VR & EEG

Mixed Computer Science Methods in the Evaluation of Facial Emotion Expression Recognition

Authors

  • Sean Haddick Nottingham Trent University, United Kingdom
  • David J Brown Nottingham Trent University, United Kingdom
  • James Lewis Nottingham Trent University, United Kingdom
  • Bonnie Connor Nottingham Trent University, United Kingdom
  • Simon Schofield Nottingham Trent University, United Kingdom

DOI:

https://doi.org/10.54337/aau.icdvrat26.26

Abstract

Facial Emotion Expression Recognition is widely agreed to be one aspect of social function that is impaired within the usual characterisation of Autism Spectrum Disorder. The ”Reading the Mind in the Eyes” test is used to this day in the diagnostic process. However, it disregards temporal data, has potential test format effects, and only observes performance rather than underlying behavioral triggers. With the increasing prevalence of VR and EEG tools, including this temporal data and investigating brain activity during testing may result in novel methods to investigate impairments in social function. This paper outlines a study protocol to be used to investigate the application of said tools to this purpose.

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Published

14-09-2026

How to Cite

Haddick, S., Brown, D. J., Lewis, J., Connor, B., & Schofield, S. (2026). VR & EEG: Mixed Computer Science Methods in the Evaluation of Facial Emotion Expression Recognition. Proceedings of the International Conference on Disability, Virtual Reality & Associated Technologies. https://doi.org/10.54337/aau.icdvrat26.26