Dr Ruth Madigan
Research Fellow - Human Factors of Vehicle Automation
Phone: +44 (0) 113 34 32071
Room: 2.11
Email: R.Madigan@leeds.ac.uk_
Research Group: Human Factors and Safety
Key Research Interests
- Human factors of highly automated driving
- Driver's Hazard Perception skill - particularly the investigation of potential training techniques to improve novice drivers' performance
- Skill acquisition and training techniques
- Driver situation awareness - investigating how increased automation impacts on drivers' ability to maintain situation awareness and re-engage with the driving task when necessary
- Workload management - particularly in train and car drivers
Employment History
- 2015-present, Research Fellow, Institute for Transport Studies, University of Leeds
- 2013-2015, Knowledge Transfer Partnership Associate, Human Factors Research Group, University of Nottingham
Education
- PhD, Learning to drive: From hazard detection to hazard handling, University College Cork, 2014
- MSc in Occupational Psychology, University of Sheffield, 2007
- BSc (Hons) Applied Psychology, University College Cork, 2005
Research Projects and Experience
- AdaptIVe (Jan. 2014- Jun. 2017; started July 2015). This European research project aims to achieve major breakthroughs leading to more efficient and safer automated driving (Co-funded by the European Commission as part of the Seventh Framework Programme). Involved in human-vehicle integration workpackage which investigates how driver's intentions and actions should be taken into account in the design of partly, highly and fully automated vehicles
- Knowledge Transfer Partnership (Sept. 2013 - July2015) focused on the design, implementation and evaluation of a methodology for incorporating a non-technical skills programme into competency management systems across the rail industry (funded by InnovateUK)
Papers
- Louw T; Markkula G; Boer E; Madigan R; Carsten O; Merat N (2017) Coming back into the loop: Drivers’ perceptual-motor performance in critical events after automated driving, Accident Analysis and Prevention, 108, pp.9-18. doi: 10.1016/j.aap.2017.08.011
- Madigan R; Louw T; Dziennus M; Schieben A; Merat N (2017) What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of Automated Road Transport Systems, Transportation Research Part F: Traffic Psychology and Behaviour, 50, pp.55-64. doi: 10.1016/j.trf.2017.07.007
- Louw T; Madigan R; Carsten O; Merat N (2017) Were they in the loop during automated driving? Links between visual attention and crash potential, Injury Prevention, 23, pp.281-286. doi: 10.1136/injuryprev-2016-042155
- Madigan R; Golightly D; Madders R (2016) Application of Human Factors Analysis and Classification System (HFACS) to UK rail safety of the line incidents, Accident Analysis and Prevention, 97, pp.122-131. doi: 10.1016/j.aap.2016.08.023
- Stephens AN; Trawley SL; Madigan R; Groeger JA (2013) Drivers Display Anger-Congruent Attention to Potential Traffic Hazards, Applied Cognitive Psychology, 27, pp.178-189. doi: 10.1002/acp.2894
Book Chapters
- Merat N; Madigan R; Nordhoff S (In press) Human factors, user requirements, and user acceptance of ride-sharing in automated vehicles, ITF Discussion Papers, International Transport Forum.
Conference Papers
- Madigan R; Louw T; Dziennus M; Graindorge T; Ortega E; Graindorge M; Merat N (2016) Acceptance of Automated Road Transport Systems (ARTS): An Adaptation of the UTAUT Model, Transportation Research Procedia 14, pp.2217-2226. doi: 10.1016/j.trpro.2016.05.237
- Madigan R; Golightly D; Madders R (2015) Rail industry requirements around non-technical skills, In: Sharples S; Shorrock S; Waterson P (Ed) Contemporary Ergonomics and Human Factors 2015 pp.474-481.