We explored the challenges and potential solutions for building trust, inclusion, and collaboration in tech-hybrid or remote teams.

A focus on how technology supports transparent communication and fosters connections in tech-enabled environments related to socio-technical teams. (Tech-hybrid teams blend humans and robotics, AI, or other modern technology as team members.) 

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References:

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Berretta, S., Tausch, A., Ontrup, G., Gilles, B., Peifer, C., & Kluge, A. (2023). Defining human-AI teaming the human-centered way: A scoping review and network analysis. Frontiers in Artificial Intelligence, 6, 1250725–1250725. https://doi.org/10.3389/frai.2023.1250725

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Boccoli, G., Gastaldi, L., & Corso, M. (2024). Transformational leadership and work engagement in remote work settings: The moderating role of the supervisor’s digital communication skills. Leadership & Organization Development Journal, 45(7), 1240–1257. https://doi.org/10.1108/LODJ-09-2023-0490

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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

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Guznov, S., Lyons, J., Pfahler, M., Heironimus, A., Woolley, M., Friedman, J., & Neimeier, A. (2020). Robot Transparency and Team Orientation Effects on Human-Robot Teaming. International Journal of Human-Computer Interaction, 36(7), 650–660. https://doi.org/10.1080/10447318.2019.1676519

Hagemann, V., Rieth, M., Suresh, A., & Kirchner, F. (2023). Human-AI teams—Challenges for a team-centered AI at work. Frontiers in Artificial Intelligence, 6, 1252897–1252897. https://doi.org/10.3389/frai.2023.1252897

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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, 26(3), 435–455. https://doi.org/10.1007/s10111-024-00765-7

Hauptman, A. I., Schelble, B. G., McNeese, N. J., & Madathil, K. C. (2023). Adapt and overcome: Perceptions of adaptive autonomous agents for human-AI teaming. Computers in Human Behavior, 138, 107451-. https://doi.org/10.1016/j.chb.2022.107451

Li, M., Kwon, M., & Sadigh, D. (2021). Influencing leading and following in human–robot teams. Autonomous Robots, 45(7), 959–978. https://doi.org/10.1007/s10514-021-10016-7

Ma, L. M., Ijtsma, M., Feigh, K. M., & Pritchett, A. R. (2022). Metrics for Human-Robot Team Design: A Teamwork Perspective on Evaluation of Human-Robot Teams. ACM Transactions on Human-Robot Interaction, 11(3), 1–36. https://doi.org/10.1145/3522581

Naikar, N., Brady, A., Moy, G., & Kwok, H.-W. (2023). Designing human-AI systems for complex settings: ideas from distributed, joint, and self-organising perspectives of sociotechnical systems and cognitive work analysis. Ergonomics, 66(11), 1669–1694. https://doi.org/10.1080/00140139.2023.2281898

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