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Headshot of Dr. Beau G. Schelble, Assistant Professor of Industrial & Systems Engineering at the University of Tennessee, Knoxville

Curriculum Vitae

Beau G. Schelble, PhD

Assistant Professor of Industrial & Systems Engineering, Department of Industrial & Systems Engineering, Tickle College of Engineering, The University of Tennessee, Knoxville. Founding Director, AI & Robotics for Collaborative Systems (ARCS) Lab.

bschelbl@utk.edu515 John Tickle Building, 851 Neyland Dr, Knoxville, TN 37996Google Scholar ↗arcslab.io ↗
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44+

Publications

5

Best Paper Awards

$722K

Funding as PI

9

Researchers Mentored

Research Interests

Human-AI teaming and human-autonomy teaming; team cognition and shared mental models; trust and distrust in AI; responsible and ethical AI; explainable AI; situational awareness and intelligent information sharing; and the human factors of high-stakes human-AI collaboration in defense, healthcare, manufacturing, and emergency response.

human-AI teaminghuman-autonomy teaminghuman-AI collaborationteam cognitionshared mental modelstrust in AIhuman-robot interactionresponsible AIAI ethicsexplainable AIsituational awarenesshuman factorshuman-centered computingindustrial and systems engineering

Academic Appointments

  • Assistant Professor

    Department of Industrial & Systems Engineering, University of Tennessee, Knoxville

    2024 – Present

  • Founding Director, AI & Robotics for Collaborative Systems (ARCS) Lab

    Tickle College of Engineering, University of Tennessee, Knoxville

    2024 – Present

Education

  • Ph.D., Human-Centered Computing

    Clemson University

    Dissertation on team cognition and trust in human-AI teams. Most Outstanding Graduate Student, Clemson HCC PhD Program (2024).

    2023

  • B.S., Psychology

    Clemson University

    Summa Cum Laude.

    2018

Honors & Awards

  • ◆Featured Article, ACM Transactions on Interactive Intelligent Systems (2023 & 2024)
  • ◆Best Journal of Cognitive Engineering and Decision Making Article of 2022
  • ◆Best Paper Honorable Mention, ACM GROUP 2022
  • ◆Best Overall Paper Award, 8th International Conference on Human-Agent Interaction (2020)
  • ◆Best Paper Nominee, 54th Hawaii International Conference on System Sciences (2021)
  • ◆Most Outstanding Graduate Student, Clemson Human-Centered Computing PhD Program (2024)
  • ◆NSF/NRT THINKER Fellowship, $95,000 (2019–2021)

Grants & Sponsored Research

More than $722,000 in sponsored research as Principal Investigator.

  • Preventing, Identifying, and Mitigating the Impact of Compromised AI Teammates

    2024 – Present

    U.S. Army Research Office (ARO)

    Principal Investigator · Active

  • Understanding the Acceptance of AI Teammates in High-Risk Contexts

    2024 – 2025

    University of Tennessee · Faculty Research Assistants Funding

    Principal Investigator · Completed

  • Developing Personalized Adaptive AI Teammates

    2024 – 2025

    University of Tennessee · Departmental Research Assistantship Program

    Principal Investigator · Completed

  • NSF/NRT THINKER Fellowship

    2019 – 2021

    National Science Foundation (NRT THINKER), $95,000

    Fellow · Completed

Publications (44)

26 peer-reviewed journal articles, 14 conference papers, 1 workshop papers, and 3 book chapters. Full records and free author-version PDFs are on the publications page.

Journal Articles (26)

