This project leverages recent advancements in conversational artificial intelligence (AI), speech-to-text, natural language understanding (NLU)[1], and finite-state machines to automate protocols, specifically in research settings. This application must be generalized, fully customizable, and irrespective of any research study. These parameters allow new research protocols to be created quickly once envisioned. With this in mind, I present SmartState, a fully-customizable, state-driven protocol manager combined with supporting AI components to autonomously manage user data and intelligently determine the intention of users through chat and end device interactions to drive protocols.
Intermittent Fasting Protocol Management (implementation of SmartState): Based on SmartState, this project manages 2 studies with intermittent fasting in postmenopausal women, and 1 additional sleep and fasting study with a cohort of college students.
[1] T. Bocklisch, J. Faulkner, N. Pawlowski, and A. Nichol, Rasa: Open source language understanding and dialogue management, 2017. DOI: 10.48550/ARXIV.1712.05181. [Online]. Available: https://arxiv.org/abs/1712.05181.
Code: GitHub
arXiv Link: SmartState: A Protocol-Driven Human Interface, Submitted to AMIA 2023 Annual Symposium