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Foodbot: A Goal-Oriented Just-in-Time Healthy Eating Interventions Chatbot

Recent research has identified a few design flaws in popular mobile health (mHealth) applications for promoting healthy eating lifestyle, such as mobile food journals. These include tediousness of manual food logging, inadequate food database …

RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System

Interests in the automatic generation of cooking recipes have been growing steadily over the past few years thanks to a large amount of online cooking recipes. We present RecipeGPT, a novel online recipe generation and evaluation system. The system …

Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions

Human beings are creatures of habit. In their daily life, people tend to repeatedly consume similar types of food items over several days and occasionally switch to consuming different types of items when the consumptions become overly monotonous. …

Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning

Consumption of diets with low glycemic impact is highly recommended for diabetics and pre-diabetics as it helps maintain their blood glucose levels. However, laboratory analysis of dietary glycemic potency is time-consuming and expensive. In this …

FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging

An important aspect of health monitoring is effective logging of food consumption. This can help management of diet-related diseases like obesity, diabetes, and even cardiovascular diseases. Moreover, food logging can help fitness enthusiasts, and …

Does Journaling Encourage Healthier Choices? Analyzing Healthy Eating Behaviors of Food Journalers

Past research has shown the benefits of food journaling in promoting mindful eating and healthier food choices. However, the links between journaling and healthy eating have not been thoroughly examined. Beyond caloric restriction, do journalers …

Eat & Tell: A Randomized Trial of Random-Loss Incentive to Increase Dietary Self-Tracking Compliance

A growing body of evidence has shown that incorporating behavioral economics principles into the design of financial incentive programs helps improve their cost-effectiveness, promote individuals' short-term engagement, and increase compliance in …

Using Online Controlled Experiments to Examine Authority Effects on User Behavior in Email Campaigns

Authority users often play important roles in a social sys- Tem. They are expected to write good reviews at product review sites; provide high quality answers in question answering systems; and share interesting content in social net- works. In the …

Extracting Food Substitutes From Food Diary via Distributional Similarity

In this paper, we explore the problem of identifying substitute relationship between food pairs from real-world food consumption data as the first step towards the healthier food recommendation. Our method is inspired by the distributional hypothesis …

Insights from Machine-Learned Diet Success Prediction

To support people trying to lose weight and stay healthy, more and more fitness apps have sprung up including the ability to track both calories intake and expenditure. Users of such apps are part of a wider “quantified self“ movement and many opt-in …