Using Visual Analytics Tool for Improving Data Comprehension
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F15%3A00083285" target="_blank" >RIV/00216224:14330/15:00083285 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Using Visual Analytics Tool for Improving Data Comprehension
Original language description
The efficacy of animated data visualizations in comparison with static data visualizations is still inconclusive. Some researches resulted that the failure to find out the benefits of animations may relate to the way how they are constructed and perceived. In this paper, we present visual analytics (VA) tool which makes use of enhanced animated data visualization methods. The time is an important variable that needs to be modeled in VA. VA methods like Motion Charts show changes over time by presentinganimations in two-dimensional space and by changing element appearances. The tool is primarily designed for exploratory analysis of academic analytics and supports various interactive visualization methods which enhance the Motion Charts concept. We evaluate the usefulness and the general applicability of the designed tool with a controlled experiment to assess the efficacy of the described methods. To interpret the experiment results, we utilized one-way repeated measures ANOVA.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings for the 8th International Conference on Educational Data Mining (EDM 2015)
ISBN
9788460694250
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
327-334
Publisher name
International Educational Data Mining Society
Place of publication
Madrid, Spain
Event location
Madrid, Spain
Event date
Jan 1, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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