Automated vs. Human Health Coaching: Exploring Participant and Practitioner Experiences
Elliot G. Mitchell, Rosa Maimone, Andrea Cassells, Jonathan N. Tobin, Patricia G. Davidson, Arlene M. Smaldone, Lena Mamykina
Abstract
Health coaching can be an effective intervention to support self-management of chronic conditions like diabetes, but there are not enough coaching practitioners to reach the growing population in need of support. Conversational technology, like chatbots, presents an opportunity to extend health coaching support to broader and more diverse populations. However, some have suggested that the human element is essential to health coaching and cannot be replicated with technology. In this research, we examine automated health coaching using a theory-grounded, wizard-of-oz chatbot, in comparison with text-based virtual coaching from human practitioners who start with the same protocol as the chatbot but have the freedom to embellish and adjust as needed. We found that even a scripted chatbot can create a coach-like experience for participants. While human coaches displayed advantages expressing empathy and using probing questions to tailor their support, they also encountered tremendous barriers and frustrations adapting to text-based virtual coaching. The chatbot coach had advantages in being persistent, as well as more consistently giving choices and options to foster client autonomy. We discuss implications for the design of virtual health coaching interventions.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 87c27109-dc5a-4670-a68f-c84188f2389aCited by top-tier papers10
- UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital LibraryQingxiao Zheng, Yiliu Tang, Yiren Liu, Weizi Liu et al.CHI 2022 · 99 citations
- GPTCoach: Towards LLM-Based Physical Activity CoachingMatthew Jörke, Shardul Sapkota, Lyndsea Warkenthien, Niklas Vainio et al.CHI 2025 · 89 citations
- Situating Empathy in HCI/CSCW: A Scoping ReviewUgur Genç, Himanshu VermaCSCW 2024 · 25 citations
- A Systematic Review and Meta-Analysis of Research on Goals for Behavior ChangeJun Zhu, Sruzan Lolla, Meeshu Agnihotri, Sahar Asgari Tappeh et al.CHI 2025 · 14 citations
- Foody Talk: Exploring Opportunities for Conversational Food JournalingLucas M. Silva, Xi Lu, Emily X. Liang, Daniel A. EpsteinCHI 2025 · 9 citations
Related papers
- T2 Coach: A Qualitative Study of an Automated Health Coach for Diabetes Self-ManagementElliot G. Mitchell, Pooja M. Desai, Arlene M. Smaldone, Andrea Cassells et al.CHI 2025 · 10 citations
- Examining AI Methods for Micro-Coaching DialogsElliot G. Mitchell, Noemie Elhadad, Lena MamykinaCHI 2022 · 17 citations
- Exploring the Effects of Incorporating Human Experts to Deliver Journaling Guidance through a ChatbotYi-Chieh Lee, Naomi Yamashita, Yun HuangCSCW 2021 · 28 citations
- Understanding How eHealth Coaches Tailor Support For Weight Loss: Towards the Design of Person-Centered Coaching SystemsKathleen Ryan, Samantha Dockray, Conor LinehanCHI 2022 · 26 citations
- An LLM-Based Motivation-Aware Framework For AI Coaching For Behaviour ChangeVan Hoang, Eoin Rogers, Robert J. RossCHI 2026 · 2 citations
