Publications in VIVO

Co-author Network

Dobolyi, David Gyula

Assistant Professor

Positions

Assistant Professor, Leeds School of Business

Research Areas

Research

research overview

David G. Dobolyi is an Assistant Professor in the division of Organizational Leadership and Information Analytics, Leeds School of Business, University of Colorado Boulder. He earned his PhD in Cognitive Psychology from the University of Virginia, and his research spans a range of topics including cybersecurity, text analytics, and face recognition. His work leverages a variety of statistical methods including predictive analytics, natural language processing, artificial intelligence, and behavioral experiments.

keywords

business analytics, machine learning, facial recognition, natural language processing, behavioral experiments, cognitive psychology

Publications

selected publications

conference proceeding
- Constructing a Psychometric Testbed for Fair Natural Language Processing. 3748-3758. 2021
- An Ordinal Approach to Modeling and Visualizing Phishing Susceptibility. 236-241. 2020
- PhishMonger: A Free and Open Source Public Archive of Real-World Phishing Websites. 31-36. 2016
- Trajectories of Cortical Loss with Age and Disease Duration in Parkinson's Disease. Annals of Neurology. S61-S61. 2015
journal article
- Language Models for Online Depression Detection: A Review and Benchmark Analysis on Remote Interviews. ACM Transactions on Management Information Systems. 1-35. 2025
- A Comparison Between Numeric Confidence Ratings and Verbal Confidence Statements. Journal of Experimental Psychology: Applied. 2025
- Financial Education Effects on Financial Behavior and Well-Being: The Mediating Roles of Improved Objective and Subjective Financial Knowledge and Parallels in Physical Health. Journal of Public Policy and Marketing. 2024
- Does Artificial Intelligence (AI) Assistance Mitigate Biased Evaluations of Eyewitness Identifications?. Journal of Applied Research in Memory and Cognition. 2024
- Examining User Heterogeneity in Digital Experiments. ACM Transactions on Information Systems. 2023

Teaching

courses taught

MSBX 5405 - Structured Data Modeling and Analysis
Primary Instructor - Fall 2022 / Fall 2023 / Fall 2024
Explores both the functional and technical environment for the creation, storage and use of the most prevalent source and type of data for business analysis, ERP and related structured data. Students will learn how to access and leverage information via SQL for analysis, aggregation to visualization, create dashboards, and be source for business intelligence.

Background

education and training

Ph.D., University of Virginia 2015
M.A., University of Virginia 2012
B.A., University of Maryland College Park Campus 2007

awards and honors

Master of Business Analytics Faculty Award, conferred by Leeds School of Business, 2023

Other Profiles

Google Scholar

https://scholar.google.com/citations?hl=en&user=9TE9QF0AAAAJ

ResearchGate

https://www.researchgate.net/profile/David-Dobolyi

Github

https://github.com/davedgd