A Mobile Food Recommendation System Based on The Traffic Light Diet
Thienne Johnson, Jorge Vergara, Chelsea Doll, Madison Kramer, Gayathri, Sundararaman, Harsha Rajendran, Alon Efrat, Melanie Hingle

TL;DR
This paper presents a mobile food recommendation system that provides real-time energy density information and healthier eating tips for fast food restaurant choices, aiming to promote diet and health behavior change.
Contribution
It introduces a novel mobile system that offers personalized, real-time nutritional guidance specifically for fast food dining, integrating health tips into user-friendly mobile technology.
Findings
System successfully provides energy density info and health tips.
Potential to influence healthier food choices in fast food settings.
Supports behavior change through mobile health interventions.
Abstract
Innovative, real-time solutions are needed to address the mismatch between the demand for and supply of critical information to inform and motivate diet and health-related behavior change. Research suggests that interventions using mobile health technologies hold great promise for influencing knowledge, attitudes, and behaviors related to energy balance. The objective of this paper is to present insights related to the development and testing of a mobile food recommendation system targeting fast food restaurants. The system is designed to provide consumers with information about energy density of food options combined with tips for healthier choices when dining out, accessible through a mobile phone.
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Taxonomy
TopicsGreen IT and Sustainability · ICT in Developing Communities · Innovative Human-Technology Interaction
