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Comparative Evaluation of Animated Scatter Plot Transitions : Supplemental Material

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Datum der Erstveröffentlichung

2024

Autor:innen

Rodrigues, Nils
Brandt, Vincent
Weiskopf, Daniel

Andere Beitragende

Repositorium der Erstveröffentlichung

Universitätsbibliothek Stuttgart

Version des Datensatzes

Link zur Lizenz
oops

Angaben zur Forschungsförderung

Deutsche Forschungsgemeinschaft (DFG): 251654672

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Core Facility der Universität Konstanz
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Titel in einer weiteren Sprache

Publikationsstatus
Published

Zusammenfassung

We evaluated several animations for transitions between scatter plots in a crowd-sourcing study. We published the results in a paper and provide additional information within this supplemental material.

Contents:

  • Tables that did not fit into the original paper, due to page limits.

  • An anonymized print-out of the preregistration. The original preregistration is available at OSF (DOI) and on the internet archive.

  • Videos demonstrating the tasks used in the study: used to record samples for the study, used for participant training, and used to detect distracted participants and bots.

  • An interactive demonstration of all study tasks (including training and attention checks). The source code is contained within the directory ./interactive-demo/ of this supplemental material and also available at GitHub.

  • The animation library that we used for the study. We also include a test page for readers to use with their own data sets. The source code is contained within the directory ./animation-library/ of this supplemental material and also avialable at GitHub.

  • The list of nonsensical statements that we used for attention checks on Prolific.

  • The statistical tests with the recorded study data, some of which we reported in the main paper. We also provide reports from the preliminary power analysis that we performed to determine the number of participants for the study.

  • The recorded pseudo-anonymized study data for further analysis.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Computer and Information Science, Data Visualization, Scatter Plot, Animation, User Study

Zugehörige Publikationen in KOPS

Publikation
Zeitschriftenartikel
Comparative Evaluation of Animated Scatter Plot Transitions
(2024) Rodrigues, Nils; Dennig, Frederik L.; Brandt, Vincent; Keim, Daniel A.; Weiskopf, Daniel
Erschienen in: IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers (IEEE). 2024, 30(6), S. 2929-2941. ISSN 1077-2626. eISSN 1941-0506. Verfügbar unter: doi: 10.1109/tvcg.2024.3388558
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Zitieren

ISO 690RODRIGUES, Nils, Frederik L. DENNIG, Vincent BRANDT, Daniel A. KEIM, Daniel WEISKOPF, 2024. Comparative Evaluation of Animated Scatter Plot Transitions : Supplemental Material
BibTex
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Contents:

-  Tables that did not fit into the original paper, due to page limits.

- An anonymized print-out of the preregistration. The original preregistration is available at OSF (DOI) and on the internet archive.

- Videos demonstrating the tasks used in the study: used to record samples for the study, used for participant training, and used to detect distracted participants and bots.

- An interactive demonstration of all study tasks (including training and attention checks). The source code is contained within the directory ./interactive-demo/ of this supplemental material and also available at GitHub.

- The animation library that we used for the study. We also include a test page for readers to use with their own data sets. The source code is contained within the directory ./animation-library/ of this supplemental material and also avialable at GitHub.

- The list of nonsensical statements that we used for attention checks on Prolific.

- The statistical tests with the recorded study data, some of which we reported in the main paper. We also provide reports from the preliminary power analysis that we performed to determine the number of participants for the study.

- The recorded pseudo-anonymized study data for further analysis.</dcterms:abstract>
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