BIG CAT RG

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.

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).

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.

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.

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., Mallick, R., Flathmann, C., & McNeese, N. J. (2024). Human factors considerations for the context-aware design of adaptive autonomous teammates. Ergonomics, 1-17.

Musick, G., Duan, W., Najafian, S., Sengupta, S., Flathmann, C., Knijnenburg, B., & McNeese, N. (2024). To Share or Not to Share: Understanding and Modeling Individual Disclosure Preferences in Recommender Systems for the Workplace. Proceedings of the ACM on Human-Computer Interaction, 8(GROUP), 1-28.

Lancaster, C. M., Schulenberg, K., Flathmann, C., McNeese, N. J., & Freeman, G. (2023). "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.

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

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, 1-17.

Mallick, R., Flathmann, C., Lancaster, C., Hauptman, A., McNeese, N., & Freeman, G. (2023). The pursuit of happiness: the power and influence of AI teammate emotion in human-AI teamwork. Behaviour & Information Technology, 1-25.

McNeese, N. J., Flathmann, C., O'Neill, T. A., & Salas, E. (2023). Stepping out of the shadow of human-human teaming: Crafting a unique identity for human-autonomy teams. Computers in Human Behavior, 148, 107874.

Zhang, R., Duan, W., Flathmann, C., McNeese, N., Freeman, G., & Williams, A. (2023). Investigating AI teammate communication strategies and their impact in human-AI teams for effective teamwork. Proceedings of the ACM on Human-Computer Interaction, 7(CSCW2), 1-31.

O'Neill, T. A., Flathmann, C., McNeese, N. J., & Salas, E. (2023). 21st Century teaming and beyond: Advances in human-autonomy teamwork. Computers in Human Behavior, 147, 107865.

Flathmann, C., Schelble, B. G., McNeese, N. J., Knijnenburg, B., Gramopadhye, A. K., & Chalil Madathil, K. (2023). The Purposeful Presentation of AI Teammates: Impacts on Human Acceptance and Perception. International Journal of Human-Computer Interaction, 1-18.

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. A., Flathmann, C., McNeese, N. J., & Salas, E. (2023). Human-autonomy Teaming: Need for a guiding team-based framework?. Computers in Human Behavior, 146, 107762.

Schelble, B. G., Flathmann, C., McNeese, N. J., O'Neill, T., Pak, R., & Namara, M. (2023). Investigating the effects of perceived teammate artificiality on human performance and cognition. International Journal of Human-Computer Interaction, 39(13), 2686-2701.

Flathmann, C., Schelble, B. G., & McNeese, N. J. (2023). Refocusing human-AI interaction through a teamwork lens. In Handbook of Virtual Work (pp. 109-127). Edward Elgar Publishing.

Flathmann, C., McNeese, N. J., Schelble, B., Knijnenburg, B., & Freeman, G. (2023). Understanding the impact and design of AI teammate etiquette. Human-Computer Interaction, 1-28.

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, 6(CSCW2), 1-27.

Guo, L., Flathmann, C., Anaraky, R., McNeese, N., & Knijnenburg, B. (2022, June). The effect of recommendation source and justification on professional development recommendations for high school teachers. In Proceedings of the 33rd ACM conference on hypertext and social media (pp. 175-185).

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.

Schelble, B. G., Flathmann, C., Scalia, M., Zhou, S., Myers, C., McNeese, N. J., ... & Freeman, G. (2022). Addressing the Spread of Trust and Distrust in Distributed Human-AI Teaming Constellations. In CHI TRAIT Workshop (2022).

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.

Flathmann, C., Schelble, B. G., & McNeese, N. J. (2021, September). 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.

Flathmann, C., Schelble, B. G., Zhang, R., & McNeese, N. J. (2021, July). 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).

Schelble, B., Flathmann, C., Canonico, L. B., & Mcneese, N. (2021, January). Understanding human-AI cooperation through game-theory and reinforcement learning models. In Proceedings of the Annual Hawaii International Conference on System Sciences.

Musick, G., Maloney, D., Flathmann, C., McNeese, N. J., & Walton, J. (2020, December). Differentiated instruction further realized through teacher-agent teaming. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (Vol. 64, No. 1, pp. 1318-1322). Sage CA: Los Angeles, CA: SAGE Publications.

Schelble, B. G., Flathmann, C., & McNeese, N. (2020, November). Towards meaningfully integrating human-autonomy teaming in applied settings. In Proceedings of the 8th international conference on human-agent interaction (pp. 149-156).

Flathmann, C., Schelble, B., Tubre, B., McNeese, N., & Rodeghero, P. (2020, November). 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).

Flathmann, C., McNeese, N., & Canonico, L. B. (2019, November). Using human-agent teams to purposefully design multi-agent systems. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 63, No. 1, pp. 1425-1429). Sage CA: Los Angeles, CA: SAGE Publications.

Canonico, L. B., Flathmann, C., & McNeese, N. (2019, November). Collectively intelligent teams: Integrating team cognition, collective intelligence, and AI for future Teaming. In Proceedings of the human factors and ergonomics society annual meeting (Vol. 63, No. 1, pp. 1466-1470). Sage CA: Los Angeles, CA: SAGE Publications.

Canonico, L. B., Flathmann, C., & McNeese, N. (2019, November). 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 (Vol. 63, No. 1, pp. 1471-1475). Sage CA: Los Angeles, CA: SAGE Publications.

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