Abstract
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.
Original language | English |
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Title of host publication | Proceedings - 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC) - VL/HCC 2019 |
Editors | Justin Smith, Christopher A. Bogart, Judith Good, Scott D. Fleming |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 257-259 |
Number of pages | 3 |
ISBN (Electronic) | 9781728108100 |
ISBN (Print) | 9781728108117 |
DOIs | |
Publication status | Published - 2019 |
Event | IEEE Symposium on Visual Languages and Human-Centric Computing 2019 - Memphis, United States of America Duration: 14 Oct 2019 → 18 Oct 2019 https://human-se.github.io/vlhcc2019/ https://ieeexplore.ieee.org/xpl/conhome/8809324/proceeding (Proceedings) |
Conference
Conference | IEEE Symposium on Visual Languages and Human-Centric Computing 2019 |
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Abbreviated title | VL/HCC 2019 |
Country/Territory | United States of America |
City | Memphis |
Period | 14/10/19 → 18/10/19 |
Internet address |