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Engineering Design Centre

Dr Patrick Langdon


Dr Patrick Langdon

Dr Patrick Langdon

Principal Research Associate

Research groups: Automotive Design Group, Inclusive Design Group
Telephone: +44 1223 766961

Departmental webpage

Dr Patrick Langdon (Principal Research Associate)


  • BSc. (Hons.), in Psychology, University of Sheffield, 1984
  • Ph.D., in Experimental Psychology, University of Sheffield, 1989

Pat Langdon's experimental doctoral and post-doctoral research has contributed to cognitive science, artificial intelligence, robotics and psychophysical studies of the human visual system. His experimental PhD researched the psychological reality of certain Artificial Intelligence-based theories of vision and he was employed by an Artificial Intelligence Vision Research Unit at the University of Sheffield working on the area of robotics. Subsequently, he moved into Engineering Design Research at the University of Lancaster EDC, working on the application of AI and user centred design principles to complex engineering design systems. Since 1998 Pat Langdon has been employed at the Cambridge EDC, where he has pursued a number of research directions. These include:

  1. The properties and design of Haptic interfaces for use in accessible computer displays for the movement disabled(CAMIU);
  2. The representation and formulation of statistical data on disability, for use in Inclusive Design(i~DESIGN 2)
  3. Integration of software development and empirical methodology for Good Design Research Practice (EDC PLATFORM GRANT);
  4. Inclusive design theory and research on structure and survey of data for capability assessment (i~design III);
  5. Developing scales for product-capability interaction assessment in design (i~design III) 
  6. Multi modal interfaces for adaptively creating inclusive interfaces for mobile device (IU-ATC) and Interactive digital TV (EU GUIDE)
  7. Human Machine Interfaces as applied to Automotive displays and conrols using signal processing for gestural and pointing intent (MATSA, MATSA2)
  8. Inclusive Human machine interfaces for the future car (CAPE iHMI project)
  9. Haptic interfaces for touch audio devices (JLR TADHADIA)
  10. Psychological models of latent vatiables in signal processing and machine learning for Automotive (CAPE DIPBLAD)


My appointment to Principal Researcher has consolidated and extended this role as PI or Co-PI of 5 projects I currently  continue to be primarily responsible for leading, managing and coordinating research staff (post doctoral RA’s, UK collaborators; EU collaborators) in carrying out project requirements, and obtained future funding for continuity of employment of Researchers. This involves regular conference participation and publication of journal articles in high impact journals; invited talks and editorial roles for journal special editions; and research reviews for UK, EU, and international research councils. The research I have generated is internationally acknowledged to be leading in the field of inclusive design and universal computer access and accessibility. New application demands have brought renewed relevance of the early work on accessibility of interfaces for older an impaired individuals, to the wider research issues. From the start my research has involved my personally recruiting and forming consortia of appropriate partners from the UK, EU and internationally, for multidisciplinary research. My direct industry collaborations also involve multinationals, local industry, and Charities. Since 2004 I have been author and Co-Investigator of a number of new funded projects:

1) the 4 year EPSRC EQUAL “i~design 3” consortium, which Cambridge led and I managed.
2) On the strength of prior work on haptic feedback devices I was invited to author the Cambridge of the EU FP7 GUIDE IDTV Project "Gentle user interfaces for elderly people";
3) Also on the basis of research reputation, I was invited to join phase 2 of the elite (EPSRC/DST IU-ATC) India-UK Advanced Technology Centre, researching UI technology  to support wireless, novel adaptive user interfaces.
4) By invitation I devised and ran the  2.5 year Evo-HMI project for  BAESYSTEMS (1.5 PDRA’s): multimodal cockpit HMI
5) By invitation EPSRC  ITaaU network funded : Uplands Rescue Resilience beacon networks for gsm blackspots
6) By invitation, I am the originator, manager, and author of three CAPE funded, Jaguar Land Rover projects employing 3 PDRA’s:
a) JLR MATSA, : CO-PI: Motion adaptive touchscreens for automotive applications; PI for MATSA2  Intent aware displays in the context of 3D pointing at in-vehicle touchscreens or controls
b) JLR iHMI: To research and illustrate the technologies that offer opportunities to inclusively customise and personalise the in-vehicle experience and to explore the design of vehicle HMI that can accommodate to the different tastes, needs and goals of users.
c) JLR DIPBLAD co-investigated with Signal Processing Group: aims to develop a number of driver profiling, intent prediction and lifestyle identification algorithms based on Bayesian learning methods for a series of Self Learning Car (SLC) functionalities

Currently, I am co-investigator and lead researcher for the successful bid for The joint EPSRC/Jaguar Land Rover funded programme, Towards Autonomy - Smart and Connected Control (TASCC), Designing Autonomy in Vehicles (HI:DAV) consortium. This is a joint collaboration between the EDC and University of Southampton; running until 2019, that will conduct research into, and optimise practical solutions for, the difficult problem of how to interface drivers with automated vehicles. A key objective is to understand users’ preferences, performance and capabilities in the use of autonomous vehicle control interfaces. Then, to use the inclusive and ecological design processes, within the DCOG paradigm, to develop HMI technology to accommodate these variations and to deliver empirically tested prototypes to stakeholders in ready-to-use formats.

