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.

我们提出了一种神经符号化目标总结器来支持健康教练跟踪目标，以及一种与患者对话并帮助他们创建和完成特定的体育活动目标的文本单元 - 文本对话生成模型。我们的模型在消除了预定义模式和相应标注的同时，胜过了先前的最先进模型。我们还提出了一个扩展之前工作的新的健康教练数据集，并提出了一个基于数据难度衡量患者回应的不常规性的度量方法，以便在部署期间潜在地提醒教练。