State-Based Automation for Time-Restricted Eating Adherence
<|reference_start|>State-Based Automation for Time-Restricted Eating Adherence: Developing and enforcing study protocols is a foundational component of medical research. As study complexity for participant interactions increases, translating study protocols to supporting application code becomes challenging. A collaboration exists between the University of Kentucky and Arizona State University to determine the efficacy of time-restricted eating in improving metabolic risk among postmenopausal women. This study utilizes a graph-based approach to monitor and support adherence to a designated schedule, enabling the validation and step-wise audit of participants' statuses to derive dependable conclusions. A texting service, driven by a participant graph, automatically manages interactions and collects data. Participant data is then accessible to the research study team via a website, which enables viewing, management, and exportation. This paper presents a system for automatically managing participants in a time-restricted eating study that eliminates time-consuming interactions with participants.<|reference_end|>
@article{armstrong2024state-based,
    title={State-Based Automation for Time-Restricted Eating Adherence},
    author={Samuel E. Armstrong, Aaron D. Mullen, J. Matthew Thomas, Dorothy D.
  Sears, Julie S. Pendergast, Jeffrey Talbert, Cody Bumgardner},
    journal={arXiv preprint arXiv:2406.18718},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.18718},
    primaryClass={cs.HC cs.SY eess.SY}
}