The past decade has witnessed rapid progress in AI research since the breakthrough in deep learning. AI technology has been applied in almost every field; therefore, technical and non-technical end-users must understand these technologies to exploit them. However existing materials are designed for experts, but non-technical users need appealing materials that deliver complex ideas in easy-to-follow steps. One notable tool that fits such a profile is scrollytelling, an approach to storytelling that provides readers with a natural and rich experience at the reader's pace, along with in-depth interactive explanations of complex concepts. Hence, this work proposes a novel visualization design for creating a scrollytelling that can effectively explain an AI concept to non-technical users. As a demonstration of our design, we created a scrollytelling to explain the Siamese Neural Network for the visual similarity matching problem. Our approach helps create a visualization valuable for a short-timeline situation like a sales pitch. The results show that the visualization based on our novel design helps improve non-technical users' perception and machine learning concept knowledge acquisition compared to traditional materials like online articles.

翻译：过去十年见证了深度学习突破后人工智能研究的飞速发展。人工智能技术已几乎应用于所有领域，因此技术与非技术终端用户都需要理解这些技术以充分利用它们。然而，现有材料主要面向专家设计，非技术用户需要更具吸引力的材料，能以易于理解的步骤传递复杂思想。滚动叙事正是一种符合这一需求的独特工具——它通过让读者按自身节奏获得自然丰富的阅读体验，并配合深度交互式解释来阐述复杂概念。为此，本文提出一种创新的可视化设计方法，用于创建能向非技术用户有效解释人工智能概念的滚动叙事。作为设计验证，我们构建了一个针对视觉相似性匹配问题的孪生神经网络解释型滚动叙事。该方法有助于在销售演示等短时场景中创建有价值的可视化内容。结果表明，与在线文章等传统材料相比，基于本创新设计的可视化方案能有效提升非技术用户的认知水平与机器学习概念知识获取能力。