Publications
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Peer-reviewed journal articles, conference papers, and book chapters. Wherever possible, author-version PDFs are freely available.
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A Mixed Methods Approach to Analyzing the Role of AI Teammates in Transition Phases
Beau G. Schelble, Rohit Mallick, Nathan J. McNeese
Proceedings of the ACM on Human-Computer Interaction, 10(1), 1-26 · 2026
Human or AI Advice? Examining Trust, Influence, and Responsibility in Ethically-Charged Human-AI Team Decision-Making
Beau G. Schelble, Christopher Flathmann, Heba Aly, Joseph B. Lyons, Nathan J. McNeese
Journal of Cognitive Engineering and Decision Making, 1-35 · 2026
Toward a Science of Human-AI Teaming for Decision-Making: A Complementarity Framework
Cleotilde Gonzalez, Kyle Donahue, Daniel Goldstein, Hoda Heidari, Mohammad Jalali, Beau G. Schelble, Aarti Singh, Anita W. Woolley
PNAS Nexus, 1-30 · 2026
Addressing AI Vulnerabilities Through Human-Centered Approaches and Risk Frameworks
Shubham Sawant, Anjali Bhanu, Beau G. Schelble, Kapil Chalil Madathil
Advances in Human-AI Collaboration, John Wiley and Sons (in press) · 2026
Modeling Human Behavior in Cybersecurity: Leveraging Structural Equation Modeling to Address Cognitive Biases and Enhance Defense Strategies
Nikolos Gurney, Peggy Wu, Kristin Molinaro, Fred Jones, Beau G. Schelble, Quanyan Zhu
Foundations of Cyber Deception, Springer Nature, pp. 155-180 · 2026
The Spread of Trust and Distrust in Human-AI Teams
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
Applied Ergonomics, 130, Article 104648 · 2025
Addressing the Role of Context on Trust in Human-AI Teams: The Influence of Team Role and Violation Type in High-Risk Tasks
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
Ergonomics, 1-21 · 2025
Should AI Teammates Give All the Answers? Examining the Role of Different AI Information-Sharing Techniques on Team Cognition in Human-AI Teams
Beau G. Schelble, Rohit Mallick, Allyson I. Hauptman, Nathan J. McNeese
International Journal of Human-Computer Interaction, 42(4), 2463-2488 · 2025
Ethical Adaptation: Exploring the Use of Adaptive Autonomy in the Design of Ethical AI Teammates in Healthcare
Allyson I. Hauptman, Beau G. Schelble, Christopher Flathmann, Rohit Mallick, Jeremy Macdonald, Nathan J. McNeese
AI and Ethics, 5(5), 5397-5414 · 2025
Examining the Role of AI Information-Sharing on Trust in Human-AI Teams
Beau G. Schelble, Gracyn Filer, Christopher Flathmann, Kapil Chalil Madathil
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
Leveraging Generative AI to Create Lightweight Simulations for Far-Future Autonomous Teammates
Christopher Flathmann, Christian Ihekweazu, Beau G. Schelble
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
An Analysis of Ethical Rationales and Their Impact on the Perceived Moral Persona of AI Teammates
Subhasree Sengupta, Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese, Joseph B. Lyons
AI and Ethics, 5, 2667-2679 · 2024
Modeling Perceived Information Needs in Human-AI Teams: Improving AI Teammate Utility and Driving Team Cognition
Beau G. Schelble, Christopher Flathmann, Jeremy Macdonald, Bart Knijnenburg, Camden Brady, Nathan J. McNeese
Behaviour & Information Technology, 44(9), 2069-2092 · 2024
What You Say vs What You Do: Utilizing Positive Emotional Expressions to Relay AI Teammate Intent within Human-AI Teams
Rohit Mallick, Christopher Flathmann, Wen Duan, Beau G. Schelble, Nathan J. McNeese
International Journal of Human-Computer Studies, 192, 103355 · 2024
Understanding the Influence of AI Autonomy on AI Explainability in Human-AI Teams Using a Mixed Methods Approach