  1. Beau G. Schelble, Rohit Mallick, Nathan J. McNeese (2026). A Mixed Methods Approach to Analyzing the Role of AI Teammates in Transition Phases. Proceedings of the ACM on Human-Computer Interaction, 10(1), 1-26.
  2. Beau G. Schelble, Christopher Flathmann, Heba Aly, Joseph B. Lyons, Nathan J. McNeese (2026). Human or AI Advice? Examining Trust, Influence, and Responsibility in Ethically-Charged Human-AI Team Decision-Making. Journal of Cognitive Engineering and Decision Making, 1-35.
  3. Cleotilde Gonzalez, Kyle Donahue, Daniel Goldstein, Hoda Heidari, Mohammad Jalali, Beau G. Schelble, Aarti Singh, Anita W. Woolley (2026). Toward a Science of Human-AI Teaming for Decision-Making: A Complementarity Framework. PNAS Nexus, 1-30.
  4. Shiwen Zhou, Wen Duan, Xiaoyun Yin, Matthew J. Scalia, Ruihao Hao, Nan Weng, Gregory Funke, Michael Tolston, Guo Freeman, Beau G. Schelble, Jamie Gorman, Nathan J. McNeese (2025). The Spread of Trust and Distrust in Human-AI Teams. Applied Ergonomics, 130, Article 104648.
  5. Beau G. Schelble, Claire Textor, Rui Zhang, Jeremy Lopez, Noah Tavarez, Christine Ku, Nathan J. McNeese, Richard Pak, Guo Freeman, Chad Tossell, Ewart de Visser (2025). Addressing the Role of Context on Trust in Human-AI Teams: The Influence of Team Role and Violation Type in High-Risk Tasks. Ergonomics, 1-21.
  6. Beau G. Schelble, Rohit Mallick, Allyson I. Hauptman, Nathan J. McNeese (2025). Should AI Teammates Give All the Answers? Examining the Role of Different AI Information-Sharing Techniques on Team Cognition in Human-AI Teams. International Journal of Human-Computer Interaction, 42(4), 2463-2488.
  7. Allyson I. Hauptman, Beau G. Schelble, Christopher Flathmann, Rohit Mallick, Jeremy Macdonald, Nathan J. McNeese (2025). Ethical Adaptation: Exploring the Use of Adaptive Autonomy in the Design of Ethical AI Teammates in Healthcare. AI and Ethics, 5(5), 5397-5414.
  8. Subhasree Sengupta, Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese, Joseph B. Lyons (2024). An Analysis of Ethical Rationales and Their Impact on the Perceived Moral Persona of AI Teammates. AI and Ethics, 5, 2667-2679.
  9. Beau G. Schelble, Christopher Flathmann, Jeremy Macdonald, Bart Knijnenburg, Camden Brady, Nathan J. McNeese (2024). Modeling Perceived Information Needs in Human-AI Teams: Improving AI Teammate Utility and Driving Team Cognition. Behaviour & Information Technology, 44(9), 2069-2092.
  10. Rohit Mallick, Christopher Flathmann, Wen Duan, Beau G. Schelble, Nathan J. McNeese (2024). What You Say vs What You Do: Utilizing Positive Emotional Expressions to Relay AI Teammate Intent within Human-AI Teams. International Journal of Human-Computer Studies, 192, 103355.
  11. Allyson I. Hauptman, Beau G. Schelble, Christopher Flathmann, Wen Duan, Nathan J. McNeese (2024). Understanding the Influence of AI Autonomy on AI Explainability in Human-AI Teams Using a Mixed Methods Approach. Cognition, Technology and Work, 26, 435-455.
  12. Thomas A. O'Neill, Christopher Flathmann, Nathan J. McNeese, S. Jones, Beau G. Schelble (2024). A Comment on "Can You Outsmart the Robot? An Unexpected Path to Work Meaningfulness": Calling for a Different Path for the Future of Human-Robot Teaming. Academy of Management Discoveries, 10(1), 150-153.
  13. Rui Zhang, Christopher Flathmann, Geoff Musick, Beau G. Schelble, Nathan J. McNeese, Bart Knijnenburg, Wen Duan (2024). I Know This Looks Bad, But I Can Explain: Understanding When AI Should Explain Actions In Human-AI Teams. ACM Transactions on Interactive Intelligent Systems, 14(1), 1-23.🏆 Selected as Featured Article, ACM TiiS (2023 & 2024)
  14. Christopher Flathmann, Beau G. Schelble, Nathan J. McNeese, Bart Knijnenburg, Anand Gramopadhye, Kapil Chalil Madathil (2023). The Purposeful Presentation of AI Teammates: Impacts on Human Acceptance and Perception. International Journal of Human-Computer Interaction, 40(20), 6510-6527.
  15. Jeremy Lopez, Claire Textor, Caitlin Lancaster, Beau G. Schelble, Guo Freeman, Rui Zhang, Nathan J. McNeese, Richard Pak (2023). The Complex Relationship of AI Ethics and Trust in Human-AI Teaming: Insights from Advanced Real-World Subject Matter Experts. AI and Ethics, 4(4), 1213-1233.
  16. Christopher Flathmann, Beau G. Schelble, Patrick J. Rosopa, Nathan J. McNeese, Rohit Mallick, Kapil Chalil Madathil (2023). Examining the Impact of Varying Levels of AI Teammate Influence on Human-AI Teams. International Journal of Human-Computer Studies, 177, 103061.
  17. Christopher Flathmann, Nathan J. McNeese, Beau G. Schelble, Bart Knijnenburg, Guo Freeman (2023). Understanding the Impact and Design of AI Teammate Etiquette. Human-Computer Interaction, 39(5-6), 444-471.
  18. Beau G. Schelble, Christopher Flathmann, Geoff Musick, Nathan J. McNeese, Guo Freeman (2022). I See You: Examining the Role of Spatial Information in Human-Agent Teams. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 1-27.
  19. Allyson I. Hauptman, Beau G. Schelble, Nathan J. McNeese, Kapil Chalil Madathil (2022). Adapt and Overcome: Perceptions of Adaptive Autonomous Agents for Human-AI Teaming. Computers in Human Behavior, 138, 107451.
  20. Beau G. Schelble, Jeremy Lopez, Claire Textor, Rui Zhang, Nathan J. McNeese, Richard Pak, Guo Freeman (2022). Towards Ethical AI: Empirically Investigating Dimensions of AI Ethics, Trust, and Performance in Human-AI Teaming. Human Factors, 66(4), 1037-1055.
  21. Claire Textor, Rui Zhang, Jeremy Lopez, Beau G. Schelble, Nathan J. McNeese, Guo Freeman, Richard Pak, Chad Tossell, Ewart J. de Visser (2022). Exploring the Relationship Between Ethics and Trust in Human-AI Teaming: A Mixed Methods Approach. Journal of Cognitive Engineering and Decision Making, 16(4), 252-281.🏆 Best Journal of Cognitive Engineering and Decision Making Article of 2022
  22. Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese, Thomas A. O'Neill, Richard Pak, Moses Namara (2022). Investigating the Effects of Perceived Teammate Artificiality on Human Performance and Cognition. International Journal of Human-Computer Interaction, 39(13), 2686-2701.
  23. Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese, Guo Freeman, Rohit Mallick (2022). Let's Think Together! Assessing Shared Mental Models, Performance, and Trust in Human-Agent Teams. Proceedings of the ACM on Human-Computer Interaction, 6(GROUP), 1-29.🏆 Best Paper Honorable Mention, ACM GROUP
  24. Nathan J. McNeese, Beau G. Schelble, Lorenzo Barberis Canonico, Mustafa Demir (2021). Who/What is My Teammate? Team Composition Considerations in Human-AI Teaming. IEEE Transactions on Human-Machine Systems, 51(4), 288-299.
  25. Geoff Musick, Thomas A. O'Neill, Beau G. Schelble, Nathan J. McNeese, Jonn Henke (2021). What Happens When Humans Believe Their Teammate is an AI? An Investigation into Humans Teaming with Autonomy. Computers in Human Behavior, 122, 106825.
  26. Thomas A. O'Neill, Nathan J. McNeese, Amy Barron, Beau G. Schelble (2020). Human-Autonomy Teaming: A Review and Analysis of the Empirical Literature. Human Factors, 64(5), 904-938.

