(Click on title to view paper or abstract where available)

Come and Meet Us at these upcoming conferences!

No Upcoming Conferences

Previously Presented

Applied Human Factors and Ergonomics (AHFE) July 2019 Washington USA

Neville A. Stanton, Rich C. McIlroy, Brenda Bunyasi, Md. Shamsul Hoque, Adnan Yousaf, Nam Vũ Hoài Special Session: Sociotechnical Approach to Road Safety

James Brown, Neville Stanton & Kirsten Revell : Development of a Prototype Steering Wheel for Simulator-Based Usability Assessment

Kaduk, S., I., Roberts, A.,P., Stanton, N., Surviving in Frankenstein’s Lab- How to Build and Use a Laboratory That Applies Multiple Physiological Sensors

World Conference on Transport Research (WCTR) May 2019 Mumbai

Rich C. McIlroy, Shahnewaz Hasanat-E-Rabbi, Linyang Wang, Sylvia Anyika, Do Duy Dinh, Neville A. Stanton Special Session: A sociotechnical approach to road safety: International perspectives

Ergonomics and Human Factors 2019, 29th April – 1st May, Stratford-Upon-Avon

Rich C. McIlroy, Katherine L. Plant, and Neville A. Stanton Attitudes, perceptions, fatalism, and behaviours: Some early findings

James Brown, Neville Stanton & Kirsten Revell Software Analysis of Racing Drivers’ Interfaces using Link Analysis and Fitts’ Law

Joy Richardson, Katherine L. Plant & Neville A. Stanton Measuring Distributed Situation Awareness in Roller Derby Teams – A Pilot Study of Novel Data Collection (Doctoral Consortium)

20th Congress of the International Ergonomics Association, Florence, 26th – 30th August, 2018

Rich C. McIlroy, Katherine L. Plant, and Neville A. Stanton. Revealing the Complexity of Road Transport with Accimaps

The 6th International Conference on Driver Distraction and Inattention 2018, Gothnberg. 15-17 October 2018

Parnell, K.J., Stanton N.A., and Plant, K.L. A sociotechnical systems approach to distraction: Theory, methods & recommendations

2018 International Conference on Applied Human Factors and Ergonomics. 21-25 July, 2018. US, Orlando

Clark, Jediah, RichardStanton, Neville and Revell, Kirsten. Handover assist trials in highly automated vehicles: participant recommendations for future design

Rich C. McIlroy, Katie L. Plant, & Neville A. Stanton. Encouraging eco-driving: The case for accelerator–based haptic information

Pope, K., Roberts, A., & Stanton, N. Investigating Temporal Implications of Information Transition in Submarine Command Teams

Parnell, K.J., Plant, K.L., Banks, V.A. and Stanton N.A. Identifying subjective measures of human performance used in the aviation domain

Allison C. K., & Stanton, N. A. Using Cognitive Work Analysis to Inform Policy Recommendations to Support Fuel-Efficient Driving

Brown, J., Stanton, N., & Revell, K. (2018). A review of the physical, psychological and psychophysiological effects of motorsport on drivers and their potential influences on cockpit interface design

Jediah R. Clark, Neville A. Stanton, and Kirsten M.A. Revell. Handover Assist in Highly Automated Vehicles: How Vocal Communication Guides Visual Attention

Kaduk, S., I., Stanton, N., Roberts, A.,P., Safe look of driver’s eyes Semi-automated driving- EOG and eye-tracker in driver state monitoring

Revell, K., Langdon, P., Bradley, M., Politis, I., Brown, J., Thompson, S., Skrypchuk, L., Mouzakitis, A. and Stanton, N., UCEID-The Best of Both Worlds: Combining Ecological Interface Design with User Centered Design in a Novel HF Method Applied to Automated Driving

Ergonomics and Human Factors 2018, 23-25 April 2018, Birmingham

Kiome A. Pope, Aaron P.J. Roberts & Neville A. Stanton. An assessment of workload in a simulated submarine control room

Craig K. Allison, Neville A. Stanton, James M. Fleming, Xingda Yan, Forough Goudarzi & Roberto Lot Inception, Ideation and Implementation; Developing Interfaces to Improve Drivers’ Fuel Efficiency

Brown, J., Stanton, N., & Revell, K. (2018). The usability of F1 interfaces

Kirsten Revell, Joy Richardson, Pat Langdon, Mike Bradley , Ioannis Politis, Simon Thompson, Lee Skrypchuk, Jim O’Donoghue, Alex Mouzakitis & Neville Stanton. “That was scary…” exploring driver-autonomous vehicle interaction using the Perceptual Cycle Model