Expertise

Organizational Behavior, Technology, HRI, Behavioral Economics, Behavior Analysis, Decision Making

Biography

Dr. Hantula holds undergraduate degrees in Religion and Psychology from Emory University and graduate degrees in Psychology from the University of Notre Dame. He developed a broad perspective on the behavioral sciences and psychology, having worked as a biomedical engineering technician, behavior program supervisor, occupational health researcher, and as a professor of human resource management, management information systems, NSF program director, and now of psychology and neuroscience. His research focuses on interactions between human and non-human agents in organizational contexts. He is currently working on 2 large collaborative projects with colleagues in Computer Science and Engineering: ASCENT (Accelerating Sustained Competitive Employment and Neurodiversity in Technology) and RoboSNAP (Robotic Social Navigation Among Pedestrians), as well as ongoing projects in behavioral economics and  decision making.

Discovering “rational” reasons for supposedly “irrational” behaviors and choices is a common theme throughout much of his research – he views humans as adapted beings, not flawed information processors. We are foragers, not rational actors. As his work is interdisciplinary and embraces multiple methodologies he has published widely in psychology journals ranging from biopsychology to organizational behavior, and also in many other fields including economics, computer science and medicine. His scholarly projects include computational modeling, meta analyses, laboratory studies, and field research in organizations and community settings. 

Selected Publications

  • Garrison, E., Singh, D.  Hong, S., Dragut, E., Tincani, M., Hantula, D., & Vucetic, S. (2023). Understanding Performance and Perspectives of Neurodivergent Workers in Image and Text Data Annotation. Computers in Human Behavior
  • Hayashi, Y., Tahmasbi, N., Romanowich, P., & Hantula, D. A. (2023). Social and Delay Discounting in a Behavioral Economic Analysis of Bystanders’ Helping Cyberbullying Victims: The Moderating Role of Gender. Computers in Human Behavior, 45, 107783
  • Tincani, M., Ji, H.Garrison, E., Upthegrove, M.Hong, S., Dragut, E., Hantula, D., & Vucetic, S. (2023). Vocational Interventions for Individuals with ASD: Umbrella Review. Journal of Autism & Developmental Disabilities
  • Hayashi, Y., Fisher, N. M., Hantula, D. A., Furman, L., & Washio, Y. (2022). A Behavioral Economic Analysis of Mothers’ Motivation to Exclusively Breastfeed in the Workplace. Journal of the Experimental Analysis of Behavior, 118, 132-147.
  • Dowdy, A., Hantula, D. A., Travers, J. & Tincani, M.  (2021). Meta-Analytic Methods to Detect Publication Bias in Behavior Science Research. Perspectives on Behavior Science. 45, 37-52. 
  • Gilroy, S. P., Kaplan, B. A., Reed, D. D., Hantula, D. A. & Hursh, S. R. (2019). An Exact Solution for Unit Elasticity in the Exponential Model of Operant Demand. Experimental and Clinical Psychopharmacology, 27, 588-597
  • Hantula, D. A. (2018). Consumer behavior analysis: An overview. In: B. Wine and J. Pritchard (eds.), Organizational Behavior Management: The Essentials (pp. 89-117). Orlando, FL: Hedgehog Publishers. 
  • Mobekk, H., Fagerstrøm, A. & Hantula, D. A. (2018). The Influence of Probability Discounting on Escalation in Information Technology Projects. International Journal of Information Technology Project Management, 9, 23-41.
  • Gilroy, S., Franck, C. & Hantula, D. A. (2017). The Bayesian Model Selector: Statistical software for delay discounting applications. Journal of the Experimental Analysis of Behavior, 107, 388-401. 
  • Hantula, D. A. & Gilroy, S. (2016). Inherently Irrational?: A Computational Model of Escalation of Commitment as Bayesian Updating. Behavioral Processes, 127, 43-51.
  • Hantula, D. A. & Crowell, C. R. (2016). Matching and Behavioral Contrast in a Two-Option Repeated Investment Simulation. Managerial and Decision Economics 37, 294-305.
  • Kim, W., & Hantula, D. A. (2016). Consumers as Inforagers. In G. Foxall (Ed.) Routledge Companion to Consumer Behaviour Analysis (pp. 306-327). London and New York: Routledge.

Courses Taught

Undergraduate

  • Industrial Organizational Psychology
  • Human Performance Improvement
  • Art, Aesthetics, & Behavior Science

Graduate

  • Human Performance Improvement
  • Topical Seminars in Behavioral Economics, Decision Making