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Driver acceptance of car navigation systems: integration of locational accuracy, processing speed, and service and display quality with technology acceptance model

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Abstract

By utilizing and extending the technology acceptance model, this study introduces a new integrated model that analyzes driver acceptance of car navigation systems. The current study conducts in-depth interviews and explores psychological factors that may be significantly related to the usability of car navigation systems. Data collected from 1,181 drivers via an online survey are statistically analyzed using structural equation modeling. Results indicate that the proposed research model accurately predicts driver acceptance of car navigation systems. The model identifies perceived processing speed and locational accuracy of car navigation systems as key psychological constructs, and reveals that satisfaction plays a moderate role. Theoretical implications and practical implications for improving car navigation systems are discussed.

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Acknowledgments

A preliminary version of this paper was presented at the International Conference on IT Convergence and Security 2012 (ICITCS’12) [5].

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Authors and Affiliations

  1. Graduate School of Innovation and Technology Management, Korea Advanced Institute of Science and Technology (KAIST), #2101, College Building 2 (N5, I&TM), 335 Gwahakno, Yuseong-gu, Daejeon, 305-701, Republic of Korea

    Eunil Park

  2. Department of Interaction Science, Sungkyunkwan University, #326, International Hall, Myeongnyun-dong 3-ga, Jongno-gu, Seoul, 110-745, Republic of Korea

    Ki Joon Kim

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  1. Eunil Park
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Correspondence to Eunil Park.

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Park, E., Kim, K.J. Driver acceptance of car navigation systems: integration of locational accuracy, processing speed, and service and display quality with technology acceptance model. Pers Ubiquit Comput 18, 503–513 (2014). https://doi.org/10.1007/s00779-013-0670-2

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  • DOI: https://doi.org/10.1007/s00779-013-0670-2

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