BIG CAT RG

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Basappa, R., Flathmann, C., Wang, Y., Duan, W., & McNeese, N. (in press). The Role of Role: How AI Teammates Function and Operational Context Shape Human Perceptions. International Journal of Human-Computer Interaction.

Schelble, B. G., Flathmann, C., Aly, H., Lyons, J., & McNeese, N. (in press). Human or AI Advice? Examining Trust, Influence, and Responsibility in Ethically-Charged Human-AI Team Decision-Making. Journal of Cognitive Engineering and Decision Making.

Flathmann, C., Nguyen, H., Kwame, A., & Guynup, C. (in press). The Teammate Divide: How Humans Approach Teamwork Differently with Human and AI Teammates. Proceedings of the ACM on Human-Computer Interaction (GROUP).

Kot, S., Engineer, M., Gilman, E., Flathmann, C., Pradham, A., & Dixon, E. Exploring the Role of Generative AI in Dementia Resilience Building Activities: Uncovering Opportunities and Challenges. ACM Transactions on Computer-Human Interaction.

Gilman, L., Flathmann, C., & Dixon, E. (2026). Addressing Procedural and Tooling Challenges in Juvenile Justice: Towards Responsible and Human-Centered Design. In Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems.

Delgado Solorzano, C., McNeese, N., Madathil, K., Flathmann, C., Toxtli, C., Bertrand, J., Gramopadhye, A., Guynup, C., Arnold, E., & Weng, N. (2026). Automating Underwater Search and Rescue under Different Levels of Visibility with Narrow and General Purpose AI Models. In 2026 International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE.

Basappa, R. R., Weng, N., Wang, Y., Yancey, M., Flathmann, C., & McNeese, N. J. (2026). Individual Differences as Cognitive Drivers: How Human Differences Shape Perceptions of Trust and Aversion Toward AI Teammates. 2026 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA).

Guynup, C., Nguyen, H., Basappa, R. R., Andre, K., Yancey, M., Flathmann, C., McNeese, N. J., Toxtli Hernandez, C., Chalil Madathil, K., & Gramopadhye, A. (2026). Expanding the Roster: Qualitative Needs Assessment for Autonomous Teammates in Hazardous Environments. 2026 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA).

Lancaster, C., Flathmann, C., O'Neill, T., Salas, E., & McNeese, N. J. (2025). Preparing for Tomorrow's Teamwork: Insights from eSports on How Human Expertise Shapes Training Needs for AI-Integrated Work. Journal of Organizational Behavior.

Flathmann, C., McNeese, N. J., Sengupta, S., & Johnson, E. (2025). Exploring Trust, Acceptance, and Behavioral Differences When Humans Collaborate with Large Language Models as Tools and Teammates. ACM Transactions on Interactive Intelligent Systems.

Hauptman, A. I., Schelble, B. G., Flathmann, C., Mallick, R., & McNeese, N. J. (2025). Ethical Adaptation: Exploring the Use of Adaptive Autonomy in the Design of Ethical AI Teammates in Healthcare. AI and Ethics.

Flathmann, C., McNeese, N. J., & O'Neill, T. A. (2025). Designing High-Impact Experiments for Human-Autonomy/AI Teaming. Journal of Cognitive Engineering and Decision Making.

Duan, W., Flathmann, C., McNeese, N., Scalia, M. J., Zhang, R., Gorman, J., ... & Yin, X. (2025). Trusting Autonomous Teammates in Human-AI Teams: A Literature Review. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems.

Schelble, B. G., Filer, G., Flathmann, C., & Chalil Madathil, K. (2025). Examining the Role of AI Information-Sharing on Trust in Human-AI Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

Wang, Y., Nguyen, H., Mallick, R., Andre, K., Duan, W., McNeese, N., & Flathmann, C. (2025). A Framework Considering the Cross-Effects of Human and AI Collaboration on Team Resilience. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

Basappa, R., Lancaster, C., Mallick, R., Flathmann, C., & McNeese, N. (2025). Mind the Gaps: How AI Shortcomings and Human Concerns May Disrupt Team Cognition in Human-AI Teams (HATs). Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

Flathmann, C., Schelble, B., & Ihekweazu, C. (2025). Leveraging Generative AI to Create Lightweight Simulations for Far-Future Autonomous Teammates. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

