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Ira A. Fulton College of Engineering
Electrical and Computer Engineering
Give to ECE
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Ben Schooley

Associate Professor
Curriculum Vitae
Faculty
Email: ben_schooley@byu.edu

Office: 460F EB

Phone: 422-0027

Dr. Benjamin Schooley is an Associate Professor in the Department of Electrical and Computer Engineering at Brigham Young University. He holds a BA in English from Brigham Young University, an MBA, and a PhD in Information Systems and Technology from Claremont Graduate University. His expertise lies in the design and evaluation of digital health applications, leveraging biomedical informatics and design science. Dr. Schooley has over 15 years of experience in both industry and academia and has been instrumental in developing software systems for a range of health contexts. His work has been funded by prestigious organizations including the NSF, NIH, and the U.S. Social Security Administration, and his research has been published in top-tier outlets such as IEEE, ACM, and JAMIA. Prior to his appointment at BYU, Dr. Schooley was Assistant and then Associate Professor of Informatics, College of Engineering and Computing, University of South Carolina.

Research Interests

  • Digital health application design
  • Biomedical informatics
  • Health information systems
  • Patient-centered eHealth
  • Health data analytics

Selected Publications (Refereed)

  • Schooley, B., Hansen, D., Richmond, EJ., Canite, MJ., Huaira Reyna, NM. (2024). Visualizing Cybersecurity Diagrams: An Empirical Analysis of Common Weakness Enumeration Images. Presented at the 26th International Conference on Human-Computer Interaction (HCI International), Washington DC, June 29 – July 4, 2024. 
  • Singh, A., Schooley, B., Floyd, S., Brooks, B. (2024). Clinician Factors for Human Centered Design of An Interactive Health Recommender System for Improving Clinical Shared Decision Making. In Proceedings of the 15th International Conference on Applied Human Factors and Ergonomics in Healthcare and Medical Devices (AHFE) Conference, Nice, France, July 24-27, 2024.      
  • Singh A., Schooley B., Patel N. (2023). Effects of User-Reported Risk Factors and Follow-Up Care Activities on Satisfaction With a COVID-19 Chatbot: Cross-Sectional Study. JMIR Mhealth Uhealth. 11:e43105, https://doi.org/10.2196/43105. 
  • Schooley, B., Ahmed, A., Maxwell, J., Feldman, S. (2023). Predictors of COVID-19 From a Statewide Digital Symptom and Risk Assessment Tool: Cross-Sectional Study. Journal of Medical Internet Research. 25:e46026 https://doi.org/10.2196/46026. 
  • Singh, A., Schooley, B., Floyd, S.B., Pill, S.G., Brooks, J.M. (2023). Patient preferences as human factors for health data recommender systems and shared decision making in orthopaedic practice. Frontiers in Digital Health, v.5, ISSN:2673-253X, https://doi.org/10.3389/fdgth.2023.1137066. 
  • Schooley, B., & Feldman, S. (2023). Design Features and User Perspectives of Patient Confidentiality and Consent for Substance Use Disorder. In proceedings of the 56th annual Hawaii International Conference on System Sciences, Maui, HI, January 3-7, 2023. https://hdl.handle.net/10125/103037.  
  • Schooley, B., Feldman, S. (2022). User Perceptions about Sharing Exposure Notification Information for Communicable Diseases. Frontiers in Digital Health, v.4, PMID: 35966143, https://doi.org/10.3389/fdgth.2022.926683. 
  • Feldman, S., Schooley, B., Tipper, B. (2022). Design Knowledge for Collaborative Health Information Systems for Substance Use Disorder. Communications of the Association for Information Systems, 51(1), https://doi.org/10.17705/1CAIS.05117.