Building a virtual psychological counselor by integrating EEG emotion detection with large-scale NLP models

Peiran Lin; Liwen Yang

doi:10.1117/12.3013169

8 January 2024 Building a virtual psychological counselor by integrating EEG emotion detection with large-scale NLP models

Peiran Lin, Liwen Yang

Author Affiliations +

Proceedings Volume 12924, Third International Conference on Biological Engineering and Medical Science (ICBioMed2023); 129241X (2024) https://doi.org/10.1117/12.3013169
Event: 3rd International Conference on Biological Engineering and Medical Science (ICBioMed2023), 2023, ONLINE, United Kingdom

Abstract

Depression is a common psychological disorder, and the combination of psychological help and medication is the main approach to treat depression. However, traditional psychological counseling requires professional therapists to spend much time with patients, and the demand for therapists exceeds the supply. Therefore, this paper proposes a virtual psychotherapist architecture: combining EEG emotion detection and NLP large models to detect the patient's emotions in real time and adjust AI communication strategies to provide psychological counseling to patients. This paper introduces EEG emotion detection from several aspects, such as emotion models, EEG feature extraction, databases, emotion elicitation methods, and classification models. It also reviews the development of NLP large models in recent years. Then, it presents the theoretical methods for constructing a virtual psychotherapist using EEG emotion detection combined with NLP large models: the direct suggestion method and the prompt method. Finally, it points out the current problems and future development directions of virtual psychotherapists.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peiran Lin and Liwen Yang "Building a virtual psychological counselor by integrating EEG emotion detection with large-scale NLP models", Proc. SPIE 12924, Third International Conference on Biological Engineering and Medical Science (ICBioMed2023), 129241X (8 January 2024); https://doi.org/10.1117/12.3013169

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