动画:从提示到人工智能生成的响应的动画制作
AInimation: Animating from Prompt to AI-Generated Responses
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中文总结 AI 辅助
研究探索提示与AI生成响应间的动画过渡,通过审查800个示例设计分类法,提出多种动画形式。实验表明添加动画过渡有助于用户审查响应,在定位元素、识别变化及验证提示解释方面表现更佳,适用于集成AI的软件,慢动画更优。
中文摘要 AI 辅助
我们探索在提示和人工智能生成的响应之间使用动画过渡。在审查了800个提示和响应示例后,我们为多模态文本和图像生成模型设计了动画过渡分类法。提出的动画包括将提示的元素平移和变形到响应中的最终位置;突出显示诸如修正错别字等修改;叠加结构要求以进行验证;以及展示模型如何理解引用。一项研究表明,添加动画过渡有助于用户审查响应:参与者在定位响应中的元素方面表现提高了43%;在识别变化方面提高了153%;在验证提示是否被正确解释方面提高了20%。我们的工作适用于所有集成人工智能的软件,并表明精心制作、较慢的动画比即时的人工智能响应更可取。
英文摘要
We explore the use of animated transitions between a prompt and an AI-generated response. After reviewing 800 examples of prompts and responses, we devise a taxonomy of animated transitions for multimodal text- and image-generative models. The proposed animations include translating and morphing elements of the prompt to their final location in the response; highlighting modifications such as fixed typos; overlaying structural requirements to verify them; and displaying how a model understands references. A study shows that adding animated transitions helps users review the response: participants performed 43% better at locating elements in the response; 153% better at identifying changes; and 20% better at verifying the prompt was correctly interpreted. Our work applies to all software that integrates AI and shows that well-crafted, slower animations are preferable to instant AI responses.