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Exploring Designers’ Perceptions and Practices of Collaborating with Generative AI as a Co-creative Agent in a Multi-stakeholder Design Process: Take the Domain of Avatar Design as an Example

Published: 27 February 2024 Publication History

Abstract

Nowadays, the traditional workflow of designers’ completing complicated design tasks has undergone a profound transformation due to the pervasive intervention of generative artificial intelligence (AI) tools, especially when multi-stakeholder participation is getting involved in the design process. Yet we know little about the designers’ perceptions and practices of collaborating with generative AI as a co-creative agent within the context of multi-stakeholder participation. To investigate these questions, we took the domain of avatar design as an example and conducted a qualitative interview study with 21 expert avatar designers who have got different levels of experience and expertise in utilizing generative AI tools in their design workflow. We found that designers not only would fall in a dilemma when deciding whether to consider AI as a co-creative agent according to different stakeholders’ interests, but they also face many challenges in effectively co-creating with the current systems, including challenges in consistently adjusting AI outputs and getting design inspiration within the iterative generation process, etc. Based on our findings, we concluded both the epistemological and creative patterns of collaborating with generative AI and highlighted several design opportunities from both technical and ethical perspectives to better support future designer-AI co-creation.

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  1. Exploring Designers’ Perceptions and Practices of Collaborating with Generative AI as a Co-creative Agent in a Multi-stakeholder Design Process: Take the Domain of Avatar Design as an Example

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    CHCHI '23: Proceedings of the Eleventh International Symposium of Chinese CHI
    November 2023
    634 pages
    ISBN:9798400716454
    DOI:10.1145/3629606
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 27 February 2024

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    Author Tags

    1. AI-assisted Design
    2. Avatar Design
    3. Co-creation Experience
    4. Generative AI
    5. Human-AI Collaboration
    6. Stakeholder Identification

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    • Refereed limited

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    • Duke Kunshan University and Houtu Grant

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    CHCHI 2023
    CHCHI 2023: Chinese CHI 2023
    November 13 - 16, 2023
    Denpasar, Bali, Indonesia

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    Overall Acceptance Rate 17 of 40 submissions, 43%

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