Binyang Song, Joshua T. Gyory, Guanglu Zhang, Nicolas F. Soria Zurita, Gary Stump, Jay Martin, Simon Miller, Corey Balon, Michael Yukish, Christopher McComb, Jonathan Cagan
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Decoding the agility of artificial intelligence-assisted human design teams
Although necessary for complex problem solving, such as engineering design, team agility is often difficult to achieve in practice. The evolution of Artificial Intelligence (AI) affords unique opportunities for supporting team problem solving. While integrating assistive AI agents into human teams has at times improved team performance, it is still unclear if, how, and why AI affects team agility. A large-scale human experiment answers these questions, revealing that, with appropriately interfaced AIs, AI-assisted human teams enjoy improved coordination and communications, leading to better performance and adaptations to team disruptions, while devoting more effort to information handling and exploring the solution space more broadly. In sum, working with AI enables human team members to think more and act less.
期刊介绍：
Design Studies is a leading international academic journal focused on developing understanding of design processes. It studies design activity across all domains of application, including engineering and product design, architectural and urban design, computer artefacts and systems design. It therefore provides an interdisciplinary forum for the analysis, development and discussion of fundamental aspects of design activity, from cognition and methodology to values and philosophy.
Design Studies publishes work that is concerned with the process of designing, and is relevant to a broad audience of researchers, teachers and practitioners. We welcome original, scientific and scholarly research papers reporting studies concerned with the process of designing in all its many fields, or furthering the development and application of new knowledge relating to design process. Papers should be written to be intelligible and pertinent to a wide range of readership across different design domains. To be relevant for this journal, a paper has to offer something that gives new insight into or knowledge about the design process, or assists new development of the processes of designing.
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