Motivational interviewing is a self-centered counseling conversational style to help patients and health consumers to realize behaviors and beliefs that may be contributing to their health outcomes. Using a conversation-first style approach, we are developing dialogue interaction models that could be integrated for AI-based conversational agents and potentially be used as training material for clinicians. Our focus is on helping health consumers realize the impact of their consumption of sugar-sweetened beverages (SSB) and encourage light exercises. Future work is to translate these models for machine readability toward the use of conversational agents.
Review and revision of the first iteration
- Jay Yu (University of Texas Health Science Center at Houston)
- Jane Hamilton (University of Texas Health Science Center at Houston)
- Tracey Ledoux (University of Houston)
- Tuan Amith (University of Texas Medical Branch)
Research was supported by National Institutes of Health under award #R21DK134815
The interaction patterns in this repository is released under the GPLv3 (or later) license. See license for more details.