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Healthcare"],"published-print":{"date-parts":[[2026,4,30]]},"abstract":"<jats:p>\n                    Growing awareness of wellness has prompted people to consider whether their dietary patterns align with their health and fitness goals. In response, researchers have introduced various wearable dietary monitoring systems and dietary assessment approaches. However, these solutions are either limited to identifying foods with simple ingredients or insufficient in providing an analysis of individual dietary behaviors with domain-specific knowledge. In this article, we present\n                    <jats:italic toggle=\"yes\">DietGlance<\/jats:italic>\n                    , a system that automatically monitors dietary behaviors in daily routines and delivers personalized analysis from knowledge sources.\n                    <jats:italic toggle=\"yes\">DietGlance<\/jats:italic>\n                    first detects ingestive episodes from multimodal inputs using eyeglasses, capturing privacy-preserving meal images of various dishes being consumed. Based on the inferred food items and consumed quantities from these images,\n                    <jats:italic toggle=\"yes\">DietGlance<\/jats:italic>\n                    further provides nutritional analysis and personalized dietary suggestions, empowered by the retrieval-augmented generation module on a reliable nutrition library. A short-term user study (N = 33) and a 4-week longitudinal study (N = 16) demonstrate the usability and effectiveness of\n                    <jats:italic toggle=\"yes\">DietGlance<\/jats:italic>\n                    , offering insights and implications for future AI-assisted dietary monitoring and personalized healthcare intervention systems using eyewear.\n                  <\/jats:p>","DOI":"10.1145\/3797883","type":"journal-article","created":{"date-parts":[[2026,3,2]],"date-time":"2026-03-02T13:10:34Z","timestamp":1772457034000},"page":"1-46","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["<i>DietGlance<\/i>\n                    : Dietary Monitoring and Personalized Analysis at a Glance with Knowledge-Empowered AI Assistant"],"prefix":"10.1145","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4857-7143","authenticated-orcid":false,"given":"Zhihan","family":"Jiang","sequence":"first","affiliation":[{"name":"The University of Hong Kong, Hong Kong, China and Columbia University, New York, New York, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2496-3429","authenticated-orcid":false,"given":"Running","family":"Zhao","sequence":"additional","affiliation":[{"name":"The University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1632-6921","authenticated-orcid":false,"given":"Lin","family":"Lin","sequence":"additional","affiliation":[{"name":"The Guangdong Provincial Key Laboratory of Fully Actuated System Control Theory and Technology, Southern University of Science and Technology, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9302-0793","authenticated-orcid":false,"given":"Yue","family":"Yu","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4223-3502","authenticated-orcid":false,"given":"Handi","family":"Chen","sequence":"additional","affiliation":[{"name":"The University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3650-7332","authenticated-orcid":false,"given":"Xinchen","family":"Zhang","sequence":"additional","affiliation":[{"name":"The University of Hong Kong, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5930-3899","authenticated-orcid":false,"given":"Xuhai","family":"Xu","sequence":"additional","affiliation":[{"name":"Google, New York, New York, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6267-9440","authenticated-orcid":false,"given":"Yifang","family":"Wang","sequence":"additional","affiliation":[{"name":"Florida State University, Tallahassee, Florida, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9847-7784","authenticated-orcid":false,"given":"Xiaojuan","family":"Ma","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3454-8731","authenticated-orcid":false,"given":"Edith","family":"C. 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