Customer Acceptance of Driver State Monitoring Systems in Malaysia: A Technology Acceptance Model Perspective

Authors

Mohd Fariduddin Mukhtar

Fakulti Pengurusan Teknologi dan Teknousahawanan, Universiti Teknikal Malaysia Melaka, Melaka (Malaysia)

Nur Hazwani Mokhtar

Fakulti Teknologi dan Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Melaka (Malaysia)

Sayed Kushari Sayed Nordin

Fakulti Teknologi dan Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Melaka; and Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505 (Malaysia, Japan)

Article Information

DOI: 10.47772/IJRISS.2025.92800026

Subject Category: Technology

Volume/Issue: 9/28 | Page No: 272-280

Publication Timeline

Submitted: 2025-11-10

Accepted: 2025-11-22

Published: 2025-12-19

Abstract

Driver State Monitoring Systems (DSMS) are high-tech in-car systems that are designed to improve the safety of the road by alerting the driver to fatigue, distraction, and unsafe driving. Despite the growing international use of DSMS, the adoption among users in Malaysia is still not empirically studied yet, although road safety issues in the country continue to be a challenge. This paper uses the Technology Acceptance Model (TAM) to test the acceptance of Malaysian drivers toward the use of DSMS. An online survey was used to gather 564 licensed drivers’ data which was analyzed using Structural Equation Modeling (SEM). Findings suggest that the perceived usefulness (PU) has a greater impact on the attitudes towards DSMS, as opposed to the perceived ease of use (PEOU). Attitude in its turn is a major predictor of purchase intention, which highlights its key influence on the adoption behavior. These results indicate that it is important to emphasize the usefulness of DSMS to build acceptance in Malaysia. Further research must be carried out to expand this study, to incorporate cultural, behavioral, and ethical aspects of the adoption of DSMS.

Keywords

Driver State Monitoring Systems (DSMS),

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