This study presents a systematic approach for analyzing eye movements in the context of fear generalisation and predicting Social Interaction Anxiety Scale (SIAS) scores. Leveraging principles from foraging theory, we introduce a composite Ornstein-Uhlenbeck (O-U) process as a computational model for social anxiety assessment based on eye-tracking data. Through Bayesian analysis, we infer the model parameters and identify a feature set for SIAS score prediction. The results demonstrate the effectiveness of our approach, achieving promising performance using Random Forest (RF) classification. This research offers a novel perspective on gaze analysis for social anxiety assessment and highlights the potential of gaze behaviour as a valuable modality for psychological evaluation.

Pain and Fear in the Eyes: Gaze Dynamics Predicts Social Anxiety from Fear Generalisation / S. Patania, A. D'Amelio, V. Cuculo, M. Limoncini, M. Ghezzi, V. Conversano, G. Boccignone (LECTURE NOTES IN COMPUTER SCIENCE). - In: Image Analysis and Processing - ICIAP 2023 Workshops / [a cura di] G.L. Foresti, A. Fusiello, E. Hancock. - Cham : Springer Science and Business Media Deutschland GmbH, 2024 Jan 24. - ISBN 978-3-031-51022-9. - pp. 133-144 (( Intervento presentato al 22. convegno Proceedings of the International Conference on Image Analysis and Processing, ICIAP tenutosi a Udine : 11-15 Settembre nel 2023 [10.1007/978-3-031-51023-6_12].

Pain and Fear in the Eyes: Gaze Dynamics Predicts Social Anxiety from Fear Generalisation

S. Patania
Primo
;
A. D'Amelio
Secondo
;
V. Cuculo;G. Boccignone
Ultimo
2024

Abstract

This study presents a systematic approach for analyzing eye movements in the context of fear generalisation and predicting Social Interaction Anxiety Scale (SIAS) scores. Leveraging principles from foraging theory, we introduce a composite Ornstein-Uhlenbeck (O-U) process as a computational model for social anxiety assessment based on eye-tracking data. Through Bayesian analysis, we infer the model parameters and identify a feature set for SIAS score prediction. The results demonstrate the effectiveness of our approach, achieving promising performance using Random Forest (RF) classification. This research offers a novel perspective on gaze analysis for social anxiety assessment and highlights the potential of gaze behaviour as a valuable modality for psychological evaluation.
Anxiety disorders; Eye movements; Fear generalisation; Pain; Visual foraging
Settore INF/01 - Informatica
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
24-gen-2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/1029358
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