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Pang, Suk Min
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Computer Science & IT

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Journal : JOIV : International Journal on Informatics Visualization

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Elderly Acceptance of Autonomous Vehicles in Malaysia: An Extended Technology Acceptance Model with Multidimensional Trust and Perceived Risk Ho, Jen Sim; Tan, Booi Chen; Lau, Teck Chai; Khan, Nasreen; Pang, Suk Min
JOIV : International Journal on Informatics Visualization Vol 9, No 2 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.2.3363

Abstract

The emergence of autonomous vehicle technology is propagated to address the needs of the elderly and reduce other negative externalities brought by transportation mobility. However, these benefits would not be realized without widespread acceptance. This research aimed to investigate the factors influencing the acceptance of autonomous vehicles among the elderly in Malaysia. Building on the technology acceptance model with multidimensional trust, perceived risks, and technology anxiety, a sample of 289 elderly people within Klang Valley are included in the model estimation. Results show that the mediating roles of perceived ease of use, perceived usefulness, and attitude between trust in institutions and acceptance are not supported. On the other hand, performance trust indirectly affects acceptance through perceived ease of use, usefulness, and attitude. The multidimensional perceived risks, including perceived performance risk, privacy risk, and technology anxiety, did not support the direct effect on acceptance of autonomous vehicles. These findings validate the role of multi-dimensional trusts and perceived risks in accepting autonomous cars. Trust and perceived risk in autonomous vehicles evolve; thus, a longitudinal study is recommended for future studies to understand better the elderly's acceptance of autonomous vehicles in Malaysia as the industry matures. The findings also provide important insight into industry players who design transport policies. Building trust in autonomous cars focusing on reliability and trustworthiness is vital for widespread acceptance, particularly among the elderly.
A Review of Technology Acceptance Model Application in User Acceptance of Autonomous Vehicles Ho, Jen Sim; Tan, Booi Chen; Lau, Teck Chai; Pang, Suk Min
JOIV : International Journal on Informatics Visualization Vol 9, No 4 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.4.2835

Abstract

Touting the merits of reducing traffic fatalities by eliminating human errors and promoting social benefits, autonomous vehicle technology has been rapidly developed over the last few decades. Using the systematic review approach, this study provides an overview of current studies that apply the Technology Acceptance Model (TAM) in shaping user acceptance of autonomous vehicles. Based on a set of inclusion and exclusion criteria, a total of 16 articles out of 792,364 articles were retained for further analysis. The factors that have garnered the most attention from researchers are the technical and psychological factors, with the most frequent constructs integrated in these studies being perceived ease of use, followed by perceived usefulness, trust, attitude, perceived enjoyment, and perceived innovativeness. This study presents three key findings. The first shows that 36 potential antecedents influencing AV adoption were incorporated into TAM. Excluding the baseline model antecedents, the most studied factors were trust, personal innovativeness, and perceived enjoyment. Trust is widely recognized as a crucial factor in AV adoption and requires longitudinal research, as it is a dynamic element that evolves. The second finding concerns the various causal relationships between the constructs. The results showed mixed outcomes, which may be due to differences in levels of automation examined, geographical contexts, and socio-demographic factors. Third, the gaps identified in Section 4 can guide policymakers, researchers, and automakers in developing effective future strategies and research directions. Ultimately, a deeper understanding of public acceptance can facilitate the safe deployment of AVs on roads, leading to benefits such as improved traffic safety and increased sustainability for society and the economy.  
Co-Authors Ho, Jen Sim Khan, Nasreen Lau, Teck Chai Tan, Booi Chen