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Author David Large, Catherine Harvey, Hannah Parr, Iris Jestin, Elizabeth Box |
| Abstract Driver monitoring systems (DMS) are increasingly embedded in modern vehicles and safety assessment frameworks, yet little is known about how drivers themselves understand these systems and how their beliefs shape usage, trust and acceptance. Ten focus groups (n = 30 UK drivers, aged 20–79) were conducted in which pictorial storyboards depicting five generic driver monitoring scenarios (fatigue, distraction, cognitive decline, intoxication and data privacy) were shown to participants, who were then asked to discuss what they thought was happening, how they thought it was happening, and why they thought it was happening. Findings suggest that drivers perceived DMS as socio-technical systems shaped by behaviour, context, interface design and data governance, with acceptance driven more by trust, autonomy and expectations than detection accuracy. Drivers highlighted fluctuating states and subjective self-assessment, indicating binary “fit/unfit” judgements poorly reflect real-world driving. Transparent, advisory and explainable systems were favoured, while opaque inferences, intrusive monitoring and unclear data use reduced trust. Findings will be used to inform the design of a large-scale survey to measure acceptance. |
