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.
Abstract (translated)
健康教练可以帮助患者实现个性化和生活方式相关目标，有效地管理慢性疾病和缓解心理健康问题。然而，由于其高度个性化和劳动密集的性质，对于低社会经济地位的人口来说，它可能过于昂贵。在本文中，我们提出了一个神经符号目标摘要器来支持健康教练跟踪目标，以及一个文本单元文本对话生成模型，与患者进行交互并帮助他们制定和实现特定的运动活动目标。我们的模型在保持当前最先进水平的同时，消除了需要预定义模式和相关注释的需求。我们还提出了一个新的健康教练数据集，扩展了以前的工作，并定义了一个指标来衡量患者响应的不寻常性，从而在部署过程中促进可能的教练警报。
URL
https://arxiv.org/abs/2404.10268
