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Register a new userSummarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches
تلخيص أهداف التغيير السلوكي من التبادلات الرسائل القصيرة لدعم المدربين الصحيين
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يرتبط النشاط البدني المنتظم مع انخفاض خطر الإصابة بالأمراض المزمنة مثل مرض السكري من النوع 2 وتحسين الرفاه الذهني.ومع ذلك، فإن أكثر من نصف سكان الولايات المتحدة غير نشط بشكل كاف.كان التدريب الصحي ناجحا في تعزيز السلوكيات الصحية.في هذه الورقة، نقدم عملنا نحو مساعدة المدربين الصحية عن طريق استخراج هدف النشاط البدني للمستخدم والتفاوض على الرسائل النصية.نظهر أن المعلومات التي تم التقاطها عن طريق أعمال الحوار يمكن أن تساعد في تحسين نتائج استخراج الأهداف.نحن نوظف نماذج تعلم الآلة التقليدية والمتنفسية على حد سواء للتنبؤ بأعمال الحوار وإيجادها بإطلاقها إذاعة في الأداء على مجموعة بيانات التدريب الصحي الخاصة بنا.علاوة على ذلك، نناقش التعليقات المقدمة من المدربين الصحية عند تقييم صحة ملخصات الأهداف المستخرجة.هذا العمل هو خطوة نحو بناء مدرب صحي مساعد افتراضي لتعزيز نمط حياة صحي.
Regular physical activity is associated with a reduced risk of chronic diseases such as type 2 diabetes and improved mental well-being. Yet, more than half of the US population is insufficiently active. Health coaching has been successful in promoting healthy behaviors. In this paper, we present our work towards assisting health coaches by extracting the physical activity goal the user and coach negotiate via text messages. We show that information captured by dialogue acts can help to improve the goal extraction results. We employ both traditional and transformer-based machine learning models for dialogue acts prediction and find them statistically indistinguishable in performance on our health coaching dataset. Moreover, we discuss the feedback provided by the health coaches when evaluating the correctness of the extracted goal summaries. This work is a step towards building a virtual assistant health coach to promote a healthy lifestyle.
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