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<p>The integration of AI technology into design practices has sparked debate within the design community, particularly regarding its behavioral and process-oriented impacts. While existing studies predominantly rely on qualitative methods such as interviews and observations, these approaches may fall short in uncovering the intricate, cross-disciplinary relationships essential for a holistic understanding of AI’s societal implications. This study introduces an acceptance model tailored to designers, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The proposed model emphasizes the increasing role of online cooperation and affective drivers, including personal innovativeness and anxiety toward AI-integrated design tools. By analyzing 292 valid responses through structural equation modeling, we found that social influence and facilitating conditions are strongly correlated with positive attitudes toward cooperation, while performance expectancy emerged as the key driver for AI adoption in design. Notably, experienced professionals reported greater access to support and resources for AI integration. Although AI-induced anxiety affects certain aspects of technology adoption, it does not significantly diminish performance expectancy. In addition, the study discusses gender differences in technology acceptance and the influence of underlying geographic factors. These insights contribute to the broader discourse on the societal implications of AI, offering practical guidance for the development of AI-integrated design programs in educational and professional contexts.</p>

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The roles of cooperative attitude, personal innovativeness, and anxiety in AI adoption within the design community

  • 期刊论文

  • 发表日期：

    2025年5月26日

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  • Jo-Yu Kuo,
  • Tzu-Hsuan Wang

摘要

The integration of AI technology into design practices has sparked debate within the design community, particularly regarding its behavioral and process-oriented impacts. While existing studies predominantly rely on qualitative methods such as interviews and observations, these approaches may fall short in uncovering the intricate, cross-disciplinary relationships essential for a holistic understanding of AI’s societal implications. This study introduces an acceptance model tailored to designers, based on the Unified Theory of Acceptance and Use of Technology (UTAUT). The proposed model emphasizes the increasing role of online cooperation and affective drivers, including personal innovativeness and anxiety toward AI-integrated design tools. By analyzing 292 valid responses through structural equation modeling, we found that social influence and facilitating conditions are strongly correlated with positive attitudes toward cooperation, while performance expectancy emerged as the key driver for AI adoption in design. Notably, experienced professionals reported greater access to support and resources for AI integration. Although AI-induced anxiety affects certain aspects of technology adoption, it does not significantly diminish performance expectancy. In addition, the study discusses gender differences in technology acceptance and the influence of underlying geographic factors. These insights contribute to the broader discourse on the societal implications of AI, offering practical guidance for the development of AI-integrated design programs in educational and professional contexts.