Using Visual Analytics Tool for Improving Data Comprehension

D 2015

Using Visual Analytics Tool for Improving Data Comprehension

GÉRYK, Jan

Základní údaje

Originální název

Using Visual Analytics Tool for Improving Data Comprehension

Autoři

GÉRYK, Jan (203 Česká republika, garant, domácí)

Vydání

Madrid, Spain, Proceedings for the 8th International Conference on Educational Data Mining (EDM 2015), od s. 327-334, 8 s. 2015

Nakladatel

International Educational Data Mining Society

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Španělsko

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14330/15:00083285

Organizační jednotka

Fakulta informatiky

ISBN

978-84-606-9425-0

Klíčová slova anglicky

Animation; motion charts; visual analytics; academic analytics; experiment

Štítky

core_B, firank_B

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 2. 12. 2015 15:33, RNDr. Jan Géryk, Ph.D.

Anotace

V originále

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 presenting animations 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.

Návaznosti

MUNI/A/1206/2014, interní kód MU

Název: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Akronym: SKOMU)

Investor: Masarykova univerzita, Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

GÉRYK, Jan. Using Visual Analytics Tool for Improving Data Comprehension. Online. In Olga C. Santos, Jesus G. Boticario, Cristobal Romero, Mykola Pechenizkiy, Agathe Merceron, Piotr Mitros, José María Luna, Cristian Mihaescu, Pablo Moreno, Arnon Hershkovitz, Sebastian Ventura, and Michel Desmarais. Proceedings for the 8th International Conference on Educational Data Mining (EDM 2015). Madrid, Spain: International Educational Data Mining Society, 2015, s. 327-334. ISBN 978-84-606-9425-0.

@inproceedings{1305137,
   author = {Géryk, Jan},
   address = {Madrid, Spain},
   booktitle = {Proceedings for the 8th International Conference on Educational Data Mining (EDM 2015)},
   editor = {Olga C. Santos, Jesus G. Boticario, Cristobal Romero, Mykola Pechenizkiy, Agathe Merceron, Piotr Mitros, José María Luna, Cristian Mihaescu, Pablo Moreno, Arnon Hershkovitz, Sebastian Ventura, and Michel Desmarais},
   keywords = {Animation; motion charts; visual analytics; academic analytics; experiment},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Madrid, Spain},
   isbn = {978-84-606-9425-0},
   pages = {327-334},
   publisher = {International Educational Data Mining Society},
   title = {Using Visual Analytics Tool for Improving Data Comprehension},
   year = {2015}
}

TY  - JOUR
ID  - 1305137
AU  - Géryk, Jan
PY  - 2015
TI  - Using Visual Analytics Tool for Improving Data Comprehension
PB  - International Educational Data Mining Society
CY  - Madrid, Spain
SN  - 9788460694250
KW  - Animation
KW  - motion charts
KW  - visual analytics
KW  - academic analytics
KW  - experiment
N2  - 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 presenting animations 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.
ER  -

GÉRYK, Jan. Using Visual Analytics Tool for Improving Data Comprehension. Online. In Olga C. Santos, Jesus G. Boticario, Cristobal Romero, Mykola Pechenizkiy, Agathe Merceron, Piotr Mitros, José María Luna, Cristian Mihaescu, Pablo Moreno, Arnon Hershkovitz, Sebastian Ventura, and Michel Desmarais. \textit{Proceedings for the 8th International Conference on Educational Data Mining (EDM 2015)}. Madrid, Spain: International Educational Data Mining Society, 2015, s.~327-334. ISBN~978-84-606-9425-0.

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