Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps

Smartphone apps for tracking food consumption and recommendations: Evaluating artificial intelligence-based functionalities, features and quality of current apps

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 ad...

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Bibliographic Details
Main Authors: Sabiha Samad, Fahmida Ahmed, Samsun Naher, Muhammad Ashad Kabir, Anik Das, Sumaiya Amin, Sheikh Mohammed Shariful Islam
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Intelligent Systems with Applications
Subjects:
Smartphone apps
Food nutrition
Food consumption
Food recommendations
Apps evaluation
Design guidelines
Online Access:http://www.sciencedirect.com/science/article/pii/S2667305322000412

Internet

http://www.sciencedirect.com/science/article/pii/S2667305322000412

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