Journal ArticleOpen Access
Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps
Authors
Author Affiliations
Chittagong University of Engineering & Technology, Charles Sturt University, St. Francis Xavier University, Deakin University
Published InIntelligent Systems with Applications
Year2022
Citations56
Abstract
The advancement of artificial intelligence (AI) and the significant growth in the use of food consumption tracking and recommendation-related apps in the app stores have created a need for an evaluation system, as minimal information is available about the evidence-based quality and technological advancement of these apps. Electronic searches were conducted across three major app stores and the selected apps were evaluated by three independent raters. A total of 473 apps were found and 80 of them were selected for review based on inclusion and exclusion criteria. An app rating tool is devised to evaluate the selected apps. Our rating tool assesses the apps essential features, AI based advanced functionalities and software quality characteristics required for food consumption tracking and…
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