A Framework for Authoring Logically Ordered Visual Data Stories

被引：0
|
作者：
Obie, Humphrey O. [1 ]
Chua, Caslon [1 ]
Avazpour, Iman [2 ]
Abdelrazek, Mohamed [2 ]
Grundy, John [3 ]
Bednarz, Tomasz [4 ]
机构：
[1] Swinburne Univ Technol, Melbourne, Vic, Australia
[2] Deakin Univ, Geelong, Vic, Australia
[3] Monash Univ, Melbourne, Vic, Australia
[4] CSIRO Data61, Sydney, NSW, Australia
来源：
2019 IEEE SYMPOSIUM ON VISUAL LANGUAGES AND HUMAN-CENTRIC COMPUTING (VL/HCC 2019) | 2019年
关键词：
D O I：
10.1109/vlhcc.2019.8818925
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Visual data storytelling has gained widespread adoption as a means of communicating information visualisation. This is partly due to the increased interest in data journalism. Besides being engaging, it has been shown to foster better comprehension and memorability of information to target audiences. The visual data story authoring process involves several stages. However, current tools neither consolidate the visual data story creation process nor integrate the essential features, such as the recommendation of logically sequenced story pieces, for producing coherent narratives. This paper briefly demonstrates our approach and framework for supporting the creation of logically sequenced visual data stories.
引用
收藏
页码：257 / 259
页数：3
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