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• W3126459491 abstract "Driver fatigue and distraction are major road safety issues globally; developing driver state detection and warning technology to help reduce impairment-related incidents is a promising approach. The aim of this case study was to design an effective Human Machine Interface (HMI) for a near-market driver warning system primarily aimed at commercial truck driving. A human-centered design (HCD) process was employed for the development and evaluation. Application of HCD here was a multi-stage iterative process: a comprehensive literature review; developing a context of use description; undertaking truck driver interviews; identifying user needs and associated design requirements; conducting two design workshops; operationalizing the design; running HMI evaluation studies, and finalizing the HMI concepts. As a result of the iterative HCD process, the HMI comprises a multi-modal warning system (visual, auditory and tactile) with two levels for driver fatigue and an escalating system for driver distraction. Following this successful HCD process, further on-road evaluation work is proposed before the final version of the HMI is manufactured." @default.
• W3126459491 created "2021-02-15" @default.
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• W3126459491 date "2022-06-01" @default.
• W3126459491 modified "2023-10-14" @default.
• W3126459491 title "Human-Centered Design for an In-Vehicle Truck Driver Fatigue and Distraction Warning System" @default.
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• W3126459491 doi "https://doi.org/10.1109/tits.2021.3053096" @default.
• W3126459491 hasPublicationYear "2022" @default.
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