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        Artificial intelligence in the design process

        The Impact on Creativity and Team Collaboration

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        Author(s)
        Figoli, Fabio Antonio
        Mattioli, Francesca
        Rampino, Lucia
        Language
        English
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        Abstract
        The book discusses how to include artificial intelligence (AI) systems in the early stages of the design process. Today designers need new tools capable of supporting them in dealing with the increasing project’s complexity and empowering their performances and capabilities. AI systems appear to be powerful means to enhance designers’ creativity. This assumption was tested in a workshop where sixteen participants collaborated with three AI systems throughout the creative phases of research, sketching, and color selection. Results show that designers can access a broader level of variance and inspiration while reducing the risk of fossilization by triggering lateral thinking through AI-generated data. Therefore, AI could significantly impact the creative phases of the design process if applied consciously. Being AI systems intelligent agents, the book treats the Human-AI collaboration as a collaboration between human agents, proposing a set of guidelines helpful to achieving an efficient partnership with the machine.
        URI
        https://library.oapen.org/handle/20.500.12657/53627
        Keywords
        Design Process, Design Tools, Artificial Intelligence, Creativity, Human-AI Collaboration, Team Working
        ISBN
        9788835134640, 9788835134640
        Publisher
        FrancoAngeli
        Publisher website
        https://www.francoangeli.it/Home.aspx
        Publication date and place
        Milan, 2022
        Series
        Serie di architettura e design,
        Classification
        Furniture design
        Artificial intelligence
        Pages
        106
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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