Web-Based Platform for Dietary Self-Tracking, Self-Reporting, and Behavioral Intervention

Technology Overview

Our web-based experimentation platform is designed to facilitate continuous collection of individuals' dietary self-tracking and self-reporting data through integration with an existing dietary self-monitoring technology ecosystem. Moreover, the platform also provides a built-in module to facilitate randomized controlled experiments to evaluate the efficacy of behavioral interventions. Through the platform, experimentation team can utilize existing features to readily set up a research study and collect participants' self-tracking and self-reporting data without any coding required.

Technology Features & Specifications

  • Platform agnostic: Participants are not required to install additional app as the platform is built as a mobile web application which is accessible from any major web browser (e.g., Chrome, Safari, Firefox, etc.).
  • Integration with popular food logging apps: Study participants can choose to record their dietary intake through existing mobile food logging apps (also known as mobile food diaries), such as MyFitnessPal, Fitbit, and Healthy 365. Their food diary data can then be automatically synchronized to the platform.
  • Context-sensitive self-report survey generation: To better understand eating behavior, the platform utilizes two types of self-report surveys: One-time surveys and daily surveys, to capture information beyond self-tracking data. One-time surveys aim to collect participants' demographic, health, and personality trait information. Daily surveys are automatically generated based on self-tracked meal information from participants' food diary and are designed to capture information about their food choices.
  • Behavior intervention: The platform allows experimenters to easily set up randomized controlled trials through a built-in randomized assignment. It currently supports a financial incentive-based behavior interventions.

Potential Applications

Our platform is specifically designed to help experimenters conduct a randomized controlled trial of dietary behavior monitoring and intervention.

Market Trends and Opportunities

Potential markets of the platform include research in nutritional science, public health, and related areas.

Customer Benefits

By providing data collection infrastructure, research study management, and integration with existing technology ecosystems, researchers looking to conduct such a longitudinal behavioral study can focus their resources and efforts in designing the study, and simply make use of the features provided by the platform to conduct the study. In addition, study participants who may already familiar with existing food logging tools can continue to use their favorite apps while participating in the study, eliminating the need to switch to a different app, thus providing a positive user experience.

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