MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application

Kong, Nadine Alvina and Moy, Foong Ming and Ong, Shu Hwa and Tahir, Ghalib Ahmed and Loo, Chu Kiong (2023) MyDietCam: Development and usability study of a food recognition integrated dietary monitoring smartphone application. Digital Health, 9. ISSN 2055-2076, DOI https://doi.org/10.1177/20552076221149320.

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Abstract

BackgroundDiet monitoring has been linked with improved eating habits and positive health outcomes such as prevention of obesity. However, this is often unsustainable as traditional methods place a high burden on both participants and researchers through pen and paper recordings and manual nutrient coding respectively. The digitisation of dietary monitoring has greatly reduced these barriers. This paper proposes a diet application with a novel food recognition feature with a usability study conducted in the real world. MethodsThis study describes the development of a mobile diet application (MyDietCam) targeted at healthy Malaysian adults. Focus group discussions (FGD) were carried out among dietitians and potential users to determine ideal features in a diet application. Thirty participants were recruited from a local university to log their meals through MyDietCam for six days and submit the Malay mHealth Application Usability Questionnaire (M-MAUQ) at the end of the study. ResultsThe findings from the FGD led to the implementation of the main features: individualised recommendations, food logging through food recognition to reduce steps for data entry and provide detailed nutrient analyses through visuals. An average overall usability score of 5.13 out of a maximum of seven was reported from the M-MAUQ which is considered acceptable. ConclusionThe development of a local (Malaysian) mobile diet application with acceptable usability may be helpful in sustaining the diet monitoring habit to improve health outcomes. Future work should focus on improving the issues raised before testing the effectiveness of the application for improving health outcomes.

Item Type: Article
Funders: Impact Oriented Interdisciplinary Research Grant (Grant No: IIRG 002A-19HWB)
Uncontrolled Keywords: Mobile health (mHealth); Usability; Healthy eating; Nutritional assessment; Diet quality; Self-monitoring; Camera; Weight; Obesity; Lifestyle
Subjects: H Social Sciences > HE Transportation and Communications
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Faculty of Medicine > Social & Preventive Medicine
Depositing User: Ms Zaharah Ramly
Date Deposited: 30 Nov 2023 03:28
Last Modified: 30 Nov 2023 03:28
URI: http://eprints.um.edu.my/id/eprint/39021

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