Conference Papers (14)

  1. Beau G. Schelble, Gracyn Filer, Christopher Flathmann, Kapil Chalil Madathil (2025). Examining the Role of AI Information-Sharing on Trust in Human-AI Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
  2. Christopher Flathmann, Christian Ihekweazu, Beau G. Schelble (2025). Leveraging Generative AI to Create Lightweight Simulations for Far-Future Autonomous Teammates. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
  3. Beau G. Schelble, Caitlin Lancaster, Rohit Mallick, Nathan J. McNeese, Guo Freeman, Richard Pak (2024). A Comparative Evaluation of Ad Hoc Team Performance, Effectiveness, and Interactions in Modern Collaborative Technology. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 68(1), 1254-1260.
  4. Christopher Flathmann, Beau G. Schelble, Alexandra Galeano (2024). Empirical Impacts of Independent and Collaborative Training on Task Performance and Improvement in Human-AI Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 68(1), 1447-1453.
  5. Allyson I. Hauptman, Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese (2024). The Role of Autonomy Levels and Contextual Risk in Designing Safer AI Teammates. 2024 IEEE International Conference on Human-Machine Systems, pp. 1-7.
  6. Beau G. Schelble, Caitlin Lancaster, Wen Duan, Rohit Mallick, Nathan J. McNeese, Jeremy Lopez (2023). The Effect of Ethical and Unethical AI Actions on Outcomes of Trust and Performance in Human-AI Teams. Proceedings of the 56th Hawaii International Conference on System Sciences.
  7. Geoff Musick, Beau G. Schelble, Rohit Mallick, Nathan J. McNeese (2023). Selective Sharing is Caring: Toward the Design of a Collaborative Tool to Facilitate Team Sharing. Proceedings of the 56th Hawaii International Conference on System Sciences, pp. 428-437.
  8. Allyson I. Hauptman, Beau G. Schelble, Nathan J. McNeese (2022). Adaptive Autonomy as A Means for Implementing Shared Ethics in Human-AI Teams. Proceedings of the AAAI Spring Symposium on AI Engineering, pp. 1-7.
  9. Christopher Flathmann, Beau G. Schelble, Nathan J. McNeese (2021). Fostering Human-Agent Team Leadership by Leveraging Human Teaming Principles. Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, pp. 1-6.
  10. Christopher Flathmann, Beau G. Schelble, Rui Zhang, Nathan J. McNeese (2021). Modeling and Guiding the Creation of Ethical Human-AI Teams. Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, pp. 469-479.
  11. Beau G. Schelble, Christopher Flathmann, Lorenzo Barberis Canonico, Nathan J. McNeese (2021). Understanding Human-AI Cooperation Through Game Theory and Reinforcement Learning Models. Proceedings of the 54th Hawaii International Conference on System Sciences, pp. 348-358.🏆 Nominated for Best Overall Paper Award
  12. Beau G. Schelble, Lorenzo Barberis Canonico, Nathan J. McNeese, Jack Carroll, Casey Hird (2020). Designing Human-Autonomy Teaming Experiments Through Reinforcement Learning. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 1426-1430.
  13. Christopher Flathmann, Beau G. Schelble, Brock Tubre, Nathan J. McNeese, Paige Rodeghero (2020). Invoking Principles of Groupware to Develop and Evaluate Present and Future Human-Agent Teams. Proceedings of the 8th International Conference on Human-Agent Interaction, pp. 15-24.🏆 Best Overall Paper Award, HAI 2020
  14. Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese (2020). Towards Meaningfully Integrating Human-Autonomy Teaming in Applied Settings. Proceedings of the 8th International Conference on Human-Agent Interaction, pp. 149-156.

