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The Influence of Smart Car Technologies on Drivers’ Perceived Control and Attachment

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  • Lee, So-Eun
  • Kim, Seongcheol

Abstract

Connected to various media technologies such as smart phones or navigation systems, automobiles today are transforming into so-called 'smart cars'. Smart cars are not just mechanical devices, but information media systems. The smart car is a prosthesis that assists the driver, enhancing the original function of the car, and provides a new place environment to the driver by composing a hybrid space where information space and actual space are fused. This article focuses on the fact that smart cars have all the media, functional, and spatial attributes. It is important to understand what smart car technologies are currently used and utilized by people, and how they affect drivers’ perception. To examine the issue, an online survey of 340 drivers was conducted, with a focus on perceived control and attachment, as well as on the possession and the use of 14 smart car technologies. The results of hierarchical regression analysis reveal that the possession of smart car technologies influences on drivers’ perception of control and attachment, regardless of the actual use. Based on the results, this article discusses the implications and the limitations, together with the practical suggestion for smart car system construction.

Suggested Citation

  • Lee, So-Eun & Kim, Seongcheol, 2017. "The Influence of Smart Car Technologies on Drivers’ Perceived Control and Attachment," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168509, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsp17:168509
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    References listed on IDEAS

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    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Schouten, John W & McAlexander, James H, 1995. "Subcultures of Consumptions: An Ethnography of the New Bikers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 22(1), pages 43-61, June.
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    Keywords

    Smart car; use of media technologies; hybrid space; control; attachment;
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