Alexander Meschtscherjakov
David Wilfinger
ABSTRACT
Measuring user acceptance to avoid system rejection by the users in pre-prototype stage of product development is of high interest for both researchers and practitioners. This is especially true when technology uses strategies of persuasion in an emotional laden environment like the car. This paper presents the results of an online survey aiming at evaluating the acceptance of future persuasive in-car interaction approaches for a more economic driving behaviour. Five different persuasive interface concepts are presented and studied towards their acceptance. The results show an overall acceptance of the system concepts and the usefulness of the presented method. We show that individual expectations of the systems' disturbance and risk have an effect on the acceptance of technology and the behavioural intention to use.
- Ablassmeier, M., Poitschke, T.,&Rigoll, G. 2006. A new approach of a context-adaptive search agent for automotive environments. In Proc. CHI '06 Extended Abstracts, New York, NY, USA, 1613--1618. ACM. Google Scholar
Digital Library
- Comte, S. Wardman, M., Whelan, G. 2000, Drivers' acceptance of automatic speed limiters: implications for policy and implementation, Transport Policy 7(4), 259--267Google ScholarCross Ref
- Davis, F. D.&Venkatesh, V. 2004. Toward preprototype user acceptance testing of new information systems: implications for software project management. Engineering Management, IEEE Transactions on, 51(1), 31--46.Google ScholarCross Ref
- Davis, F. D. 1989. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 318+.Google Scholar
- Dillon, A.&Morris, M. G. 1996. User acceptance of new information technology: theories and models. http://dlist.sir.arizona.edu/1261/Google Scholar
- Fiat, eco: Drive, http://www.fiatecodrive.com (last accessed on 25th May 2009)Google Scholar
- Fogg, B. J. 2003. Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufman, San Francisco, CA, USA. Google ScholarDigital Library
- Ford, SmartGauge with EcoGuide, http://media.ford.com/images/10031/SmartGauge.pdf (last accessed on 25th May 2009)Google Scholar
- Graf, S., Spiessl, W., Schmidt, A., Winter, A., and Rigoll, G. 2008. In-car interaction using search-based user interfaces. In Proc. CHI '08. ACM, New York, NY, 1685--1688. Google ScholarDigital Library
- Green Car Advisor, http://blogs.edmunds.com/greencaradvisor/2009/04/eco-driving-systems-now-your-car-can-gently-nag-you-into-being-more-fuel-wise.html (last accessed on 25th May 2009)Google Scholar
- Honda, Ecological Drive Assist System, http://world.honda.com/news/2008/4081120Ecological-Drive-Assist-System/ (last accessed on 25th May 2009)Google Scholar
- Hu, J., Winterboer, A., Nass, C. I., Moore, J. D.,&Illowsky, R. 2007. Context&usability testing: user-modelled information presentation in easy and difficult driving conditions. In Proc. CHI '07, New York, NY, USA, 2007 1343--1346. ACM. Google ScholarDigital Library
- Kantowitz, B. H., Hankowski, R. J., and Kantowitz, S. C. 1997. Driver acceptance of unreliable traffic information in familiar and unfamiliar settings. Human Factors 39, 164--176.Google ScholarCross Ref
- Kern, D., Müller, M., Schneegaß, S., Wolejko-Wolejszo, L.,&Schmidt, A. 2008. CARS - Configurable Automotive Research Simulator. In Automotive User Interfaces and Interactive Applications -- AUIIA 08, Workshop at Mensch und Computer 2008.Google Scholar
- Kern, D., Schmidt, A., Arnsmann, J., Appelmann, T., Pararasasegaran, N., and Piepiera, B. 2009. Writing to your car: handwritten text input while driving. In Proc. CHI '09 Extended Abstracts. ACM, New York, NY, 4705--4710. Google ScholarDigital Library
- Kim, S., Dey, A. K. 2009. Simulated augmented reality windshield display as a cognitive mapping aid for elder driver navigation. In Proc. CHI '09. ACM, New York, NY. Google ScholarDigital Library
- Krum, D. M., Faenger, J., Lathrop, B., Sison, J., and Lien, A. 2008. All roads lead to CHI: interaction in the automobile. In Proc. CHI '08 Extended Abstracts. New York, NY. ACM. Google ScholarDigital Library
- Kumar, M. and Kim, T. 2005. Dynamic speedometer: dashboard redesign to discourage drivers from speeding. In Proc. CHI '05 Extended Abstracts. New York, NY. ACM. Google ScholarDigital Library
- Nissan, ECO Pedal, http://www.nissan-global.com/EN/NEWS/2008/_STORY/080804--02-e.html (last accessed on 25th May 2009)Google Scholar
- Pace, T., Ramalingam, S., and Roedl, D. 2007. Celerometer and idling reminder: persuasive technology for school bus eco-driving. In Proc. CHI '07 Extended Abstracts. New York, NY, 2085--2090. ACM. Google ScholarDigital Library
- Schmidt, A., Boll, S., Spießl, W.,&Kranz, M. 2008. Automotive User Interfaces and Interactive Applications. In Workshop at the Conference Mensch und Computer 2008.Google Scholar
- Siewiorek, D., Smailagic, A.,&Hornyak, M. 2002. Multimodal Contextual Car-Driver Interface. Multimodal Interfaces, In Proc. Multimodal Interfaces, 367--373. IEEE. Google ScholarDigital Library
- Tester, J., Fogg, B., and Maile, M. 2000. CommuterNews: a prototype of persuasive in-car entertainment. In Proc. CHI '00 Extended Abstracts. New York, NY, 24--25. ACM. Google ScholarDigital Library
- Thorndike, E. L. 1920. A constant error in psychological rating. Journal of Applied Psychology, 4, 25--29.Google ScholarCross Ref
- Toyota, 3rd Generation Prius, http://www.toyota.com/vehicles/minisite/newprius/ (last accessed on 25th May 2009)Google Scholar
- Várhelyi, A., Hjälmdahl, M., Risser, R., Draskóczy, M., Hydén, C.,&Almqvist, S. 2002. The effects of Large Scale use of active accelerator pedal in urban areas. In International Cooperation of Theories and Concepts in Traffic safety (ICTCT) Workshop, Nagoya, Japan, 2002.Google Scholar
- Venkatesh, V., Morris, M. G., Davis, G. B., Davis, F. D. 2003 "User acceptance of information technology: toward a unified view," MIS Quarterly (27:3). 425--478. Google ScholarDigital Library
- Wochinger, K., Boehm-Davis, D. 1997. Navigational preference and driver acceptance of advanced traveler information systems. In Ergonomics and Safety of intelligent Driver interfaces. NJ, 345--362. Google ScholarDigital Library
Index Terms
- Acceptance of future persuasive in-car interfaces towards a more economic driving behaviour
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