Title | ||
---|---|---|
An Agile New Research Framework for Hybrid Human-AI Teaming: Trust, Transparency, and Transferability |
Abstract | ||
---|---|---|
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. |
Year | DOI | Venue |
---|---|---|
2022 | 10.1145/3514257 | ACM Transactions on Interactive Intelligent Systems |
Keywords | DocType | Volume |
Hybrid teams, human-machine, human-AI, teaming, collaboration, trust, transparency, video games | Journal | 12 |
Issue | ISSN | Citations |
3 | 2160-6455 | 0 |
PageRank | References | Authors |
0.34 | 0 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sabrina Caldwell | 1 | 0 | 0.34 |
Penny Sweetser | 2 | 0 | 1.01 |
Nicholas O'Donnell | 3 | 0 | 0.34 |
Matthew J. Knight | 4 | 0 | 0.34 |
Matthew Aitchison | 5 | 0 | 1.01 |
T. D. Gedeon | 6 | 1255 | 86.44 |
Daniel Johnson | 7 | 0 | 0.34 |
Margot Brereton | 8 | 0 | 0.34 |
Marcus Gallagher | 9 | 0 | 0.34 |
David Conroy | 10 | 0 | 0.34 |