Nguyen, H., Wang, Y., Andre, K., Duan, W., Flathmann, C., & McNeese, N. (2025). Modeling Adaptive Autonomy at the Team Level: Understanding Team-Wide Autonomy and its Impact on Situation Awareness in Human-Autonomy Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

Guynup, C., Sawant, S., Delgado Solorzano, C., Arnold, E., Poe, A., Flathmann, C., McNeese, N., Chalil Madathil, K., Toxtli Hernandez, C., & Gramopadhye, A. (2025). Working in a Heartbeat: Considerations for AI Teammates in Search and Rescue Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

Basappa, R., Mallick, R., Flathmann, C., & McNeese, N. (2025). Unlocking Collective Potential: Modeling Creativity in Human-AI Teams. Proceedings of the Human Factors and Ergonomics Society Annual Meeting.

Zhang, R., Duan, W., Flathmann, C., McNeese, N., Knijnenburg, B., & Freeman, G. (2024). Verbal vs. Visual: How Humans Perceive and Collaborate with AI Teammates Using Different Communication Modalities in Various Human-AI Team Compositions. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW2), 1-34.

Sengupta, S., Flathmann, C., Schelble, B., Lyons, J. B., & McNeese, N. (2024). An analysis of ethical rationales and their impact on the perceived moral persona of AI teammates. AI and Ethics, 1-13.

Schelble, B. G., Flathmann, C., Macdonald, J. P., Knijnenburg, B., Brady, C., & McNeese, N. J. (2024). Modeling perceived information needs in human-AI teams: improving AI teammate utility and driving team cognition. Behaviour & Information Technology, 1-24.

Mallick, R., Flathmann, C., Duan, W., Schelble, B. G., & McNeese, N. J. (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.

Hauptman, A. I., Mallick, R., Flathmann, C., & McNeese, N. J. (2024). Human factors considerations for the context-aware design of adaptive autonomous teammates. Ergonomics.

Hauptman, A. I., Flathmann, C., & McNeese, N. J. (2024). Adapting to the human: A systematic review of a decade of human factors research on adaptive autonomy. Applied Ergonomics, 120, 104336.

Hauptman, A. I., Schelble, B. G., Duan, W., Flathmann, C., & McNeese, N. J. (2024). Understanding the influence of AI autonomy on AI explainability levels in human-AI teams using a mixed methods approach. Cognition, Technology & Work, 1-21.

Flathmann, C., Duan, W., McNeese, N., Hauptman, A., & Zhang, R. (2024). Empirically Understanding the Potential Impacts and Process of Social Influence in Human-AI Teams. Proceedings of the ACM on Human-Computer Interaction (CSCW).

Zhang, R., Flathmann, C., Duan, W., Schelble, B. G., McNeese, N. J., & Knijnenberg, B. (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.

O'Neill, T. A., Flathmann, C., McNeese, N. J., Jones, S. K., & Schelble, B. (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.

Musick, G., Duan, W., Sengupta, S., Flathmann, C., Knijnenburg, B., & McNeese, N. J. (2024). To Share or Not to Share: Understanding and Modeling Individual Disclosure Preferences in Recommender Systems for the Workplace. ACM GROUP.

Lancaster, C., Schulenberg, K., Flathmann, C., McNeese, N. J., & Freeman, G. (2024). 'It's Everybody's Role to Speak Up... But Not Everyone Will': Understanding AI Professionals' Perceptions of Accountability for AI Bias Mitigation. ACM Journal on Responsible Computing.

Hauptman, A. I., Schelble, B. G., Flathmann, C., & McNeese, N. J. (2024). The Role of Autonomy Levels and Contextual Risk in Designing Safer AI Teammates. In 2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS).

Flathmann, C., Schelble, B. G., & Galeano, A. (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.

Musick, G., Hauptman, A. I., Flathmann, C., McNeese, N. J., & Knijnenburg, B. P. (2023). Recommendations with Benefits: Exploring Explanations in Information Sharing Recommender Systems for Temporary Teams. International Journal of Human-Computer Interaction.

Mallick, R., Flathmann, C., Lancaster, C., Hauptman, A., McNeese, N. J., & Freeman, G. (2023). The Pursuit of Happiness: The Power and Influence of AI Teammate Emotion in Human-AI Teamwork. Behaviour & Information Technology.

Flathmann, C., Schelble, B. G., McNeese, N. J., Knijnenburg, B., Gramopadhye, A., & Madathil, K. C. (2023). The Purposeful Presentation of AI Teammates: Impacts on Human Acceptance and Perception. International Journal of Human-Computer Interaction.

