Human Factors and Sustainable Safety

Led by Professor Jennie Oxley, the MUARC Human Factors and Sustainable Safety team uses a human factors approach to explore the interface between people and technology within complex and dynamic environments, focusing on understanding the system surrounding the individual, and the factors that support and constrain safety behaviour.

The team's research extends to the safety of people at home, at work and the land transport environment. They have a focus on identifying practicable and feasible solutions to help organisations, regulatory agencies and government bodies address their safety needs.

Expertise

The team draws on research expertise in human factors, using a variety of methods to understand systems under investigation, including on-road testing, driving simulation, surveys, crash investigations, vehicle performance testing, participatory ergonomics design, structured interviews, stakeholder consultation and human factors methods, such as cognitive task analysis, and interface and usability assessment.

TEAM LEAD

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Research Capabilities

  • Development of system-thinking tools to investigate incidents resulting in injury involving workplace violence and aggression, work-related driving crashes and patient handling.
  • The cognition and motivation behind unsafe cycling and driving behaviours.
  • Developing a deeper understanding of driver anxiety and avenues to support anxious drivers.
  • Simulator studies using MUARC car, motorcycle, bike, automation and truck simulator platforms.
  • The safety benefits of vehicle automation.
  • Safe design of equipment, tasks, and systems.
  • Impairment related to alcohol/drugs and fatigue/drowsiness.
  • Driver/operator decision-making, error and situation awareness.
  • Driver and pedestrian distraction related to in-vehicle devices and external sources.
  • The design and evaluation of advanced driver assistance systems and information systems, including driver acceptance of in-vehicle technology.
  • Development of methods to model operator performance in complex systems.
  • Understanding visuospatial skills of drivers with dementia - development of approaches to support safe mobility.
  • Motorcycle safety on-road and off-road.
  • Evaluation of driver licensing systems.

PROJECTS

PUBLICATIONS