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TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts
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We present the TherapyView, a demonstration system to help therapists visualize the dynamic contents of past treatment sessions, enabled by the state-of-the-art neural topic modeling techniques to analyze the topical tendencies of various psychiatric conditions and deep learning-based image generation engine to provide a visual summary. The system incorporates temporal modeling to provide a time-series representation of topic similarities at a turn-level resolution and AI-generated artworks given the dialogue segments to provide a concise representations of the contents covered in the session, offering interpretable insights for therapists to optimize their strategies and enhance the effectiveness of psychotherapy. This system provides a proof of concept of AI-augmented therapy tools with e in-depth understanding of the patient's mental state and enabling more effective treatment.
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Cited by 1 Pith paper
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Fine-Tuning Topics through Weighting Aspect Keywords
An expert-guided topic modeling framework that reweights documents by aspect keywords is demonstrated on quantum communication, but its adaptability claim is weakened by circular evaluation.
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