探索视觉提示：在生成式AI图像工具中用涂鸦与标注细化图像
Exploring Visual Prompts: Refining Images with Scribbles and Annotations in Generative AI Image Tools
AI总结：
本研究通过七位专业设计师的初步研究，比较了文本提示、标注和涂鸦三种输入方法在GenAI图像细化任务中的偏好，发现标注适合空间调整、涂鸦适合指定形状大小位置、文本提示适合详细描述，并为GenAI界面设计提供改进建议。
摘要：
生成式AI（GenAI）工具正越来越多地融入设计工作流程。尽管文本提示仍然是GenAI图像工具的主要输入方式，设计师往往难以撰写出有效的提示。此外，现有研究主要关注构思阶段的输入方法，对细化任务的关注有限。本研究通过一项由七位专业设计师参与的初步数字纸面研究，探讨了设计师对三种输入方法——文本提示、标注和涂鸦——的偏好。设计师更倾向于使用标注进行空间调整和引用图像内元素，而涂鸦在指定形状、大小和位置等属性时更受青睐，并且常与其他方法结合使用。文本提示在提供详细描述或当设计师希望获得更大的GenAI创造力时表现突出。然而，设计师对AI误解标注和涂鸦的风险以及撰写有效文本提示所需付出的努力表示担忧。这些见解为GenAI界面设计提供了参考，以更好地支持细化任务、契合工作流程并增强与AI系统的沟通。
英文摘要：
Generative AI (GenAI) tools are increasingly integrated into design workflows. While text prompts remain the primary input method for GenAI image tools, designers often struggle to craft effective ones. Moreover, research has primarily focused on input methods for ideation, with limited attention to refinement tasks. This study explores designers' preferences for three input methods - text prompts, annotations, and scribbles - through a preliminary digital paper-based study with seven professional designers. Designers preferred annotations for spatial adjustments and referencing in-image elements, while scribbles were favored for specifying attributes such as shape, size, and position, often combined with other methods. Text prompts excelled at providing detailed descriptions or when designers sought greater GenAI creativity. However, designers expressed concerns about AI misinterpreting annotations and scribbles and the effort needed to create effective text prompts. These insights inform GenAI interface design to better support refinement tasks, align with workflows, and enhance communication with AI systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
