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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 …

On Analyzing Geotagged Tweets for Location-Based Patterns

Geotagged social media is becoming highly popular as social media access is now made very easy through a wide range of mobile apps which automatically detect and augment social media posts with geo-locations. In this paper, we analyze two kinds of …

eScience and Living Analytics

Massive amount of digital traces left behind by life in the modern world have brought about the emergence of a computational social science. This presentation introduces research at Living Analytics Research Centre (LARC) where problems in consumer …