Allyson I. Hauptman, Beau G. Schelble, Christopher Flathmann, Wen Duan, Nathan J. McNeese
Cognition, Technology and Work, 26, 435-455 · 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
Thomas A. O'Neill, Christopher Flathmann, Nathan J. McNeese, S. Jones, Beau G. Schelble
Academy of Management Discoveries, 10(1), 150-153 · 2024
I Know This Looks Bad, But I Can Explain: Understanding When AI Should Explain Actions In Human-AI Teams
Rui Zhang, Christopher Flathmann, Geoff Musick, Beau G. Schelble, Nathan J. McNeese, Bart Knijnenburg, Wen Duan
ACM Transactions on Interactive Intelligent Systems, 14(1), 1-23 · 2024
A Comparative Evaluation of Ad Hoc Team Performance, Effectiveness, and Interactions in Modern Collaborative Technology
Beau G. Schelble, Caitlin Lancaster, Rohit Mallick, Nathan J. McNeese, Guo Freeman, Richard Pak
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 68(1), 1254-1260 · 2024
Empirical Impacts of Independent and Collaborative Training on Task Performance and Improvement in Human-AI Teams
Christopher Flathmann, Beau G. Schelble, Alexandra Galeano
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 68(1), 1447-1453 · 2024
The Role of Autonomy Levels and Contextual Risk in Designing Safer AI Teammates
Allyson I. Hauptman, Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese
2024 IEEE International Conference on Human-Machine Systems, pp. 1-7 · 2024
The Purposeful Presentation of AI Teammates: Impacts on Human Acceptance and Perception
Christopher Flathmann, Beau G. Schelble, Nathan J. McNeese, Bart Knijnenburg, Anand Gramopadhye, Kapil Chalil Madathil
International Journal of Human-Computer Interaction, 40(20), 6510-6527 · 2023
The Complex Relationship of AI Ethics and Trust in Human-AI Teaming: Insights from Advanced Real-World Subject Matter Experts
Jeremy Lopez, Claire Textor, Caitlin Lancaster, Beau G. Schelble, Guo Freeman, Rui Zhang, Nathan J. McNeese, Richard Pak
AI and Ethics, 4(4), 1213-1233 · 2023
Examining the Impact of Varying Levels of AI Teammate Influence on Human-AI Teams
Christopher Flathmann, Beau G. Schelble, Patrick J. Rosopa, Nathan J. McNeese, Rohit Mallick, Kapil Chalil Madathil
International Journal of Human-Computer Studies, 177, 103061 · 2023
Understanding the Impact and Design of AI Teammate Etiquette
Christopher Flathmann, Nathan J. McNeese, Beau G. Schelble, Bart Knijnenburg, Guo Freeman
Human-Computer Interaction, 39(5-6), 444-471 · 2023
The Effect of Ethical and Unethical AI Actions on Outcomes of Trust and Performance in Human-AI Teams
Beau G. Schelble, Caitlin Lancaster, Wen Duan, Rohit Mallick, Nathan J. McNeese, Jeremy Lopez
Proceedings of the 56th Hawaii International Conference on System Sciences · 2023
Selective Sharing is Caring: Toward the Design of a Collaborative Tool to Facilitate Team Sharing
Geoff Musick, Beau G. Schelble, Rohit Mallick, Nathan J. McNeese
Proceedings of the 56th Hawaii International Conference on System Sciences, pp. 428-437 · 2023
Refocusing Human-AI Interaction Through a Teamwork Lens
Christopher Flathmann, Beau G. Schelble, Nathan J. McNeese
Handbook on Virtual Work, Edward Elgar Publishing, pp. 109-127 · 2023
I See You: Examining the Role of Spatial Information in Human-Agent Teams
Beau G. Schelble, Christopher Flathmann, Geoff Musick, Nathan J. McNeese, Guo Freeman
Proceedings of the ACM on Human-Computer Interaction, 6(CSCW2), 1-27 · 2022
Adapt and Overcome: Perceptions of Adaptive Autonomous Agents for Human-AI Teaming
Allyson I. Hauptman, Beau G. Schelble, Nathan J. McNeese, Kapil Chalil Madathil
Computers in Human Behavior, 138, 107451 · 2022
Towards Ethical AI: Empirically Investigating Dimensions of AI Ethics, Trust, and Performance in Human-AI Teaming
