Contact Dr Christopher Burns
Background
Chris is a research fellow in the Industrial Psychology and Human Factors (IPHF) group within SATM. His background is in cognitive psychology, individual differences, research methods and psychophysiological techniques (BA, MRes Strathclyde University; PhD University of Edinburgh). Chris has previously worked in projects in medical simulation, autonomous vehicles and software development and usability. Currently, Chris is primarily working on the MASTERLY project (https://masterly-project.eu/) in industrial collaborative robotics, examining human factors aspects of industrial operators' user experience and acceptance of novel robotic systems, and also on the FEROX project.
Research opportunities
Chris's research interests also include the emerging use of machine- and deep-learning in psychophysiological analysis and user state classification, human-computer interface design and usability, and the application of a variety of psychophysiological techniques - HRV, fNIRS, EEG, SCR, eye-tracking etc. Most recently, he has been expanding his knowledge of qualitative data in supplementing quantitative methods.
Publications
Articles In Journals
- Perello-March J, Burns CG, Woodman R, Birrell S & Elliott MT. (2024). How Do Drivers Perceive Risks During Automated Driving Scenarios? An fNIRS Neuroimaging Study. Human Factors: The Journal of the Human Factors and Ergonomics Society, 66(9)
- Perello-March J, Burns CG, Woodman R, Birrell S & Elliott MT. (2024). How do drivers perceive risks during automated driving scenarios? An fNIRS neuroimaging study. Human Factors, 66(9)
- Perello-March JR, Burns CG, Woodman R, Elliott MT & Birrell SA. (2022). Using fNIRS to verify trust in highly automated driving. IEEE Transactions on Intelligent Transportation Systems, 24(1)
- Perello-March JR, Burns CG, Birrell SA, Woodman R & Elliott MT. (2022). Physiological Measures of Risk Perception in Highly Automated Driving. IEEE Transactions on Intelligent Transportation Systems, 23(5)
- Perello-March JR, Burns CG, Woodman R, Elliott MT & Birrell SA. (2022). Driver State Monitoring: Manipulating Reliability Expectations in Simulated Automated Driving Scenarios. IEEE Transactions on Intelligent Transportation Systems, 23(6)
- Oliveira L, Burns C, Luton J, Iyer S & Birrell S. (2020). The influence of system transparency on trust: Evaluating interfaces in a highly automated vehicle. Transportation Research Part F: Traffic Psychology and Behaviour, 72
- Oliveira L, Proctor K, Burns CG & Birrell S. (2019). Driving Style: How Should an Automated Vehicle Behave?. Information, 10(6)
- Black CS, Lehane DJ, Burns C & O'Donnell BD. (2018). An examination of the effect of open versus paywalled access publication on the disseminative impact and citation count of publications in intensive care medicine and anesthesia. Journal of Critical Care, 46
- Fairclough SH, Burns C & Kreplin U. (2018). FNIRS activity in the prefrontal cortex and motivational intensity: impact of working memory load, financial reward, and correlation-based signal improvement. Neurophotonics, 5(03)
- Burns CG & Fairclough SH. (2015). Use of auditory event-related potentials to measure immersion during a computer game. International Journal of Human-Computer Studies, 73
Conference Papers
- Perello-March J, Burns C, Elliott M & Birrell S. (2020). Integrating Trust in Automation into Driver State Monitoring Systems
- Burns CG, Oliveira L, Thomas P, Iyer S & Birrell S. (2019). Pedestrian Decision-Making Responses to External Human-Machine Interface Designs for Autonomous Vehicles
- Oliveira L, Luton J, Iyer S, Burns C, Mouzakitis A, .... (2018). Evaluating How Interfaces Influence the User Interaction with Fully Autonomous Vehicles
- Fairclough SH & Burns CG. (2013). Decomposing immersion
Books
- Burns CG, Oliveira L, Hung V, Thomas P & Birrell S. (2020). Pedestrian Attitudes to Shared-Space Interactions with Autonomous Vehicles – A Virtual Reality Study In Advances in Intelligent Systems and Computing (964). Springer International Publishing.
- Fairclough S, Ewing K, Burns C & Kreplin U. (2019). Neural Efficiency and Mental Workload In Neuroergonomics. Elsevier.
- Fairclough S, Ewing K, Burns C & Kreplin U. (2019). Chapter 12 Neural Efficiency and Mental Workload Locating the Red Line In Neuroergonomics. Elsevier.