iVoLVER : Interactive Visual Language for Visualization Extraction and Reconstruction
- Submitting institution
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University of St Andrews
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 251883017
- Type
- E - Conference contribution
- DOI
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10.1145/2858036.2858435
- Title of conference / published proceedings
- Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
- First page
- 4073
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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2
- Research group(s)
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E - Human-Computer Interaction
- Citation count
- 35
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- One often encounters presentations in graphical form for which the raw, machine-readable data is unavailable. How can we perform further analysis of this data, or re-present and re-mix it with other sources? This work allows interactive retrieval of data from existing presentations to drive a set of widgets for animation and exploration. It massively increases the value of already-printed and -presented datasets, letting analysts and non-programmer users create new analytics, and forms a significant and novel complement to existing visualisation techniques.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
