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How will the public respond to in-vehicle fatigue detection technology?

Author

Listed:
  • Sprajcer, M.
  • Muchinguri, M.
  • Vincent, G.E.
  • Naweed, A.

Abstract

Fatigue detection technology (FDT) uses physiological, behavioural and/or performance data to detect and mitigate fatigue-related risks, typically in drivers. As an emerging technology, its application has tended to concentrate on the organisational and industrial context of professional driving. However, FDT is evolving towards general consumer vehicle integration, and understanding how the public may react to it is important for identifying potential issues and ensuring its design enhances road safety in both concept and practice. Six semi-structured focus groups were conducted with Australian road users (n = 23) to understand factors impacting FDT acceptance and uptake, in addition to identifying potential implications for policy and practice. Thematic analysis identified a total of 10 factors across the individual and broader system levels. Findings suggest that the public has ambivalence towards FDT, holding strong positive and negative views. While firm beliefs were held about the potential safety benefits of FDT, individual-level challenges associated with data privacy, the everyday user experience, and accuracy of the technology were identified. Moreover, system-level factors, such as the regulatory landscape and built environment were seen as potentially impacting acceptance and uptake. Notably, many of the beliefs held may not wholly reflect the capabilities of the technology or regulatory practices. Regulatory agencies may need to consider public education about the usage and capabilities of FDT for it to be accepted by consumers, in addition to establishing clear guidance and regulation around use.

Suggested Citation

  • Sprajcer, M. & Muchinguri, M. & Vincent, G.E. & Naweed, A., 2025. "How will the public respond to in-vehicle fatigue detection technology?," Technology in Society, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:teinso:v:81:y:2025:i:c:s0160791x25000594
    DOI: 10.1016/j.techsoc.2025.102869
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    References listed on IDEAS

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    1. Sujanie Peiris & Janneke Berecki-Gisolf & Stuart Newstead & Bernard Chen & Brian Fildes, 2021. "Development of a Methodology for Estimating the Availability of ADAS-Dependent Road Infrastructure," Sustainability, MDPI, vol. 13(17), pages 1-18, August.
    2. Gheorghe-Daniel Voinea & Cristian Cezar Postelnicu & Mihai Duguleana & Gheorghe-Leonte Mogan & Radu Socianu, 2020. "Driving Performance and Technology Acceptance Evaluation in Real Traffic of a Smartphone-Based Driver Assistance System," IJERPH, MDPI, vol. 17(19), pages 1-20, September.
    3. Klein, Amarolinda & Sørensen, Carsten & Freitas, Angilberto Sabino de & Pedron, Cristiane Drebes & Elaluf-Calderwood, Silvia, 2020. "Understanding controversies in digital platform innovation processes: The Google Glass case," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    4. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
    5. Marent, Benjamin & Henwood, Flis & Darking, Mary, 2018. "Ambivalence in digital health: Co-designing an mHealth platform for HIV care," Social Science & Medicine, Elsevier, vol. 215(C), pages 133-141.
    6. Zhang, Lei & Tong, Hangyan & Liang, Yuqing & Qin, Quande, 2023. "Consumer purchase intention of new energy vehicles with an extended technology acceptance model: The role of attitudinal ambivalence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 174(C).
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