Beau G. Schelble, Jeremy Lopez, Claire Textor, Rui Zhang, Nathan J. McNeese, Richard Pak, Guo Freeman
Human Factors, 66(4), 1037-1055 · 2022
Exploring the Relationship Between Ethics and Trust in Human-AI Teaming: A Mixed Methods Approach
Claire Textor, Rui Zhang, Jeremy Lopez, Beau G. Schelble, Nathan J. McNeese, Guo Freeman, Richard Pak, Chad Tossell, Ewart J. de Visser
Journal of Cognitive Engineering and Decision Making, 16(4), 252-281 · 2022
Investigating the Effects of Perceived Teammate Artificiality on Human Performance and Cognition
Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese, Thomas A. O'Neill, Richard Pak, Moses Namara
International Journal of Human-Computer Interaction, 39(13), 2686-2701 · 2022
Let's Think Together! Assessing Shared Mental Models, Performance, and Trust in Human-Agent Teams
Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese, Guo Freeman, Rohit Mallick
Proceedings of the ACM on Human-Computer Interaction, 6(GROUP), 1-29 · 2022
Adaptive Autonomy as A Means for Implementing Shared Ethics in Human-AI Teams
Allyson I. Hauptman, Beau G. Schelble, Nathan J. McNeese
Proceedings of the AAAI Spring Symposium on AI Engineering, pp. 1-7 · 2022
Addressing the Spread of Trust and Distrust in Distributed Human-AI Teaming Constellations
Beau G. Schelble, Christopher Flathmann, Matthew Scalia, Shiwen Zhou, Christopher Myers, Nathan J. McNeese, Jamie Gorman, Guo Freeman
Workshop on Trust and Reliance in AI-Human Teams (TRAIT), ACM CHI Conference on Human Factors in Computing Systems (CHI '22) · 2022
Who/What is My Teammate? Team Composition Considerations in Human-AI Teaming
Nathan J. McNeese, Beau G. Schelble, Lorenzo Barberis Canonico, Mustafa Demir
IEEE Transactions on Human-Machine Systems, 51(4), 288-299 · 2021
What Happens When Humans Believe Their Teammate is an AI? An Investigation into Humans Teaming with Autonomy
Geoff Musick, Thomas A. O'Neill, Beau G. Schelble, Nathan J. McNeese, Jonn Henke
Computers in Human Behavior, 122, 106825 · 2021
Fostering Human-Agent Team Leadership by Leveraging Human Teaming Principles
Christopher Flathmann, Beau G. Schelble, Nathan J. McNeese
Proceedings of the 2nd IEEE International Conference on Human-Machine Systems, pp. 1-6 · 2021
Modeling and Guiding the Creation of Ethical Human-AI Teams
Christopher Flathmann, Beau G. Schelble, Rui Zhang, Nathan J. McNeese
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, pp. 469-479 · 2021
Understanding Human-AI Cooperation Through Game Theory and Reinforcement Learning Models
Beau G. Schelble, Christopher Flathmann, Lorenzo Barberis Canonico, Nathan J. McNeese
Proceedings of the 54th Hawaii International Conference on System Sciences, pp. 348-358 · 2021
Human-Autonomy Teaming: A Review and Analysis of the Empirical Literature
Thomas A. O'Neill, Nathan J. McNeese, Amy Barron, Beau G. Schelble
Human Factors, 64(5), 904-938 · 2020
Designing Human-Autonomy Teaming Experiments Through Reinforcement Learning
Beau G. Schelble, Lorenzo Barberis Canonico, Nathan J. McNeese, Jack Carroll, Casey Hird
Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 1426-1430 · 2020
Invoking Principles of Groupware to Develop and Evaluate Present and Future Human-Agent Teams
Christopher Flathmann, Beau G. Schelble, Brock Tubre, Nathan J. McNeese, Paige Rodeghero
Proceedings of the 8th International Conference on Human-Agent Interaction, pp. 15-24 · 2020
Towards Meaningfully Integrating Human-Autonomy Teaming in Applied Settings
Beau G. Schelble, Christopher Flathmann, Nathan J. McNeese
Proceedings of the 8th International Conference on Human-Agent Interaction, pp. 149-156 · 2020