With the increased adoption of voice assistants in people's homes such as Amazon Alexa and Google Home, conversational agents (CA) bring numerous opportunities to support health management in everyday settings. We present our ongoing effort on developing the Tailorable Autonomous Motivational Interviewing Conversational Agent (TAMICA). TAMICA incorporates Motivational Interviewing (MI) techniques to help parents strategize tailored healthy eating goals for their families. The system is accompanied by a tailoring interface designed for parents to tailor the MI script and the agent's communicative behaviors. We are in the process of recruiting parents of children under the age of 18 to investigate the usability and feasibility of TAMICA. We present the system and the study protocol of this usability and feasibility testing.
|Original language||English (US)|
|Title of host publication||Proceedings of the 14th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2020|
|Publisher||Association for Computing Machinery|
|Number of pages||4|
|State||Published - May 18 2020|
|Event||14th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2020 - Virtual, Online, United States|
Duration: Oct 6 2020 → Oct 8 2020
|Name||PervasiveHealth: Pervasive Computing Technologies for Healthcare|
|Conference||14th EAI International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2020|
|Period||10/6/20 → 10/8/20|
Bibliographical noteFunding Information:
This work has in part been funded by NSF IIS #1622626.
© 2020 ACM.
- Conversational Agents
- Motivational Interviewing