A Novel, Voice-Activated Smart Home Assistant Using a Large Language Model for Nutrition Assistance
Malnutrition is a prevelant issue in older adults, as it can lead to adverse health effects such as heart disease, high blood pressure, and diabetes. To address this concerning issue, we propose a novel smart home assistant using Google's Gemini to provide nutritional guidance to a user. Results find that the proposed system can provide the user more in-depth answers - specifically in the case of recipe assistance - than Amazon Alexa and Google Nest. This indicates the potential for the proposed system to assist in combating malnutrition, by providing conversational answers to smart home inquiries.
Authors
- Dylan Smith (ORCID: https://orcid.org/0000-0003-2628-8375)
- Emily Francis (ORCID: https://orcid.org/0000-0002-7123-781X)
- Nicholas A. Kennedy (ORCID: https://orcid.org/0000-0003-4368-1961)
- Kenneth Clark
- Ramana Reddy
- Jay Bhardwaj
- Hugo Carducci
- Tim Thai
Institutions
- West Virginia University (US)
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1109/ghtc62424.2024.10771529
- Citations
- 1
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.35