Citation

Abdul Razak, Siti Fatimah and Yogarayan, Sumendra and Abdullah, Mohd Fikri Azli and Azman, Afizan (2022) Modeling User Acceptance of In-Vehicle Applications for Safer Road Environment. Future Internet, 14 (5). p. 148. ISSN 1999-5903

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Abstract

Driver acceptance studies are vital from the manufacturer’s perspective as well as the driver’s perspective. Most empirical investigations are limited to populations in the United States and Europe. Asian communities, particularly in Southeast Asia, which make for a large proportion of global car users, are underrepresented. To better understand the user acceptance toward in-vehicle applications, additional factors need to be included in order to complement the existing constructs in the Technology Acceptance Model (TAM). Hypotheses were developed and survey items were designed to validate the constructs in the research model. A total of 308 responses were received among Malaysians via convenience sampling and analyzed using linear and non-linear regression analyses. Apart from that, a mediating effect analysis was also performed to assess the indirect effect a variable has on another associated variable. We extended the TAM by including personal characteristics, system characteristics, social influence and trust, which could influence users’ intention to use the in-vehicle applications. We found that users from Malaysia are more likely to accept in-vehicle applications when they have the information about the system and believe that the applications are reliable and give an advantage in their driving experience. Without addressing the user acceptance, the adoption of the applications may progress more slowly, with the additional unfortunate result that potentially avoidable crashes will continue to occur.

Item Type:	Article
Uncontrolled Keywords:	In-vehicle application, driver assistance, technology acceptance, regression analysis, statistical evaluation
Subjects:	T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL787-4050 Astronautics. Space travel
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	05 Jul 2022 02:03
Last Modified:	01 Aug 2022 00:34
URII:	http://shdl.mmu.edu.my/id/eprint/10140

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