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Visual Blending for Concept Representation: A Case Study on Emoji Generation
New Generation Computing ( IF 2.0 ) Pub Date : 2020-09-23 , DOI: 10.1007/s00354-020-00107-x
João M. Cunha , Nuno Lourenço , Pedro Martins , Penousal Machado

The emoji connection between visual representation and semantic knowledge, together with its large conceptual coverage have the potential to be exploited in computational approaches to the visual representation of concepts. An example of a system that explores this potential is Emojinating—a system that uses a process of visual blending of existing emoji to represent concepts. In this paper, we use the Emojinating system as a case study to analyse the appropriateness of visual blending for the visual representation of concepts. We conduct three experiments in which we analyse output quality, type of blend used, usefulness to the user and ease of interpretation. Our main contributions are the following: (i) the production of a double-word concept list for testing the system; (ii) an extensive user study using two different concept lists (single-word and double-word); and (iii) a study that compares produced blends with user drawings.

中文翻译:

概念表示的视觉混合:表情符号生成案例研究

视觉表示和语义知识之间的表情符号连接,连同其广泛的概念覆盖,有可能在概念的视觉表示的计算方法中被利用。探索这种潜力的系统的一个例子是 Emojinating——一种使用现有表情符号的视觉混合过程来表示概念的系统。在本文中,我们使用 Emojinating 系统作为案例研究来分析视觉混合对概念视觉表示的适当性。我们进行了三个实验,在这些实验中我们分析了输出质量、使用的混合类型、对用户的有用性和易解释性。我们的主要贡献如下: (i) 制作用于测试系统的双字概念列表;(ii) 使用两个不同概念列表(单字和双字)的广泛用户研究;(iii) 将生产的混合物与用户图纸进行比较的研究。
更新日期:2020-09-23
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