Topic Area Workshop
Friday, April 17 | 10:30 AM – Noon ET
New in 2025-2026: Hands-on, skills-focused sessions that go beyond lectures
and panels, but shorter and more targeted than our Short Courses.
Data Technology Topic Area:
Using LLMs to Generate Materials, Individualize Participant Experiences, and Role-Play in Studies
This workshop will focus on five ways to use large language models (LLMs) in research. It will cover using LLMs as a research assistant, an adaptive content creator, an external resource, a conversation partner, and as a research confederate. Open source software will be introduce, while emphasizing ethics and appropriate research design.
Dr. Richard Landers
Biography
Richard N. Landers, Ph.D., is the John P. Campbell Distinguished Professor of Industrial-Organizational Psychology at the University of Minnesota and Principal Investigator of TNTLAB (Testing New Technologies in Learning, Assessment and Behavior). His academic research concerns the use of innovative technologies like artificial intelligence, games, and gamification to improve psychometric assessment, employee selection, adult learning, and research methods. He is a Fellow of the Society for Industrial and Organizational Psychology (SIOP), American Psychological Association, and Association for Psychological Science, as well as President-Elect (2025-2026) of SIOP. His work appears primarily in psychology and interdisciplinary human-computer interaction journals, and he is the incoming editor of Technology, Mind, and Behavior (2025 IF 3.2), an interdisciplinary gold open access journal published by the American Psychological Association at the intersection of psychology and computer science. He is author of two textbooks, has developed two edited scholarly volumes, and has been featured in the popular press, including Forbes, Business Insider, and Popular Science. Finally, he regularly consults as president of Landers Workforce Science LLC (https://landers.tech), primarily by auditing or advising on employee hiring systems incorporating artificial intelligence and machine learning.
