TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts
February 21, 2023 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo Cecchi
arXiv ID
2302.10845
Category
cs.CL: Computation & Language
Cross-listed
cs.AI,
cs.HC,
cs.LG
Citations
6
Venue
arXiv.org
Last Checked
5 months ago
Abstract
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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