I am editor of a series of books in the field on Universal Accessibility and Assistive Technology based on a series of International Workshops in Inclusion and Engineering Design up to 2016; I have recently published journal and conference papers in IwC, JAT, JED, HCI Signal processing, and Engineering design, and given numerous invited seminars. I continues to publish conference or journal papers, in assistive technology, HIC, Universal accessibility, signal processing and engineering Design with various collaborators including researchers from the University of Cambridge and other international Universities. I supervise, co-supervise or advise a number of EDC PhD students working in such diverse areas as: "Prior experience in product learning for inclusion; User and designer's mental models; Improving motivation in ageing software users; Inclusive design capability scaling; Modelling cognition of users interaction with mobile touch-screen devices; Mapping medical and other models of capability to functional models for design"; HMI for situation awareness in Automotive.

I have acted as examiner for a number of PhD's for the University of Cambridge and other Universities, including the Univeristies of Bremen, (Germany) Lancaster, Bristol and Leeds.  I have been External Examiner for the Kings College London and Guy's Hospital Intercollegiate MSc in Assistive Technology and am currently responsible for teaching the Human Factors module for the Lancaster University MSc in Safety Engineering for Nuclear, Aerospace and Railway industries. I currently hold one filed patent:   in conjunction with Jaguar Land Rover and The University of Cambridge, and collaborators Dr Patrick Langdon, Dr Bashar Ahmad and Professor Simon Godsill: PATENT EP2700528 A2: Vehicular manipulation input apparatus. (Details adaptive smoothing of input device movements for inclusive populations).


I have been involved in reviewing collaboratively with other leading UK researchers as departmental representatives, a scheme for developing and planning the Ethical approval system for the School of Technology University of Cambridge. This has involved collaborating to establish an Ethical code and Guidelines for researchers in the form of a Human Participants in Technology and Physical Sciences Ethics page. The School of Technology Ethical Review Panel has now been put in place in the department with a rotating chair and I am currently  and responsible for coordinating Ethical approval for research in Division C and the Engineering Department on a daily basis. 

Selected Publications

Pat Langdon, Jonathan Lazar, Ann Heylighen, Hua Dong,(Eds.)  “Designing Around People”, CWUAAT 2016, Editors: ISBN: 978-3-319-29496-4


Ahmad BI, Langdon PM, Godsill SJ, Hardy R, Dias E, Skrypchuk L , (2015),Interactive displays in vehicles: Improving usability with a pointing gesture tracker and Bayesian intent predictors, AutomotiveUI 2014 - 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, in Cooperation with ACM SIGCHI - Proceedings. Association for Computing Machinery, Inc. 17 Sep 2014

Ahmad BI, Langdon PM, Bunch P, Godsill SJ, (2014),  Probabilistic intentionality prediction for target selection based on partial cursor tracks, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8515 LNCS(PART 3):427-438 201

LANGDON, OCHU, The Social Life of I.T. DE2014, London - ITaaU showcase, Pat Langdon, UCC2014: ITaaU Network+ sponsored symposium, University of Cambridge – mountain rescue – “Using Wireless Networks to Support First Responders and Resilience in Upland Areas”  RCUK Digital Economy programme. Dec2014.

2013 LANGDON, PM., JOHNSON, D., HUPPERT, F. and CLARKSON, P.J. (2013) 'A framework for collecting inclusive design data for the UK population' in Applied Ergonomics. Appl Ergon. 2013 Apr 26. pii: S0003-6870(13)00050-1. doi: 10.1016


Bergmann JHM, Langdon PM, Mayagoitia RE, Howard N (2014) Exploring the Use of Sensors to Measure Behavioral Interactions: An Experimental Evaluation of Using Hand Trajectories. PLoS ONE 9(2): e88080. doi:10.1371/journal.pone.0088080

Tenneti, R., Langdon, P., Waller, S., Deane, J., Ruggeri, K., Clarkson, J., & Huppert, F.A. (2013), “Design and delivery of a national pilot survey of capabilities” International Journal of Human Factors and Ergonomics 2(4), 281-305.

