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An Examination of Psychological Factors Affecting Drivers’ Perceptions and Attitudes Toward Car Navigation Systems

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IT Convergence and Security 2012

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 215))

Abstract

To examine drivers’ perceptions of and attitudes toward car navigation systems, the present study integrated perceived satisfaction and perceived locational accuracy into a modified technology acceptance model, and investigated hypothesized causal paths proposed by the research model with data collected from an online survey (N = 1,204). Results from the structural equation modeling indicated that perceived satisfaction and locational accuracy played crucial roles in determining perceived ease of use and perceived usefulness of the navigation systems. Implications and limitations are discussed.

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References

  1. Adrados C, Girard I, Gendner JP, Janeau G (2002) Global positioning system (GPS) location accuracy improvement due to selective availability removal. CR Biol 325(2):165–170

    Article  Google Scholar 

  2. Kupper A (2005) Location-based services. Willey, Chichester

    Book  Google Scholar 

  3. Kawasaki H, Murao M, Ikeuchi K, Sakauchi M (2001) Enhanced navigation system with real images and real-time information. In: Proceedings of the 8th world congress on intelligent transport systems, pp 1–11

    Google Scholar 

  4. Nobuyuki K, Tomohiro Y, Osamu S, Andrew L (2000) A driver behavior recognition meth-od based on a driver model framework. SAE Trans 109(6):469–476

    Google Scholar 

  5. Autos.ca, Product Review: five in-car navigation systems http://www.autos.ca/auto-articles/product-review-five-in-car-navigation-systems

  6. Nowakowski C, Utsui Y, Green P (2000) Navigation system destination entry: the effects of driver workload and input devices, and implications for SAE recommended practice (Technical Report UMTRI-2000-20). University of Michigan, Transportation Research Institute, Ann Arbor

    Google Scholar 

  7. Magellan, MiTAC International Corporation http://www.magellangps.com/

  8. iSuppli, Automotive Infotainment & Telematics http://www.isuppli.com/automotive-infotainment-and-telematics/pages/navigation-telematics-and-digital-entertainment.aspx

  9. Ariyoshi H, Iwaskaki A, Sugihara T, Ohe H, Sakamoto M (1988) Car navigation system. NEC Tech J 41:149–159

    Google Scholar 

  10. Narzt W, Pomberger G, Ferscha A, Kolb D, Müller R, Wieghardt J, Hörtner H, Lindinger C (2004) A new visualization concept for navigation systems. Lect Notes Comput Sci 3196:440–451

    Article  Google Scholar 

  11. Robertson DP, Cipolla R (2004) An image-based system for urban navigation. In: Proceedings of the 2004 BMVC

    Google Scholar 

  12. Gilliéron PY, Merminod B (2003) Personal navigation system for indoor application. In: Proceedings of the 11th IAIN world congress, pp 1–15

    Google Scholar 

  13. Davis F (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340

    Article  Google Scholar 

  14. Davis F (1993) User acceptance of information technology: system characteristics, user perceptions and behavioral impacts. Int J Man Mach Stud 38:475–487

    Article  Google Scholar 

  15. Koufaris M (2003) Applying the technology acceptance model and flow theory to online consumer behavior. Inf Syst Res 13(2):205–223

    Article  Google Scholar 

  16. Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci 46:186–204

    Article  Google Scholar 

  17. Park E, Kim KJ, Jin D, del Pobil AP (2012) Towards a successful mobile map service: an empirical examination of technology acceptance model. Commun Comput Inf Sci 293:420–428

    Article  Google Scholar 

  18. Park E, Kim S, del Pobil AP (2011) Can I go there? The effects of digital signage on psychology of wayfinding users. J Next Gener Inf Technol 2(4):47–58

    Article  Google Scholar 

  19. Chiu CM, Hsu M, Sun S, Lin T, Sun P (2005) Usability, quality, value and e-learning continuance decisions. Comput Educ 45:399–416

    Article  Google Scholar 

  20. LaBarbera P, Mazursky D (1983) A Longitudinal assessment of consumer satisfaction/dissatisfaction: the dynamic aspect of the cognitive process. J Mark Res 24:393–404

    Article  Google Scholar 

  21. Loomis JM, Silva JA, Philbeck JW, Fukusima SS (1996) Visual perception of location and distance. Curr Dir Psychol Sci 5:72–77

    Article  Google Scholar 

  22. Park E, del Pobil AP (2012) Modeling the user acceptance of long-term evolution (LTE) services. Ann Telecommun 1–9

    Google Scholar 

  23. Hair JF, Black WC, Babin BJ, Anderson RE (2006) Multivariate data analysis. Prentice Hall, Upper Saddle River

    Google Scholar 

Download references

Acknowledgments

This research was partly supported by WCU program via the NRF of Korea funded by the KMEST (R31-2008-000-10062-0), by Ministerio de Ciencia e Innovacion (DPI2011-27846), by Generalitat Valenciana (PROMETEO/2009/052) and by Fundacio Caixa Castello-Bancaixa (P1-1B2011-54).

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Correspondence to Eunil Park .

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Park, E., Kim, K.J., del Pobil, A.P. (2013). An Examination of Psychological Factors Affecting Drivers’ Perceptions and Attitudes Toward Car Navigation Systems. In: Kim, K., Chung, KY. (eds) IT Convergence and Security 2012. Lecture Notes in Electrical Engineering, vol 215. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5860-5_66

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  • DOI: https://doi.org/10.1007/978-94-007-5860-5_66

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-5859-9

  • Online ISBN: 978-94-007-5860-5

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