Nathan Tenhundfeld

Dr. Nate Tenhundfeld is an associate professor of Human Factors and program chair for the Masters in Human Factors Engineering. Before joining Embry-Riddle, Nate was the AI lead, Lead Human Factors Engineer and a Tech Fellow at a defense contractor in Huntsville, Alabama. Nate's research focuses on human-machine teaming, with a particular emphasis on human-AI interactions. Nate completed his PhD in 2017 at Colorado State University and did a two-year Postdoc position at the US Air Force Academy.

During his academic career Nate has published over 50 articles/conference proceedings, received over $2.3 million in grants/contracts and has had his research featured in outlets like The New York Times and Psychology Today. 

Nate currently resides in Huntsville, Alabama, with his wife and two dogs. 

Tossell, C., Tenhundfeld, N.L., Momen, A, Cooley, K., & de Visser, E.J. (2024). 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. (2023). In the rough: Evaluation of convergence across trust assessment techniques using an autonomous golf cart. Journal of Cognitive Engineering and Decision Making.

de Visser, E.J., Phillips, E., Tenhundfeld, N.L., Donadio, B., Barentine, C., Kim, B., Madison, A., Ries, A., & Tossell, C.C. (2023). Trust in Automated Parking Systems: A Mixed Methods Evaluation. Transportation Research Part F: Traffic Psychology and Behavior. 96, 185-199

Atchley^¨, A., Barr^¨, H.M., O’Hear*, E., Weger, K., Mesmer, B., Gholston, S., & Tenhundfeld, N.L. (2023). Trust in Systems: Identification of 17 Unresolved Research Questions and the Highlighting of Inconsistencies. Theoretical Issues in Ergonomics Science.

Tenhundfeld, N.L., Demir, M., & de Visser, E.J. (2022). Assessment of Trust in Automation in the ‘Real World’: Requirements for New Trust in Automation Measurement Techniques for Use by Practitioners. Journal of Cognitive Engineering and Decision Making. 1-18.

Tenhundfeld, N.L., Barr*, H.M., O’Hear*, E.H., & Weger, K., (2022). Is My Siri the Same as Your Siri? An Exploration of Users’ Mental Model of Virtual Personal Assistants, Implications for Trust. IEEE Transactions on Human-Machine Systems, 52(3), 512-521.

Witt, J.K., Parnes^¨, J.E., & Tenhundfeld, N.L., (2020). Wielding a gun increases judgments of others as holding guns: a randomized controlled trial. Cognitive Research: Principles and Implications, 5(58), 1 – 17.

Tenhundfeld, N.L. & Witt, J.K. (2020). Human and Machine: Evaluating whether action automation influences visual perception. Attention, Perception, & Psychophysics, 82(6), 3234-3249.

Tenhundfeld, N.L., de Visser, E.J., Ries, A.J., Finomore, V.S., & Tossell, C.C. (2020). Trust and distrust of automated parking in a Tesla Model X. Human Factors, 62(2), 194 – 210.

Tenhundfeld, N.L., Parnes^¨, J., Conner, B.T., & Witt, J.K. (2020). Development of a psychometrically valid gun attitude scale. Current Psychology, 39(1), 279 - 286.

Tenhundfeld, N.L., de Visser, E.J., Haring, K.S., Ries, A.J., Finomore, V.S., & Tossell, C.C. (2019). Calibrating trust in automation through familiarity with the autoparking feature of a Tesla Model X. Journal of Cognitive Engineering and Decision Making, 13(4), 279 – 294.