Principal Investigator
Nate Tenhundfeld
Nate leads FACTOR Lab’s research on human-machine interaction, with a focus on trust, decision-making, and human–AI teaming.
Human-machine interaction · Huntsville, AL
FACTOR Lab brings Human Factors research to the design of AI, robotics, and other intelligent systems.
01 The research question
We study how people understand, trust, and guide intelligent systems when decisions matter.
See our approach ↘We start with people: the context they work in, the constraints they carry, and the signals they need to make good decisions with a machine partner.
+02 Applied research
We study trust, transparency, and human judgment in the technologies and decisions people encounter every day.
Grounded in
real contexts.
03 Selected publications
Peer-reviewed work that grounds how we think about trust, AI, and human decision-making.
Ahmadi, A., Baudry, J., Tenhundfeld, N.L., Goff, K., & Adamek, D. Using AI to Enhance Healthcare Resource Management and Allocation: A Focus on the Autism Community in Alabama. PLoS One, 21(3).
MacKenzie, W.I., Weber, R., Barr, H.M., Lanius, C., & Tenhundfeld, N.L. Deepfake Label Recall: Combatting Disinformation with Labels is Especially Effective for Those Who Dislike the Speaker. International Journal of Human-Computer Interaction.
Tossell, C., Tenhundfeld, N.L., Momen, A., Cooley, K., & de Visser, E.J. An Empirical Analysis of Student Perceptions of ChatGPT Use in a College Essay Assignment: Implications for Learning, Assessment, and Trust. IEEE Transactions on Learning Technologies.
Tenhundfeld, N.L., Forsyth, J., Sprague, N.R., El-Tawab, S., Vangsness, L., & Cotter, J.E. In the rough: Evaluation of convergence across trust assessment techniques using an autonomous golf cart. Journal of Cognitive Engineering and Decision Making.
Atchley, A., Barr, H.M., O’Hear, E., Weger, K., Mesmer, B., Gholston, S., & Tenhundfeld, N.L. Trust in Systems: Identification of 17 Unresolved Research Questions and the Highlighting of Inconsistencies. Theoretical Issues in Ergonomics Science.
04 The lab
FACTOR Lab brings Human Factors, cognitive science, and interaction design to AI and robotics—keeping people central to complex systems.
Meet the lab ↘05 People
Meet the researchers shaping the work—and the questions that move it forward.
Principal Investigator
Nate leads FACTOR Lab’s research on human-machine interaction, with a focus on trust, decision-making, and human–AI teaming.
Open invitations
06Students, collaborators, and journalists are welcome to start a conversation.