Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation

• URL: http://arxiv.org/abs/2404.10268v1
• Date: Tue, 16 Apr 2024 03:46:30 GMT
• Title: Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation
• Authors: Yue Zhou, Barbara Di Eugenio, Brian Ziebart, Lisa Sharp, Bing Liu, Nikolaos Agadakos,
• Abstract summary: Health coaching helps patients achieve personalized and lifestyle-related goals. We propose a neuro-symbolic goal summarizer to support health coaches in keeping track of the goals. We also propose a new health coaching dataset to measure the unconventionality of the patient's response.
• Score: 8.20753105325103
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Health coaching helps patients achieve personalized and lifestyle-related goals, effectively managing chronic conditions and alleviating mental health issues. It is particularly beneficial, however cost-prohibitive, for low-socioeconomic status populations due to its highly personalized and labor-intensive nature. In this paper, we propose a neuro-symbolic goal summarizer to support health coaches in keeping track of the goals and a text-units-text dialogue generation model that converses with patients and helps them create and accomplish specific goals for physical activities. Our models outperform previous state-of-the-art while eliminating the need for predefined schema and corresponding annotation. We also propose a new health coaching dataset extending previous work and a metric to measure the unconventionality of the patient's response based on data difficulty, facilitating potential coach alerts during deployment.

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