Examining the Text-to-Image Community of Practice: Why and How do People Prompt Generative AIs? | Proceedings of the 15th Conference on Creativity and Cognition (2024)

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Author: Téo Sanchez

Published: 19 June 2023 Publication History

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    Abstract

    Image generation gained popularity with machine learning (ML) models generating images from text, fuelling new online communities of practices. This work explores the sociology, motivations, and usages of AI art hobbyists. We analyzed an online questionnaire answered by 64 practitioners and a dataset of user prompts sent to the Stable Diffusion generative model. Our findings suggest that TTI generation is a recreational activity mainly conducted by narrow socio-demographic groups who use auxiliary techniques across platforms and beyond request-response interactions. Inherent model limitations and finding suitable prompt formulation are the main obstacles practitioners face. A taxonomy and a corresponding ML model capable of recognizing the semantic content of unseen prompts were created to conduct the user prompt analysis. The prompt analysis revealed that artist names are the main specifier used beside the main subject, often in sequences. We finally discuss the design and socio-technical implications of our work for creativity support.

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    Cited By

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    • Peng XKoch JMackay W(2024)DesignPrompt: Using Multimodal Interaction for Design Exploration with Generative AIDesigning Interactive Systems Conference10.1145/3643834.3661588(804-818)Online publication date: 1-Jul-2024

      https://dl.acm.org/doi/10.1145/3643834.3661588

    • Shelby RSrinivasan RBurgdorf KLena JRostamzadeh N(2024)Creative ML Assemblages: The Interactive Politics of People, Processes, and ProductsProceedings of the ACM on Human-Computer Interaction10.1145/36373158:CSCW1(1-30)Online publication date: 26-Apr-2024

      https://dl.acm.org/doi/10.1145/3637315

    • Palani SRamos G(2024)Evolving Roles and Workflows of Creative Practitioners in the Age of Generative AIProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656190(170-184)Online publication date: 23-Jun-2024

      https://dl.acm.org/doi/10.1145/3635636.3656190

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    Index Terms

    1. Examining the Text-to-Image Community of Practice: Why and How do People Prompt Generative AIs?

      1. Computing methodologies

        1. Artificial intelligence

          1. Natural language processing

            1. Information extraction

        2. Human-centered computing

          1. Collaborative and social computing

            1. Empirical studies in collaborative and social computing

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        Examining the Text-to-Image Community of Practice: Why and How do People Prompt Generative AIs? | Proceedings of the 15th Conference on Creativity and Cognition (2)

        C&C '23: Proceedings of the 15th Conference on Creativity and Cognition

        June 2023

        564 pages

        ISBN:9798400701801

        DOI:10.1145/3591196

        Copyright © 2023 ACM.

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        Published: 19 June 2023

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        Author Tags

        1. community of practice
        2. text-to-image generation

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        • Research-article
        • Research
        • Refereed limited

        Funding Sources

        • Banque Publique d'Investissem*nt France

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        C&C '23

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        • SIGCHI

        C&C '23: Creativity and Cognition

        June 19 - 21, 2023

        Virtual Event, USA

        Acceptance Rates

        Overall Acceptance Rate 108 of 371 submissions, 29%

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        Examining the Text-to-Image Community of Practice: Why and How do People Prompt Generative AIs? | Proceedings of the 15th Conference on Creativity and Cognition (3)

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        View all

        • Peng XKoch JMackay W(2024)DesignPrompt: Using Multimodal Interaction for Design Exploration with Generative AIDesigning Interactive Systems Conference10.1145/3643834.3661588(804-818)Online publication date: 1-Jul-2024

          https://dl.acm.org/doi/10.1145/3643834.3661588

        • Shelby RSrinivasan RBurgdorf KLena JRostamzadeh N(2024)Creative ML Assemblages: The Interactive Politics of People, Processes, and ProductsProceedings of the ACM on Human-Computer Interaction10.1145/36373158:CSCW1(1-30)Online publication date: 26-Apr-2024

          https://dl.acm.org/doi/10.1145/3637315

        • Palani SRamos G(2024)Evolving Roles and Workflows of Creative Practitioners in the Age of Generative AIProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656190(170-184)Online publication date: 23-Jun-2024

          https://dl.acm.org/doi/10.1145/3635636.3656190

        • Domínguez Hernández AKrishna SPerini AKatell MBennett SBorda AHashem YHadjiloizou SMahomed SJayadeva SAitken MLeslie D(2024)Mapping the individual, social and biospheric impacts of Foundation ModelsProceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency10.1145/3630106.3658939(776-796)Online publication date: 3-Jun-2024

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        • Torricelli MMartino MBaronchelli AAiello L(2024)The Role of Interface Design on Prompt-mediated Creativity in Generative AIProceedings of the 16th ACM Web Science Conference10.1145/3614419.3644000(235-240)Online publication date: 21-May-2024

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        • Mahdavi Goloujeh ASullivan AMagerko B(2024)Is It AI or Is It Me? Understanding Users’ Prompt Journey with Text-to-Image Generative AI ToolsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642861(1-13)Online publication date: 11-May-2024

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