Seamless AI presents output as a finished, polished product that users consume rather than shape. This risks design fixation: users anchor on AI suggestions rather than generating their own ideas. We propose Generative Friction, which introduces intentional disruptions to AI output (fragmentation, delay, ambiguity) designed to transform it from finished product into semi-finished material, inviting human contribution rather than passive acceptance. In a qualitative study with six designers, we identified the different ways in which designers appropriated the different types of friction: users mined keywords from broken text, used delays as workspace for independent thought, and solved metaphors as creative puzzles. However, this transformation was not universal, motivating the concept of Friction Disposition, a user's propensity to interpret resistance as invitation rather than obstruction. Grounded in tolerance for ambiguity and pre-existing workflow orientation, Friction Disposition emerged as a potential moderator: high-disposition users treated friction as "liberating," while low-disposition users experienced drag. We contribute the concept of Generative Friction as distinct from Protective Friction, with design implications for AI tools that counter fixation while preserving agency.

翻译：无缝AI将输出呈现为完成、精致的产品，用户只能消费而无法塑造。这带来了设计固化的风险：用户会固着于AI的建议，而非生成自己的想法。我们提出“生成性摩擦”概念，通过刻意引入对AI输出的干扰（碎片化、延迟、模糊性），将其从成品转化为半成品材料，从而激发人类参与而非被动接受。在针对六位设计师的定性研究中，我们识别出设计师对不同类型的摩擦的不同挪用方式：用户从破碎文本中提取关键词，将延迟转化为独立思考的工作空间，把隐喻当作创意谜题来解构。然而，这种转化并非普遍存在，由此催生了“摩擦倾向”概念——用户将阻力视为邀请而非阻碍的倾向。基于对模糊性的容忍度和既有工作流程导向，摩擦倾向成为潜在的调节变量：高倾向用户将摩擦视为“解放”，而低倾向用户则感到“拖拽”。我们提出区别于“保护性摩擦”的“生成性摩擦”概念，为设计既能对抗固化又能保留自主权的AI工具提供了启示。