Problem
Research questions and friction points this paper is trying to address.
normative behavior
creative practitioners
task specificity
generative text-to-image systems
Exploring Normativity in Stable Diffusion: Insights for XAI in the Arts
🤖 AI Summary
研究通过14位创意从业者使用Stable Diffusion完成不同具体度任务的实验，探讨了文本到图像系统中的规范性行为及其对创意过程的影响。
📝 Abstract
Generative text-to-image (T2I) systems are increasingly adopted in creative practice, yet their normative behaviors remain underexplored from the perspective of creative practitioners. In this workshop paper, we present a within-subject study with 14 creative practitioners using Stable Diffusion to create illustration from two tasks of differing specificity. We investigate whether and how practitioners perceive normative behavior in a T2I system and how it impacts their creative process depending on task specificity. Our findings show that participants perceived normative behavior through invariant patterns, stereotypical output, and unsolicited omission or addition of details. These experiences led to feelings of disempowerment and creative compromise. We discuss implications for XAIxArts, including prompt transparency and artist empowerment in creative contexts.
Innovation
Methods, ideas, or system contributions that make the work stand out.
Normative Behavior
Creative Process
XAIxArts
Prompt Transparency
Artist Empowerment
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