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 (HAI, 2020)

Towards Meaningfully Integrating Human-Autonomy Teaming in Applied Settings. - Beau G. Schelble; Christopher Flathmann; Nathan J. McNeese (HAI, 2020)

Modeling and Guiding the Creation of Ethical Human-AI Teams. - Christopher Flathmann; Beau G. Schelble; Rui Zhang; Nathan J. McNeese (AIES, 2021)

Understanding Human-AI Cooperation Through Game-Theory and Reinforcement Learning Models. - Beau G. Schelble; Christopher Flathmann; Lorenzo Barberis Canonico; Nathan J. McNeese (HICSS, 2021)

Fostering Human-Agent Team Leadership by Leveraging Human Teaming Principles. - Christopher Flathmann; Beau G. Schelble; Nathan J. McNeese (ICHMS, 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 B. Henke (Comput. Hum. Behav., 2021)

Who/What Is My Teammate? Team Composition Considerations in Human-AI Teaming. - Nathan J. McNeese; Beau G. Schelble; Lorenzo Barberis Canonico; Mustafa Demir (IEEE Trans. Hum. Mach. Syst., 2021)

Human-Autonomy Teaming: A Review and Analysis of the Empirical Literature. - Thomas A. O'Neill; Nathan J. McNeese; Amy Barron; Beau G. Schelble (Hum. Factors, 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 (Proc. ACM Hum. Comput. Interact., 2022)

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 (Proc. ACM Hum. Comput. Interact., 2022)

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 (HICSS, 2023)

The Effect of AI Teammate Ethicality on Trust Outcomes and Individual Performance in Human-AI Teams. - Beau G. Schelble; Caitlin Lancaster; Wen Duan; Rohit Mallick; Nathan J. McNeese; Jeremy Lopez (HICSS, 2023)

Adapt and overcome: Perceptions of adaptive autonomous agents for human-AI teaming. - Allyson I. Hauptman; Beau G. Schelble; Nathan J. McNeese; Kapil Chalil Madathil (Comput. Hum. Behav., 2023)

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 (Int. J. Hum. Comput. Interact., 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 (Int. J. Hum. Comput. Stud., 2023)

The Role of Autonomy Levels and Contextual Risk in Designing Safer AI Teammates. - Allyson I. Hauptman; Beau G. Schelble; Christopher Flathmann; Nathan J. McNeese (ICHMS, 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 (Int. J. Hum. Comput. Stud., 2024)

I Know This Looks Bad, But I Can Explain: Understanding When AI Should Explain Actions In Human-AI Teams. - Rui Zhang 119; Christopher Flathmann; Geoff Musick; Beau G. Schelble; Nathan J. McNeese; Bart P. Knijnenburg; Wen Duan (ACM Trans. Interact. Intell. Syst., 2024)

Towards Ethical AI: Empirically Investigating Dimensions of AI Ethics, Trust Repair, and Performance in Human-AI Teaming. - Beau G. Schelble; Jeremy Lopez; Claire Textor; Rui Zhang; Nathan J. McNeese; Richard Pak; Guo Freeman (Hum. Factors, 2024)

Understanding the impact and design of AI teammate etiquette. - Christopher Flathmann; Nathan J. McNeese; Beau G. Schelble; Bart P. Knijnenburg; Guo Freeman (Hum. Comput. Interact., 2024)

Understanding the influence of AI autonomy on AI explainability levels in human-AI teams using a mixed methods approach. - Allyson I. Hauptman; Beau G. Schelble; Wen Duan; Christopher Flathmann; Nathan J. McNeese (Cogn. Technol. Work., 2024)

The Purposeful Presentation of AI Teammates: Impacts on Human Acceptance and Perception. - Christopher Flathmann; Beau G. Schelble; Nathan J. McNeese; Bart P. Knijnenburg; Anand K. Gramopadhye; Kapil Chalil Madathil (Int. J. Hum. Comput. Interact., 2024)

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 Ethics, 2024)

Modeling perceived information needs in human-AI teams: improving AI teammate utility and driving team cognition. - Beau G. Schelble; Christopher Flathmann; Jacob P. Macdonald; Bart P. Knijnenburg; Camden Brady; Nathan J. McNeese (Behav. Inf. Technol., 2025)

An analysis of ethical rationales and their impact on the perceived moral persona of AI teammates. - Subhasree Sengupta; Christopher Flathmann; Beau G. Schelble; Joseph B. Lyons; Nathan J. McNeese (AI Ethics, 2025)