Pat Langdon

pat langdon

Dr Pat Langdon

Professor

Biography

Professor Patrick Langdon is Director of the Transport Research Institute.
He is a Professor of Engineering Design, Transportation, and Inclusion at Edinburgh NAPIER School of Engineering and the Built Environment (SEBE).
He currently leads on Ethics and Integrity for SEBE and the School of Computing.

He is an Experimental Psychologist and has worked in AI, Robotics and Engineering Design for over 20 Years. Historically he has led research in Inclusive Design and contributed to its literature. His current research concerns the application of Cognitive science and AI to multidisciplinary areas of research such as the design, use and provision for Autonomous vehicles in current transportation planning. Multidisciplinary research centred on Engineering is a key theme in his research and his goal is to foster new programmes of research in this area.

Inclusive Design, Ergonomics and Human Factors;
Human Machine Interfaces for Human Factors;
Autonomy - Smart and Connected Control Designing Autonomy in Vehicles;
How to design HMI to interface drivers with autonomous vehicles;
Predictions and visualisation of Automotive designs in the future;
Touchscreens for vibrating automotive applications;
Intent aware displays in the context of 3D pointing at in-vehicle touchscreens or controls;
The design of vehicle HMI that can accommodate inclusive users;
Intent prediction and lifestyle identification algorithms for automotive use, based on Bayesian learning methods;
Human centred design and interfaces for unusual environments including emergency first-response;
IT support for disaster management and global challenges such as land-slide prediction;
Formative ethics for research with human participation in Schools of Technology;

Teaching Area:

Human Factors in Engineering
Engineering Inclusive design
Inclusion Ergonomics
Ergonomics for Engineering
o Safety engineering
o Engineering interfaces design

Date


11 results

Supporting Iterative Virtual Reality Analytics Design and Evaluation by Systematic Generation of Surrogate Clustered Datasets

Conference Proceeding
Tadeja, S. K., Langdon, P., & Kristensson, P. O. (2021)
Supporting Iterative Virtual Reality Analytics Design and Evaluation by Systematic Generation of Surrogate Clustered Datasets. In 2021 IEEE International Symposium on Mixed and Augmented Reality (ISMAR) (376-385). https://doi.org/10.1109/ismar52148.2021.00054
Virtual Reality (VR) is a promising technology platform for immersive visual analytics. However, the design space of VR analytics interface design is vast and difficult to exp...

6G Opportunities Arising from Internet of Things Use Cases: A Review Paper

Journal Article
Barakat, B., Taha, A., Samson, R., Steponenaite, A., Ansari, S., Langdon, P. M., …Keates, S. (2021)
6G Opportunities Arising from Internet of Things Use Cases: A Review Paper. Future Internet, 13(6), https://doi.org/10.3390/fi13060159
The race for the 6th generation of wireless networks (6G) has begun. Researchers around the world have started to explore the best solutions for the challenges that the previo...

OESDs in an on-road study of semi-automated vehicle to human driver handovers

Journal Article
Stanton, N. A., Brown, J. W., Revell, K. M. A., Kim, J., Richardson, J., Langdon, P., …Thompson, S. (in press)
OESDs in an on-road study of semi-automated vehicle to human driver handovers. Cognition, Technology and Work, https://doi.org/10.1007/s10111-021-00682-z
Design of appropriate interaction and human–machine interfaces for the handover of control between vehicle automation and human driver is critical to the success of automated ...

Designing Interaction and Interfaces for Automated Vehicles: User-Centred Ecological Design and Testing

Book
Stanton, N. A., Revell, K. M. A., & Langdon, P. (Eds.)
(2021). Designing Interaction and Interfaces for Automated Vehicles: User-Centred Ecological Design and Testing. Boca Raton, FL: CRC Press. https://doi.org/10.1201/9781003050841
Driving automation and autonomy are already upon us and the problems that were predicted twenty years ago are beginning to appear. These problems include shortfalls in expecte...

Breaking the cycle of frustration: Applying Neisser's Perceptual Cycle Model to drivers of semi-autonomous vehicles

Journal Article
Revell, K. M., Richardson, J., Langdon, P., Bradley, M., Politis, I., Thompson, S., …Stanton, N. A. (2020)
Breaking the cycle of frustration: Applying Neisser's Perceptual Cycle Model to drivers of semi-autonomous vehicles. Applied Ergonomics, 85, https://doi.org/10.1016/j.apergo.2019.103037
Semi-autonomous cars are already on the road and highly autonomous cars will soon be with us. Little is understood about how drivers will adapt to the changing relationship wi...

Unconstrained design: improving multitasking with in-vehicle information systems through enhanced situation awareness

Journal Article
Skrypchuk, L., Langdon, P., Sawyer, B. D., & Clarkson, P. J. (2020)
Unconstrained design: improving multitasking with in-vehicle information systems through enhanced situation awareness. Theoretical Issues in Ergonomics Science, 21(2), 183-219. https://doi.org/10.1080/1463922x.2019.1680763
In the age of information, in-vehicle multitasking is inevitable. The popularity of the automobile, in combination with the present information age, create a growing demand to...

Enabling multitasking by designing for situation awareness within the vehicle environment

Journal Article
Skrypchuk, L., Langdon, P., Sawyer, B. D., Mouzakitis, A., & Clarkson, P. J. (2019)
Enabling multitasking by designing for situation awareness within the vehicle environment. Theoretical Issues in Ergonomics Science, 20(2), 105-128. https://doi.org/10.1080/1463922x.2018.1485984
In the driving environment, competition exists between Driving Related Activities (DRAs) and Non-Driving Related Activities (NDRAs). This is a source of inattention and human ...

In with the new? Generational differences shape population technology adoption patterns in the age of self-driving vehicles

Journal Article
Ruggeri, K., Kácha, O., Menezes, I. G., Kos, M., Franklin, M., Parma, L., …Miles, J. (2018)
In with the new? Generational differences shape population technology adoption patterns in the age of self-driving vehicles. Journal of Engineering and Technology Management, 50, 39-44. https://doi.org/10.1016/j.jengtecman.2018.09.001
With rapid growth of self-driving vehicle technologies, policymakers and industry are actively engaging the public to understand attitudes toward smart mobility. As public off...

Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework

Journal Article
Ahmad, B. I., Murphy, J. K., Godsill, S., Langdon, P. M., & Hardy, R. (2017)
Intelligent Interactive Displays in Vehicles with Intent Prediction: A Bayesian framework. IEEE Signal Processing Magazine, 34(2), 82-94. https://doi.org/10.1109/msp.2016.2638699
Using an in-vehicle interactive display, such as a touch screen, typically entails undertaking a freehand pointing gesture and dedicating a considerable amount of attention, t...

Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles

Journal Article
Ahmad, B. I., Murphy, J. K., Langdon, P. M., Godsill, S. J., Hardy, R., & Skrypchuk, L. (2016)
Intent Inference for Hand Pointing Gesture-Based Interactions in Vehicles. IEEE Transactions on Cybernetics, 46(4), 878-889. https://doi.org/10.1109/tcyb.2015.2417053
Using interactive displays, such as a touchscreen, in vehicles typically requires dedicating a considerable amount of visual as well as cognitive capacity and undertaking a ha...