Publications

Publication record.

This page reflects the publication sections listed in the current CV, spanning journals, book chapters, conference papers, workshop papers, and posters.

50+ Publications
HCI Human-AI collaboration, teaming, and human factors
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Dissertation

  • Flathmann, C. (February 2023). How to Make Agents and Influence Teammates: Understanding the Social Influence AI Teammates Have in Human-AI Teams. Committee: Nathan McNeese, Brian Dean, Eileen Kraemer, Brygg Ullmer, Laine Mears.

Journal Articles

  • 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).
  • 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.
  • 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.
  • 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. DOI
  • 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. DOI
  • 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. DOI
  • 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. DOI
  • 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, 103355. DOI
  • Hauptman, A. I., Mallick, R., Flathmann, C., & McNeese, N. J. (2024). Human Factors Considerations for the Context-Aware Design of Adaptive Autonomous Teammates. Ergonomics, 1-17. DOI
  • 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. DOI
  • 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. DOI
  • 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). DOI
  • 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. DOI. Recognized as feature paper by TIIS.
  • 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” by Bernadeta Goštautaitė, Irina Liubertė, Sharon K. Parker, and Ilona Bučiūnienė: Calling for a Different Path for the Future of Human-Robot Teaming. Academy of Management Discoveries. DOI
  • 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. DOI
  • 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 Responsible Computing. DOI
  • 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. DOI
  • 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 and Information Technology. DOI
  • Flathmann, C., Schelble, B. G., McNeese, N. J., Knijnenberg, 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. DOI
  • 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. DOI
  • 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. DOI
  • 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. DOI
  • 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. DOI
  • Zhang, R., Wen, D., Flathmann, C., Freeman, G., & McNeese, N. J. (2023). Investigating AI Teammate’s Communication Strategies and Their Impact in Human-AI Teams for Effective Teamwork. Proceedings of the ACM on Human-Computer Interaction (CSCW). DOI
  • 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. DOI
  • 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. DOI
  • 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. DOI
  • 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. DOI. Honorable Mention Paper Award.

Book Chapters

  • Sengupta, S., Duan, W., Flathmann, C., & McNeese, N. J. (2026). Sustaining Human-AI Collaboration and Teams: Exploring the Interplay Between Ethics and Trust. In The Routledge Handbook of Communication and Social Cognition (pp. 330-339). Routledge.
  • Flathmann, C., Schelble, B. G., & McNeese, N. J. (2023). Refocusing Human-AI Interaction Through a Teamwork Lens. In Handbook on Virtual Work. Edward Elgar Publishing. DOI
  • Rapa, L. J., Marshall, J. C., Madison, S. M., Flathmann, C., Knijnenburg, B. P., & McNeese, N. J. (2022). Clemson University’s Teacher Learning Progression Program: Personalized Advanced Credentials for Teachers. In Handbook of Research on Credential Innovations for Inclusive Pathways to Professions (pp. 313-334). IGI Global. DOI

Conference Full Papers

  • 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). Best Paper.
  • 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).
  • 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 (pp. 1-23).
  • 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. DOI
  • 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. DOI
  • 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. DOI
  • Nguyen, H., Wang, Y., André, 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. DOI
  • 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. DOI
  • 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. DOI
  • 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) (pp. 1-7). IEEE.
  • Flathmann, C., Schelble, B. G., & Galeano, A. (2024). Empirical Impacts of Independent and Collaborative Training on Task Performance and Improvement in Human-AI Teams. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting.
  • 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. DOI
  • 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) (pp. 1-6). IEEE. DOI
  • 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 (pp. 469-479). DOI
  • 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. Nominated for Best Paper. DOI
  • 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 (pp. 15-24). Awarded Overall Best Paper. DOI
  • 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 (pp. 149-156). DOI
  • 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. DOI
  • 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. DOI
  • 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. DOI
  • 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. DOI

Workshop Papers and Organization

  • Flathmann, C., & McNeese, N. J. (2022). Understanding the Criticality of Human Adaptation when Designing Human-Centered AI Teammates. 2022 NeurIPS Workshop on Human-Centered Artificial Intelligence.
  • Schelble, B. G., Flathmann, C., Scalia, M., Zhou, S., Myers, C., McNeese, N. J., Gorman, J., & Freeman, G. (2022). Addressing the Spread of Trust and Distrust in Distributed Human-AI Teaming Constellations. Workshop on Trust and Reliance in AI-Human Teams (TRAIT), CHI 2022.
  • Guo, L., Anaraky, R., Flathmann, C., McNeese, N. J., & Knijnenburg, B. (2021). How to Recommend Professional Development Pathways to High School Teachers. Workshop on Human-Machine Partnerships in the Future of Work, CSCW 2021.
  • Schelble, B. G., Flathmann, C., & McNeese, N. J. (2021). Reducing Bias by Prioritizing Multi-Cultural Human-Agent Teams. Workshop on Human-Machine Partnerships in the Future of Work, CSCW 2021.

Research Posters

  • Flathmann, C., Schelble, B. G., & McNeese, N. J. (2020). Creating Human-Oriented Multi-Agent Teams. Insights @ BMW Manufacturing Co. LLC, Greenville, SC.
  • Flathmann, C., & McNeese, N. J. (2019). Using Human-Agent Teams to Purposefully Design Multi-Agent Teams. Clemson 2019 Research Symposium.