Workshop Papers (1)

  1. Beau G. Schelble, Christopher Flathmann, Matthew Scalia, Shiwen Zhou, Christopher Myers, Nathan J. McNeese, Jamie Gorman, Guo Freeman (2022). Addressing the Spread of Trust and Distrust in Distributed Human-AI Teaming Constellations. Workshop on Trust and Reliance in AI-Human Teams (TRAIT), ACM CHI Conference on Human Factors in Computing Systems (CHI '22).

Book Chapters (3)

  1. Shubham Sawant, Anjali Bhanu, Beau G. Schelble, Kapil Chalil Madathil (2026). Addressing AI Vulnerabilities Through Human-Centered Approaches and Risk Frameworks. Advances in Human-AI Collaboration, John Wiley and Sons (in press).
  2. Nikolos Gurney, Peggy Wu, Kristin Molinaro, Fred Jones, Beau G. Schelble, Quanyan Zhu (2026). Modeling Human Behavior in Cybersecurity: Leveraging Structural Equation Modeling to Address Cognitive Biases and Enhance Defense Strategies. Foundations of Cyber Deception, Springer Nature, pp. 155-180.
  3. Christopher Flathmann, Beau G. Schelble, Nathan J. McNeese (2023). Refocusing Human-AI Interaction Through a Teamwork Lens. Handbook on Virtual Work, Edward Elgar Publishing, pp. 109-127.

Invited Talks & Briefings

  • Human-AI Teaming: The Importance of Human-AI Complementarity

    Psychology & Neuroscience Department Seminar, University of Tennessee, Knoxville

    2026

  • Performance Optimization in Human-AI Teams

    Board on Human-Systems Integration, National Academies of Sciences, Engineering, and Medicine

    2025

  • Mitigating the Risks of Compromised AI Teammates

    AI on the Battlefield Workshop, United States Military Academy at West Point

    2025

  • Human-Machine Teaming Deep Dive

    Technical Advisory Panel on the Use of AI Systems in Warfare, West Point

    2025

  • Ethics and Team Cognition in Human-AI Teams (invited talks)

    Carnegie Mellon AI Institute for Societal Decision Making · University of Texas at Austin

    2024

  • Human-AI Teaming: Ethics, Trust, & Shared Knowledge

    RTX (Raytheon Technologies), East Hartford, CT

    2023

Teaching

  • IE 304 · Introduction to Human Factors Engineering

    Fall 2024, Fall 2025

    University of Tennessee, Knoxville

    4.5 / 5 student instructor evaluation (Fall 2025)

  • IE 423 · Industrial Safety

    Spring 2025

    University of Tennessee, Knoxville

    4.23 / 5 student instructor evaluation

  • HCC 8500 / CPSC 4140 · Earlier Teaching · Clemson University

    2020 – 2023

    Clemson University

Mentoring & Service

Beyond the classroom, Dr. Schelble chairs 5 doctoral committees (2 PhD, 3 DEng), serves on 4 more across UTK and Georgia Tech, and supervises a team of undergraduate researchers in the ARCS Lab.

Peer reviewer and program-committee member across the ACM, IEEE, HFES, HICSS, and HCI communities. Research featured by the Tickle College of Engineering and EurekAlert!, and briefed to the National Academies and the United States Military Academy at West Point.

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