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.

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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
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A Novel, Voice-Activated Smart Home Assistant Using a Large Language Model for Nutrition Assistance

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A Novel, Voice-Activated Smart Home Assistant Using a Large Language Model for Nutrition Assistance

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article en
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Abstract

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.

West Virginia University (US)
Zero hunger
Openalex Percentile: Top 31%
AI in Service Interactions
0.35
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