Join us for the June Design Engineering lecture on How design for inclusion can lead to key developments in mainstream HCI by Dr Pat Langdon, Cambridge University
Inclusive design is the study of how to increase the number of users who can use everyday computer interaction interfaces without difficulty. This is mainstreaming the otherwise excluded individuals whose capabilities could not match the demands of products and is distinguishable from Universal design.
In this talk I look at how research into the inclusive design of adaptive interaction interfaces for a variety of current research areas such as Aerospace, interactive digital TV, and mobile communications technology, have led to multimodal interface developments that have utility in the wider mainstream HMI.
The IoT will present many challenges for interaction design and this approach has the capability to deal with inclusion and at the same time offers novel solutions to significant new issues that arise from new connected technology, such as facilitating the reduction of cognitive workload and prediction of the user’s intent through the fusion of multiple diverse data sources.
I will illustrate examples of the value of the approach including recent work on predicting pointing in Automotive interfaces HMI with Jaguar Land Rover.
Dr Patrick Langdon is a Principal Research Associate in the Cambridge University Engineering Department Design Centre; Lead researcher in Inclusive Design. His past research has examined the psychological reality of certain Artificial Intelligence-based theories of Computer Vision and Neural-Network algorithms for robot control as well as Computational support for Engineering Design. He is currently working in the areas of modelling inclusive interaction, particularly vision, learning, movement and cognition for inclusive design and computer assistance for motion impaired interface use. Pat is author and lead researcher responsible for a number of projects including:
- Multi modal interfaces for adaptively creating inclusive interfaces for mobile device (IU-ATC) and Interactive digital TV (EU GUIDE);
- Human Machine Interfaces as applied to Automotive displays and controls using signal processing for gestural and pointing intent (MATSA, MATSA2);
- Inclusive Human machine interfaces for the future car (CAPE iHMI project);
- Haptic interfaces for touch audio devices (JLR TADHADIA);
- Psychological models of latent variables in signal processing and machine learning for Automotive (CAPE DIPBLAD.
Currently, he is 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:DAVe) 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.
Dr. Langdon is a member of the Ethics Panel of the Cambridge School of Technology including the Computer Lab, the Engineering Department, The Judge Institute, and other labs including the Cavendish Lab. He has been instrumental in the development of the working practices, principals and governance of this panel over several years. He has been External Examiner for the Kings College London and Guy’s Hospital Intercollegiate MSc in Assistive Technology and teaches Human Factors on the MSc: Safety Engineering in the Nuclear, Rail and Aerospace Industry, at Lancaster University.