Lab Overview

The Cognitive Sciences Lab (CSL) pursues interdisciplinary research on individuals and teams to understand cognition broadly construed. At the broader level, CSL has pursued a form of scientific stewardship in the development of the field of team cognition, a melding of cognition with research on how humans interact socially and with technology. This includes the development of a number of edited volumes that have brought together researchers from different disciplines to present their perspectives on team cognition, on complex collaborative problem solving, and on interdisciplinary approaches for studying shared cognition. We have also pursued the development of journal special issues in order to reach targeted audiences who may not be familiar with certain disciplinary perspectives on collaborative cognition. Collectively, these efforts contributed to the overall field of team cognition by bringing together experts in varied fields to present their work in a unified volume or issue to new audiences. At a more narrow range, this includes thinking on teamwork by considering issues surrounding the design and development of human-agent teams, that is, teams composed of humans interacting with autonomous or semi-autonomous intelligent agents or robots. Research in CSL has also studied the development of expertise and pursued interdisciplinary thinking on cognitive processes at the highest levels of proficiency. Research on learning and training by CSL pursues a two-pronged effort involving simulation-based training. We have examined knowledge acquisition and integration in complex domains where the learner has to understand the connection between disparate concepts to comprehend and perform their task and we have examined how multimedia manipulations of learning content (e.g., diagrams and animations), and how interventions designed to scaffold cognitive processes (i.e., metacognitive prompting), can alter knowledge integration.


Research Highlights

Human-AI Teaming

Garibay, O. et al. (2023). Six human-centered artificial intelligence grand challenges. International Journal of Human–Computer Interaction, 39(3), 391–437. doi:10.1080/10447318.2022.2153320

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Newton, O. B., Saadat, S., Song, J., Fiore, S. M., & Sukthankar, G. (2022). EveryBOTy counts: Examining human-machine teams in open source software development. Topics in Cognitive Science. doi:10.1111/tops.12613

Williams, J., Fiore, S. M., Jentsch, F. (2022). Supporting artificial social intelligence with theory of mind. Frontiers in Artificial Intelligence, 5, 750763. doi:10.3389/frai.2022.750763

VR and Learning

McGowin, G., Fiore, S. M., Oden, K. (2023). Towards a theory of learning in immersive virtual reality: Designing learning affordances with embodied, enactive, embedded, and extended cognition. In T. Cherner & A. Fegely (Eds.), In Bridging the XR Technology-to-Practice Gap: Methods and Strategies for Blending Extended Realities into Classroom Instruction. AACE.


McGowin, G., Fiore, S. M., & Oden, K. (2021). Learning affordances: theoretical considerations for design of immersive virtual reality in training and education. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 65, No. 1, pp. 883-887). Sage CA: Los Angeles, CA: SAGE Publications. doi:10.1177/1071181321651293

Xi, Z., McGowin, G., Newton, O., Sukthankar, G., Fiore, S.M., & Oden, K. (2020). Predicting student flight performance with multimodal features. In R. Thomson, H. Bisgin, C. Dancy, A. Hyder, and M. Hussain (Eds.), Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2020. Lecture Notes in Computer Science (pp. 277-288). Cham: Springer International Publishing. doi:10.1007/978-3-030-61255-9_27

Project Spotlight

Understanding Individual and Team Cognition in Support of Future Space Missions (Minerva Research Initiative, DoD)

This project studies the inter-relation of individual and team cognition in complex environments such as those relevant to space, to better understand team process and performance by identifying how individual decrements in cognition cascade to the team level to impact the team performance, and potential interventions for such effects.


Pinter-Wollman, N., Penn, A., Theraulaz, G., & Fiore, S. M. (2018). Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour. Special Issue in Philosophical Transactions of the Royal Society B: Biological Sciences, 373(1753), 20170232. doi:10.1098/rstb.2017.0232

Fiore, S. M., Graesser, A., & Greiff, S. (2018). Collaborative problem-solving education for the twenty-first-century workforce. Nature Human Behaviour, 2(6), 367–369. doi:10.1038/s41562-018-0363-y




Awards and Recognition

UCF Awards  

  • Research Incentive Award, Recognition for faculty who have excelled at research, Office of the Provost, University of Central Florida, 2022 
  • Scroll & Quill Society, University of Central Florida, University of Central Florida, Recognition for faculty who have made an international impact through their scholarship, 2020. 
  • Luminary Award, University of Central Florida, Recognition for having significant impact on the world, 2019. 

Academic Adviser to Graduate Students Awards  

  • Research Adviser, Best Student Led Paper Award, (2023). Modeling & Simulation Track, Applied Human Factors and Ergonomics Conference, AHFE 2023. 
  • Academic Adviser, University Award for Outstanding Dissertation in the Social Science, Humanities, Education, Business, Art, and Health category. University of Central Florida, 2023. Awarded to Olivia Newton. 
  • Academic Adviser, College of Graduate Studies Award for Outstanding Dissertation. University of Central Florida, 2023. Awarded to Olivia Newton. 
  • Academic Adviser, 1st Place, Best Student Led Paper Award, Training Technical Group, 63rd Annual Meeting of the Human Factors and Ergonomics Society, 2019.
  • Academic Adviser, 2nd Place, Best Student Led Paper Award, Cognitive Engineering and Decision Making Technical Group, 62nd Annual Meeting of the Human Factors and Ergonomics Society, 2018.