Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women
Kai-Hui Liang, Patrick Lange, Yoo Jung Oh, Jingwen Zhang, Yoshimi Fukuoka, Zhou Yu
Abstract
Artificial intelligence chatbots are the vanguard in technology-based intervention to change people’s behavior. To develop intervention chatbots, the first step is to understand natural language conversation strategies in human conversation. This work introduces an intervention conversation dataset collected from a real-world physical activity intervention program for women. We designed comprehensive annotation schemes in four dimensions (domain, strategy, social exchange, and task-focused exchange) and annotated a subset of dialogs. We built a strategy classifier with context information to detect strategies from both trainers and participants based on the annotation. To understand how human intervention induces effective behavior changes, we analyzed the relationships between the intervention strategies and the participants’ changes in the barrier and social support for physical activity. We also analyzed how participant’s baseline weight correlates to the amount of occurrence of the corresponding strategy. This work lays the foundation for developing a personalized physical activity intervention chatbot.- Anthology ID:
- 2021.sigdial-1.5
- Volume:
- Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Month:
- July
- Year:
- 2021
- Address:
- Singapore and Online
- Editors:
- Haizhou Li, Gina-Anne Levow, Zhou Yu, Chitralekha Gupta, Berrak Sisman, Siqi Cai, David Vandyke, Nina Dethlefs, Yan Wu, Junyi Jessy Li
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 32–44
- Language:
- URL:
- https://aclanthology.org/2021.sigdial-1.5
- DOI:
- 10.18653/v1/2021.sigdial-1.5
- Cite (ACL):
- Kai-Hui Liang, Patrick Lange, Yoo Jung Oh, Jingwen Zhang, Yoshimi Fukuoka, and Zhou Yu. 2021. Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women. In Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 32–44, Singapore and Online. Association for Computational Linguistics.
- Cite (Informal):
- Evaluation of In-Person Counseling Strategies To Develop Physical Activity Chatbot for Women (Liang et al., SIGDIAL 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2021.sigdial-1.5.pdf
- Code
- KaihuiLiang/physical-activity-counseling