Projects per year
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.
Original language | English |
---|---|
Pages (from-to) | 5350-5359 |
Number of pages | 10 |
Journal | IEEE Transactions on Intelligent Transportation Systems |
Volume | 23 |
Issue number | 6 |
DOIs | |
Publication status | Published - 2021 |
Keywords
- Alarm systems
- Australia
- driver distraction
- driver fatigue
- driver warning systems.
- Fatigue
- Human centered design
- Safety
- Task analysis
- Vehicles
- Visualization
Projects
- 1 Finished
-
Development of a future integrated driver monitoring solution for heavy vehicles (CRC-P)
Lenne, M. G. (Primary Chief Investigator (PCI)), Fitzharris, M. (Chief Investigator (CI)) & Horberry, T. (Associate Investigator (AI))
1/07/16 → 28/09/19
Project: Research