Abstract
IVoLVER, the Interactive Visual Language for Visualization Extraction and Reconstruction, is a web-based pen and touch system that graphically supports the construction of interactive visualizations and allows the extraction of data from different types of digital artifacts and photographs. Together, these features enable the creation of visualizations from data that is not structured in traditional formats without the need of textual programming. This demonstration shows how iVoLVER visualizations are constructed and illustrates an interactive example that can be used in teaching and educational contexts.
Original language | English |
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Title of host publication | Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '16) |
Publisher | ACM |
Pages | 3727-3730 |
Number of pages | 4 |
ISBN (Electronic) | 9781450340823 |
DOIs | |
Publication status | Published - 7 May 2016 |
Event | 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 - San Jose, United States Duration: 7 May 2016 → 12 May 2016 Conference number: 24 https://chi2016.acm.org/wp/ |
Conference
Conference | 34th Annual CHI Conference on Human Factors in Computing Systems, CHI EA 2016 |
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Abbreviated title | CHI 2016 |
Country/Territory | United States |
City | San Jose |
Period | 7/05/16 → 12/05/16 |
Internet address |
Keywords
- Information visualization
- Visual information extraction
- Visual languages for visualization
- Visualization verification