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All Journal JOIV : International Journal on Informatics Visualization
Khan, Nasreen
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Computer Science & IT

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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.
Adopt E-Mental Health Services: Factors Shaping Intention to Engage Samsudin, Rahimah; Khan, Nasreen; Subbarao, Anusuyah; Chen, Tan Booi Chen Booi; Obreja, Serban Georgică
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3374

Abstract

E-Mental Health (eMH) tools are increasingly vital in providing scalable mental health support. This study aims to examine the factors influencing users’ intention to engage with eMH services. Specifically, it investigates the effects of six reflective first-order dimensions: Accessibility, Communication, Affordability, Flexibility, Custom Belief, and Government Support on the reflective second-order construct: Intention to Engage in E-Mental Health. Using data from 100 respondents, Partial Least Squares Structural Equation Modelling (PLS-SEM) was employed to test the hypothesized relationships and assess the strength of each contributing factor. The results show that Accessibility, Communication, and Flexibility are the most influential predictors of engagement. Affordability and Custom Belief demonstrate moderate but positive impacts, while Government Support plays a complementary role. These findings provide critical insight into user-centered design priorities for eMH platforms, particularly in enhancing user retention and accessibility. Practical applications include the development of multilingual mobile applications, culturally adaptive cognitive-behavioral therapy tools, and enhanced digital communication pathways. This study contributes to the understanding of how both infrastructural and personal belief factors can drive engagement. It also highlights the importance of holistic system support in digital mental health ecosystems. For future research, it is recommended to explore user engagement across diverse demographic and cultural settings and to examine the effectiveness of emerging technologies such as AI-driven chatbots and virtual reality therapies. Additionally, policy-level interventions should be further evaluated to strengthen the implementation and sustainability of digital mental health services.
Co-Authors Chen, Tan Booi Chen Booi Ho, Jen Sim Lau, Teck Chai Obreja, Serban Georgică Pang, Suk Min Samsudin, Rahimah Subbarao, Anusuyah Tan, Booi Chen