Research & Publications
Research Overview
My research focuses on human behavior in digital environments, examining how individuals perceive, evaluate, and respond to information and technology. Grounded in behavioral Information Systems research, I investigate the individual, social, and contextual factors that influence information-related judgments, technology use, and digital behaviors.
My published research addresses information sharing and verification, privacy-related decisions, cybersecurity behaviors, and user experiences with digital technologies. Across these contexts, I am interested in understanding how perceptions, motivations, social influences, and technological characteristics shape people's decisions and actions.
An increasingly important direction of my research concerns information quality, trust, and human–AI interaction. Building on my earlier work on digital information evaluation and behavior, my current research examines how individuals assess AI-generated information and interact with AI-supported systems, particularly in healthcare and education.
My research draws on behavioral theory and quantitative empirical methods, with collaborative work also incorporating computational approaches to analyzing digital interactions.
Research Areas
Digital Behavior and Technology Use
How do individual characteristics, social influences, perceived benefits and risks, and technological features shape people's interactions with digital systems? My research in this area examines information sharing, location disclosure, protective cybersecurity practices, and engagement with digital technologies. These studies investigate how individuals navigate social motivations, privacy concerns, technological experiences, and other factors influencing their behavior.
Information Evaluation, Quality, and Trust
What influences how individuals evaluate digital information, and how do those evaluations shape subsequent decisions? This research examines information credibility, quality, trust, and verification behavior, particularly where information is widely shared and its reliability may be uncertain. My published work includes studies of news sharing and misinformation verification on social media, as well as collaborative research on information and support interactions in online health communities.
Human–AI Interaction and AI-Mediated Decisions
How do questions about information evaluation and digital behavior change when individuals interact with AI systems? My current research extends these interests to AI-generated information and AI-supported interactions, including information quality, trust, learning processes, and human judgment in healthcare and education. This is an evolving direction of my research, building on established work in behavioral Information Systems and digital information evaluation.
Selected Research Contributions
Information Sharing and Verification
This study investigates factors influencing information verification behavior on social media, including information quality, trust, awareness of misinformation, verification costs, and truth-seeking motivation. It contributes to understanding why individuals undertake the effort of verifying information in digital environments.
Drawing on the Elaboration Likelihood Model and Social Influence Theory, this study examines how news quality, source credibility, perceived civic engagement, and social influences relate to news-sharing behavior.
Privacy and Cybersecurity Behavior
Using the Knowledge–Attitude–Behavior framework and survey data from users across five countries, this study investigates relationships among cybersecurity training, incident experience, awareness, attitudes, and protective behavior. Its findings highlight the role of formal cybersecurity training, while incident experience alone did not show comparable effects.
This study examines how interpersonal competence, self-regulation, online affiliation needs, and privacy-related considerations influence location-sharing behavior, illuminating how people navigate social motivations and privacy risks.
Technology-Mediated Experiences and Information Support
This collaborative study uses multimodal machine learning to examine emotional and informational support in online health community interactions and how these forms of support coexist in question–response exchanges.
This study investigates how rendering technology and user needs relate to immersion and virtual consumption in metaverse environments, extending the study of digital behavior to immersive technology experiences.
Research Grants & Funding
My research has received $31,000 in internal funding through four College of Business Research Grants at the University of Wisconsin–Eau Claire (2024–2026).
Navigating AI Teaching Assistants: How Perceptions and Interactions Shape Student Engagement, Cognition, and Learning
College of Business Research Grant, University of Wisconsin–Eau Claire
Co-Principal Investigator · Summer 2026 · $8,000
Understanding Antecedents of AI Healthcare Assistant Adoption
College of Business Research Grant, University of Wisconsin–Eau Claire
Principal Investigator · Summer 2026 · $8,000
Mitigating the Propagation of Fake News: Understanding Factors Shaping Information Verification Behavior
College of Business Research Grant, University of Wisconsin–Eau Claire
Principal Investigator · Summer 2025 · $8,000
Cybersecurity Awareness and Adaptive Behavior: Does Prior Exposure Lead to Adaptive Behavior?
College of Business Research Grant, University of Wisconsin–Eau Claire
Principal Investigator · Summer 2024 · $7,000
Published Journal Articles
2026
2025
2024
2023
2020
For conference papers, other research outputs, and updated citation information, visit my Google Scholar profile or consult my academic CV.