Dr. Christopher Flathmann

Assistant Professor, Human-Centered Computing, Clemson University

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Publications

Selected peer-reviewed publications and academic contributions

Publication Impact

50+
Publications
675
Citations
15
H-Index
22
i10-Index

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

Peer Reviewed Journal Articles

  • 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. https://doi.org/10.1177/15553434251327697
  • 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. https://doi.org/10.1145/3686976
  • 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. https://doi.org/10.1007/s43681-024-00515-5
  • 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. https://doi.org/10.1080/0144929X.2024.2396476
  • 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. https://doi.org/10.1016/j.ijhcs.2024.103355
  • 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. https://doi.org/10.1080/00140139.2024.2380341
  • 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. https://doi.org/10.1016/j.apergo.2024.104336
  • 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. https://doi.org/10.1007/s10111-024-00765-7
  • 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). https://doi.org/10.1145/3637326
  • Feature Paper: 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. http://dx.doi.org/10.1145/3635474
  • 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. https://doi.org/10.5465/amd.2024.0009
  • 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. https://doi.org/10.1145/3633074
  • 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. https://doi.org/10.1145/3632121
  • 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. https://doi.org/10.1080/10447318.2023.2278933
  • 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. Behavior and Information Technology. https://doi.org/10.1080/0144929X.2023.2277909
  • 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. https://doi.org/10.1080/10447318.2023.2254984
  • 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. https://doi.org/10.1016/j.chb.2023.107874
  • 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. https://doi.org/10.1016/j.chb.2023.107865
  • 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. https://doi.org/10.1016/j.ijhcs.2023.103061
  • 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. https://doi.org/10.1016/j.chb.2023.107762
  • 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). https://doi.org/10.1145/3610072
  • 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. https://doi.org/10.1080/07370024.2023.2189595
  • 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. https://doi.org/10.1080/10447318.2022.2085191
  • 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. https://doi.org/10.1145/3555099
  • Honorable Mention: 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. https://doi.org/10.1145/3492832

Book Chapters

  • Sengupta, S., Wen, D., Flathmann, C., & McNeese, N. J. (in press). Sustaining human-AI collaboration: Exploring the interplay between ethics and trust. In T. Reimer, L. van Swol., & A. Florack (Eds.), The Routledge Handbook of Communication and Social Cognition. Routledge/Taylor and Francis.
  • Flathmann, C., Schelble, B.G., & McNeese, N.J. (2023). Refocusing Human-AI Interaction Through a Teamwork Lens. Book Chapter in Handbook on Virtual Work. Edward Elgar Publishing. https://doi.org/10.4337/9781802200508.00013
  • 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. http://doi.org/10.4018/978-1-7998-3820-3.ch016

Peer Reviewed Conference Papers

  • Hauptman, A. I., Schelble, B. G., Flathmann, C., & McNeese, N. J. (2024, May). 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, August). 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 (p. 10711813241274425). Sage CA: Los Angeles, CA: SAGE Publications.
  • 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. https://doi.org/10.1145/3511095.3531280
  • 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. https://doi.org