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arXiv · 2304.03288

VISHIEN-MAAT: Scrollytelling visualization design for explaining Siamese Neural Network concept to non-technical users

Noptanit Chotisarn·Sarun Gulyanon·Tianye Zhang·Wei Chen
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Abstract

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.

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Noptanit Chotisarn, Sarun Gulyanon, Tianye Zhang, Wei Chen. 2023-04-04. VISHIEN-MAAT: Scrollytelling visualization design for explaining Siamese Neural Network concept to non-technical users. https://doi.org/10.1016/j.visinf.2023.01.004

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