The goal of the Technology-Assisted Motivational Interviewing (TAMI) project is to develop and evaluate automated motivational interviewing for family health. TAMI will help users find personalized motivations and strategies that can help develop healthier habits for oneself and the family.
Eating and physical activity are current foci of interest. The target population includes parents with children in elementary school age. We are using an open source voice user interface software and hardware to preserve privacy, where all user interactions take place locally without the need to connect to the Internet.
Here’s a demo:
Institutional Review Boards (IRBs) of both Michigan State University and Drexel University have approved to conduct preliminary user testing of our TAMI prototype.
We are developing community-engaged research with the neighborhoods and existing community health initiatives in Philadelphia to understand how our health technology approach can meet the needs and the priorities of the communities.
Interested in joining the project?
Either as a student, faculty, or as a community who might be interested in partnering with the project, please send email to Jina Huh-Yoo (For Philadelphia folks: email@example.com) or Tsui-Sui Kao (For Michigan folks: firstname.lastname@example.org) to discuss your interests.
Bi C, Xing G, Hao T, Huh J, Peng W, Ma M, Chang X. FamilyLog: Monitoring Family Mealtime Activities by Mobile Devices. IEEE Transactions on Mobile Computing. 2019 May 14. link
Huh J, Koola J, Contreras A, Castillo AK, Ruiz M, Tedone KG, Yakuta M, Schiaffino MK. Consumer Health Informatics Adoption among Underserved Populations: Thinking beyond the Digital Divide. Yearb Med Inform. 2018 Aug;27(1):146-155. link
Bi C, Xing G, Hao T, Huh J, Peng W, Ma M. FamilyLog: A Mobile System for Monitoring Family Mealtime Activities. Proc IEEE Int Conf Pervasive Comput Commun. 2017 Mar;2017:21-30. link
Michigan State University Trifecta grant “**” 2019-2020 PI: Kao
NSF IIS #1622626 “SCH: INT: Collaborative Research: Unobtrusive Sensing and Motivational Feedback for Family Wellness.” 2016-2018 PI: Huh-Yoo
NSF IIS #1622659 “SCH: INT: Collaborative Research: Unobtrusive Sensing and Motivational Feedback for Family Wellness.” 2016-2020 PI: Xing, Co-PI: Peng
Nursing: Tsui-Sui Annie Kao, PhD, FNP-BC Michigan State University (MSU)
Communication theory: Wei Peng, PhD | Minjin Rheu, PhDc | Ji Youn Shin, PhDc MSU
Human-computer interaction: Jina Huh-Yoo, MHCI, PhD | Diva Smriti, PhDc Drexel University
Natural language processing: Jake Williams, PhD | Munif Mujib, PhDc Drexel University
Development: Maegan Johnson, BSc MSU
Acoustic mobile sensing: Guoliang Xing, PhD The Chinese University of Hong Kong