An Agile New Research Framework for Hybrid Human-AI Teaming: Trust, Transparency, and Transferability Article Swipe

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Sabrina Caldwell , Penny Sweetser , Nicholas O’Donnell , Matthew J. Knight , Matthew Aitchison , Tom Gedeon , Daniel Johnson , Margot Brereton , Marcus Gallagher , David Conroy ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1145/3514257

We propose a new research framework by which the nascent discipline of human-AI teaming can be explored within experimental environments in preparation for transferal to real-world contexts. We examine the existing literature and unanswered research questions through the lens of an Agile approach to construct our proposed framework. Our framework aims to provide a structure for understanding the macro features of this research landscape, supporting holistic research into the acceptability of human-AI teaming to human team members and the affordances of AI team members. The framework has the potential to enhance decision-making and performance of hybrid human-AI teams. Further, our framework proposes the application of Agile methodology for research management and knowledge discovery. We propose a transferability pathway for hybrid teaming to be initially tested in a safe environment, such as a real-time strategy video game, with elements of lessons learned that can be transferred to real-world situations.

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Human–Computer Interaction

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Transferability Agile software development Affordance Knowledge management Computer science Construct (python library) Transparency (behavior) Process management Engineering Human–computer interaction Software engineering Programming language Logit Computer security Machine learning

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Type: article
Language: en
Landing Page: https://doi.org/10.1145/3514257
PDF: https://dl.acm.org/doi/pdf/10.1145/3514257
OA Status: bronze
Cited By: 52
References: 185
Related Works: 10
OpenAlex ID: https://openalex.org/W4225151977

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DOI: https://doi.org/10.1145/3514257

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Title: An Agile New Research Framework for Hybrid Human-AI Teaming: Trust, Transparency, and Transferability

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-04-29

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Authors: Sabrina Caldwell, Penny Sweetser, Nicholas O’Donnell, Matthew J. Knight, Matthew Aitchison, Tom Gedeon, Daniel Johnson, Margot Brereton, Marcus Gallagher, David Conroy

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Landing page: https://doi.org/10.1145/3514257

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Concepts: Transferability, Agile software development, Affordance, Knowledge management, Computer science, Construct (python library), Transparency (behavior), Process management, Engineering, Human–computer interaction, Software engineering, Programming language, Logit, Computer security, Machine learning

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Cited by: 52

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Citations by year (recent): 2025: 22, 2024: 17, 2023: 13

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References (count): 185

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