, 33, 10/11), 1315--1332.Google Scholar
- Rödel, C., Stadler, S., Meschtscherjakov, A. and Tscheligi, M. 2014. Towards autonomous cars: The effect of autonomy levels on acceptance and user experience. In Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 1--8. Google ScholarDigital Library
- Tennant, C., Howard, S., Franks, B., & Bauer, M. W. and Stares, S. (2016). Autonomous Vehicles - Negotiating a Place on the Road: A study on how drivers feel about Interacting with Autonomous Vehicles on the road (executive summary). Retrieved July, 16,2017, from http://www.lse.ac.uk/website-archive/newsAndMedia/PDF/AVs-negociating-a-place-on-the-road-1110.pdfGoogle Scholar
- Venkatesh, V., Morris, M. Davis, G. and F. Davis (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425--478. Google ScholarDigital Library
Index Terms
- Which Factors Influence Attitudes Towards Using Autonomous Vehicles?
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