Warren Rosengren is a Kelley doctoral student in Information Systems (IS) at Indiana University whose work explores how artificial intelligence reshapes human behavior and organizational practice. His research trajectory began in 2018, when an undergraduate research-assistantship revealed that he preferred scholarly inquiry and teaching over a traditional corporate path. An industry internship confirmed that insight and set him on the PhD track.
Encouraged by undergraduate mentor James Gaskin, Warren chose Indiana University for its renowned behavioral-experiment tradition and strong faculty alignment with his interests, particularly the work of Alan Dennis on AI and digitally mediated interaction. Genuine, supportive faculty conversations during his campus visits further cemented his decision.
Research Streams
- Digital humans in recruiting.
A laboratory experiment comparing asynchronous video interviews (AVIs) with digital-human interviewers shows that candidates experience higher satisfaction, lower stress, and greater opportunity to ask clarifying questions with digital humans, reducing information asymmetry and enhancing procedural fairness. - AI companions and employee recovery.
Across an online experiment and a two-week field study, a five-minute chatbot conversation delivered measurable emotional and cognitive support, which improved psychological detachment, boosted next-day work engagement, and lowered burnout effects that were strongest for participants who reported higher loneliness. - Generative-AI-enabled teamwork.
Controlled trials demonstrate that individuals assisted by generative AI outperform groups working without AI, raising critical questions about the future division of labor and collaboration norms.
Dissertation Focus
Warren’s dissertation extends the Knobe Effect to AI decision makers. Early findings reveal a reversal of the classic pattern: harmful AI actions are judged less intentional than helpful ones, and organizational blame eclipses individual blame, suggesting that moral attribution shifts fundamentally when the agent is artificial rather than human.
Methodological Contributions
Recently, Warren co-authored a methodology article on covariance-based structural equation modeling (SEM) in the Information Systems Journal. By distilling decades of guidance from dozens of books and articles into a concise, plainly written checklist, the piece serves as a practical primer for scholars new to SEM and showcases Warren’s commitment to methodological rigor.
Collaborative Approach and Professional Development
Throughout his doctoral program, Warren has intentionally engaged with multiple faculty and fellow doctoral students, cultivating an interdisciplinary network that spans outside of his department and school. These collaborations have sharpened his theoretical lens, diversified his methods, and reinforced the value of cross-disciplinary dialogue in IS research.
Looking Ahead
As he prepares for the 2026 academic job market, Warren reflects on the rich mentorship and research freedom IU has provided. His portfolio, spanning digital-human recruiting, AI-mediated well-being, team productivity, and moral cognition, positions him to contribute fresh insights into how AI technologies intersect with organizational life. Just as important, his demonstrated methodological expertise and collaborative mindset make him a versatile, impact-oriented scholar poised to advance the Information Systems field.