WOLLNER, P.K.A., LANGDON, P.M. and CLARKSON, P.J. (2014) 'A combinatory approach to assessing user performance of digital interfaces' in Inclusive designing. Joining usability, accessibility, and inclusion, 39-48, In LANGDON, P.M., LAZAR, J., HEYLIGHEN, A. and DONG, H. (2014) 'Inclusive designing. Joining usability, accessibility, and inclusion', Springer, London, 978-3-319-05094-2

GOLDHABER, T., LANGDON, P.M. and CLARKSON, P.J. (2014) 'Gender issues in ICT adoption: A literature review' in Inclusive designing. Joining usability, accessibility, and inclusion, 59-68, In: LANGDON, P.M., LAZAR, J., HEYLIGHEN, A. and DONG, H. (2014) 'Inclusive designing. Joining usability, accessibility, and inclusion', Springer, London, 978-3-319-05094-2

LANGDON, P., PERSAD, U., and P. J. CLARKSON (2010), Developing a model of cognitive interaction for analytical inclusive design, v22, Special Edition of Interacting with Computers: Inclusion and Interaction - Designing Interaction for Inclusive Populations, pp510-529, Elsevier.

LANGDON, P., CLARKSON, P.J. and ROBINSON, P. (2007) 'Designing accessible technology' in Universal Access in the Information Society, 6 (2), 117-217 (1615-5289)

BISWAS, P., and LANGDON,P., (2011), A new input system for disabled users involving eye gaze tracker and scanning interface, Journal of Assistive Technologies, Vol. 5 Issue 2 June 2011, ISSN: 1754-9450.

LANGDON,P., THIMBLEBY, H., (2010), Inclusion and Interaction: Designing Interaction for Inclusive Populations, Editorial for Special Edition of Interacting with Computers, V22, pp439-448, Elseveir.

LANGDON,P., LEWIS, T., and CLARKSON, P.J., (2010). Prior experience in the use of domestic product interfaces. Universal Access in the Information Society 9(3): 209-225.

PERSAD, U., LANGDON, P.M. and CLARKSON, P.J. (2007)'Characterising user capabilities to support inclusive design evaluation' in Universal Access in the Information Society, 6 (2), 119-137 (1615-5289)

LANGDON, P., LEWIS, T. and CLARKSON, P.J. (2007) 'The effects of prior experience on the use of consumer products' in Universal Access in the Information Society, 6 (2), 179-191 (1615-5289)

HWANG, F., KEATES, S., LANGDON, P.M. and CLARKSON, P.J. (2005) 'A submovement analysis of cursor trajectories' in Behaviour and Information Technology, 24 (3), 205 - 217 (Springer)

LANGDON, P.M., KEATES, S., CLARKSON, P.J., ROBINSON, P. Investigating the cursor movement parameters for haptic assistance of motion-impaired users. In: Integration of Assistive Technology in the Information Age. Amsterdam, The Netherlands. M. Mokhtari, (ed.), IOS Press, 9: p. 237-242, (2001). ISBN-1-58603-171-6.

LANGDON, P., CHAKRABARTI, A. Improving access to design solution spaces using visualisation and data reduction techniques. Proceedings, 13th International Conference on Engineering Design (ICED 2001. Glasgow, Scotland, UK.,pp 3-10.

KEATES S, LANGDON P, CLARKSON PJ, ROBINSON P (2002) User models and user physical capability. Journal of User Modeling and User-Adapted Interaction (UMUAI), Special issue 1: Empirical evaluation of User Models, Wolters Kluwer, 12, 139-169, 2002.

LANGDON, P.M., BRACEWELL, R. H., DUFFY, M. J. W.,SHARPE, J. E. E. An Integrated Design Platform for the Conceptual Design of Complex Mechatronic Systems. Proceedings of in Second International Conference on Mechatronics and Machine Vision in Practice (M2VIP'95), Hong Kong, City University of Hong Kong, Vol1, pp333-338, 1995.

LANGDON, P.M., MAYHEW, J.E.W., and FRISBY, J.P. In Search of 'Characteristic View' 3D Object Representations in Human Vision Using Ratings of Perceived Difference Between Views. In, Mayhew, J.E.W., and Frisby, J.P. (Eds.), 3D model Recognition from Stereoscopic Cues. MIT Press. 1991.

DEAN, P., MAYHEW, J.E.W., and LANGDON, P.M Learning and Maintaining Saccadic Accuracy: A Model of Brainstem-Cerebellar Interactions. Journal of Cognitive Neuroscience, Vol 6:2, pp. 117-138. MIT.1994.