TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts
This addresses the need for therapists to better understand patient mental states and enhance treatment effectiveness, though it appears incremental as it applies existing AI techniques to a new domain.
The authors tackled the problem of helping therapists visualize therapy session contents by developing TherapyView, a system that uses neural topic modeling and AI-generated art to provide temporal topic representations and visual summaries, resulting in a proof-of-concept tool for optimizing psychotherapy strategies.
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.