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arXiv 2302.10845cs.CLcs.AIcs.HCcs.LG

TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts

Columbia University(哥伦比亚大学);IBM TJ Watson Research Center(IBM托马斯·J·沃森研究中心)

Baihan Lin, Stefan Zecevic, Djallel Bouneffouf, Guillermo Cecchi

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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