McNeese, N. J., Flathmann, C., O'Neill, T., & Salas, E. (2023). Stepping out of the Shadow of Human-Human Teaming: Crafting a Unique Identity for Human-Autonomy Teams. Computers in Human Behavior.

O'Neill, T., Flathmann, C., McNeese, N. J., & Salas, E. (2023). 21st Century Teaming and Beyond: Advances in Human-Autonomy Teamwork. Computers in Human Behavior.

Flathmann, C., Schelble, B. G., Rosopa, P. J., McNeese, N. J., Mallick, R., & Madathil, K. C. (2023). Examining the Impact of Varying Levels of AI Teammate Influence on Human-AI Teams. International Journal of Human-Computer Studies, 177, 103061.

O'Neill, T., Flathmann, C., McNeese, N. J., & Salas, E. (2023). Human-Autonomy Teaming: Need for a Guiding Team-Based Framework? Computers in Human Behavior.

Zhang, R., Wen, D., Flathmann, C., Freeman, G., & McNeese, N. J. (2023). Investigating AI Teammate Communication Strategies and Their Impact in Human-AI Teams for Effective Teamwork. Proceedings of the ACM on Human-Computer Interaction (CSCW).

Flathmann, C., McNeese, N. J., Schelble, B. G., Knijnenburg, B., & Freeman, G. (2023). Understanding the Impact and Design of AI Teammate Etiquette. Human-Computer Interaction.

Schelble, B., Flathmann, C., McNeese, N. J., O'Neill, T., Pak, R., & Namara, M. (2022). Investigating the Effects of Perceived Teammate Artificiality on Human Performance and Cognition. International Journal of Human-Computer Interaction.

Schelble, B. G., Flathmann, C., Musick, G., McNeese, N. J., & Freeman, G. (2022). I See You: Examining the Role of Spatial Information in Human-Agent Teams. Proceedings of the ACM on Human-Computer Interaction (CSCW), 1-27.

Schelble, B. G., Flathmann, C., McNeese, N. J., Freeman, G., & Mallick, R. (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.

Guo, L., Flathmann, C., Anaraky, R., McNeese, N., & Knijnenburg, B. (2022). The Effect of Recommendation Source and Justification on Professional Development Recommendations for High School Teachers. HT'22: 33rd ACM Conference on Hypertext and Social Media.

Flathmann, C., Schelble, B. G., & McNeese, N. J. (2021). Fostering Human-Agent Team Leadership by Leveraging Human Teaming Principles. In 2021 IEEE 2nd International Conference on Human-Machine Systems (ICHMS).

Flathmann, C., Schelble, B. G., Zhang, R., & McNeese, N. J. (2021). Modeling and Guiding the Creation of Ethical Human-AI Teams. In Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society.

Schelble, B., Flathmann, C., Canonico, L. B., & McNeese, N. (2021). Understanding Human-AI Cooperation Through Game-Theory and Reinforcement Learning Models. In Proceedings of the Annual Hawaii International Conference on System Sciences.

Flathmann, C., Schelble, B., Tubre, B., McNeese, N., & Rodeghero, P. (2020). Invoking Principles of Groupware to Develop and Evaluate Present and Future Human-Agent Teams. In Proceedings of the 8th International Conference on Human-Agent Interaction.

Schelble, B. G., Flathmann, C., & McNeese, N. (2020). Towards Meaningfully Integrating Human-Autonomy Teaming in Applied Settings. In Proceedings of the 8th International Conference on Human-Agent Interaction.

Musick, G., Maloney, D., Flathmann, C., McNeese, N. J., & Walton, J. (2020). Differentiated Instruction Further Realized Through Teacher-Agent Teaming. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 64(1), 1318-1322.

Flathmann, C., McNeese, N., & Canonico, L. B. (2019). Using Human-Agent Teams to Purposefully Design Multi-Agent Systems. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1425-1429.

Canonico, L. B., Flathmann, C., & McNeese, N. (2019). Collectively Intelligent Teams: Integrating Team Cognition, Collective Intelligence, and AI for Future Teaming. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1466-1470.

Canonico, L. B., Flathmann, C., & McNeese, N. (2019). The Wisdom of the Market: Using Human Factors to Design Prediction Markets for Collective Intelligence. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1471-1475.

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