A Framework for Food Preference Studies.

• Food preference can be assessed with 2-image choice questions, or by single-image linear hedonic magnitude scale rating.
• Incorporate any collection of images by including indexed jpeg/png files in the project.
• Design surveys using structured YAML-based description of instructions and questions.
• Additional surveys (e.g. EAT-26, PANAS, etc.) can be incorporated from YAML-based descriptions.
• Access to HealthKit information such as daily Steps (if permission is granted by user).
• For EMA studies, subjects can be prompted to take specific surveys by tapping on links sent via email or text messages.
• Streamlined recruitment with pages for study overview, eligibility, consent, and withdrawal.
• Based on Apple's open source ResearchKit framework.
• Backed by Google Firebase encrypted data storage, which supports HIPAA compliance.
• Scalable SMS messaging via Twilio.
• CAS Log-In Authentication using Cassowary.