Towards Computer Aided Diagnosis of Autism Spectrum Disorder Using Virtual Environments

Roth D, Jording M, Schmee T, Kullmann P, Navab N, Vogeley K (2020)

Publication Type: Conference contribution

Publication year: 2020

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 115-122

Conference Proceedings Title: Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020

ISBN: 9781728174631

DOI: 10.1109/AIVR50618.2020.00029

Abstract

Autism Spectrum Disorders (ASD) are neurodevelopmental disorders that are associated with characteristic difficulties to express and interpret nonverbal behavior, such as social gaze behavior. The state of the art in diagnosis is the clinical interview that is time intensive for the clinicians and does not take into account any objective measures of behavior. We herewith propose an empirical approach that can potentially support diagnosis based on the assessment of nonverbal behavior in avatar-mediated interactions in virtual environments. In a first study, ASD individuals and a typically developed control group were interacting in dyads. Head motion, and eye gaze of both interlocutors were recorded, replicated to the avatars and displayed to the partner through a distributed virtual environment. The nonverbal behavior of both interaction partners was recorded, and resulting preprocessed data was classified with up to 92.9parcent classification accuracy, with the amount of eye area focus and the average horizontal gaze change being the most relevant features. We expect that such systems could improve the diagnostic assessment on the basis of objective measures of nonverbal behavior.

Authors with CRIS profile

Daniel Roth

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Julius-Maximilians-Universität Würzburg DE Germany (DE) Universitätsklinikum Köln DE Germany (DE) Forschungszentrum Jülich / Research Centre Jülich (FZJ) DE Germany (DE)

How to cite

APA:

Roth, D., Jording, M., Schmee, T., Kullmann, P., Navab, N., & Vogeley, K. (2020). Towards Computer Aided Diagnosis of Autism Spectrum Disorder Using Virtual Environments. In Proceedings - 2020 IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020 (pp. 115-122). Institute of Electrical and Electronics Engineers Inc..

MLA:

Roth, Daniel, et al. "Towards Computer Aided Diagnosis of Autism Spectrum Disorder Using Virtual Environments." Proceedings of the 3rd IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2020 Institute of Electrical and Electronics Engineers Inc., 2020. 115-122.

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