Pat Langdon

pat langdon

Dr Pat Langdon

Professor of Engineering Design, Transportation, and Inclusion Head of Transportation Research Institute

Biography

Professor Patrick Langdon is a Professor of Engineering Design, Transportation, and Inclusion at Edinburgh NAPIER School of Engineering and the Built Environment (SEBE). 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
Ergonomics for Engineering
o Safety engineering
o Engineering interfaces design

Date


5 results

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...

A framework for collecting inclusive design data for the UK population

Journal Article
Langdon, P., Johnson, D., Huppert, F., & Clarkson, P. J. (2015)
A framework for collecting inclusive design data for the UK population. Applied Ergonomics, 46, 318-324. https://doi.org/10.1016/j.apergo.2013.03.011
Successful inclusive product design requires knowledge about the capabilities, needs and aspirations of potential users and should cater for the different scenarios in which p...

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...