This project will pilot test a new app for self-monitoring food intake using natural spoken language (by voice recognition or text) to provide daily estimates of energy and nutrient intakes with a phone app.

Self-recording food intake is recommended for weight management and healthy eating. However, current methods, including web platforms and apps, are often burdensome leading to short-term use by the consumer. The solution uses cutting-edge speech and language understanding technology to streamline the food logging process. With this technology, the user simply describes what they ate and the system automatically selects the appropriate items and quantities consumed from the USDA food database, which calculates the nutrition profile of the entry.

Inclusion Criteria:

• Generally healthy men and women 18-65 years if age
• Currently participating in ongoing studies at the HNRCA
• Willing and able to sign written informed consent prior to study entry
• iPhone (iOS 11 or higher) user willing to download the COCO application and record food intake for 5 days

Exclusion Criteria:

• Android or iPhone (iOs 10 or lower) user unable to download and use the COCO application
• Holds a graduate degree in nutrition

Potential subjects will be recruited from the local community around Boston, Massachusetts. Recruitment methods include posting flyers, social and local media advertisements, word of mouth, and emails to HNRCA mailing lists.