Supplement material for "Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings".
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analysis
responses
stimuli
study_ui
README.md
main_effect_bootstrap_pt1.pdf
main_effect_bootstrap_pt1.png
main_effect_bootstrap_pt2_wTitle_v2.pdf
main_effect_bootstrap_pt2_wTitle_v2.png
main_result_pt1_v3.pdf
main_result_pt1_v3.png
main_result_pt2_v3.pdf
main_result_pt2_v3.png

README.md

Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings

This repository contains the supplement material for "Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings"(paper), submitted to EuroVis 2018.

Content

  • study _ui : Screenshots of the user study interfaces.
  • stimuli : Html file that loading experiment stimuli.
  • responses : .csv file of user responses we used in our analysis.
  • analysis :
    • R scripts for linear mixed effect model analysis and its post-hoc tests.
    • Javascript code file for calculating bootstrapped means, 95% confidence intervals in a manner sensitive to a within-subjects design.

Main Result

Bootstrapped means and 95% confidence intervals

Effect_Bootstrap Pt1 Effect_Bootstrap Pt2

The effectiveness rankings of encodings

Effectiveness Ranking Pt1 Effectiveness Ranking Pt2

Cite us!

If you use our data in published research, please cite our EuroVis'18 paper:

Younghoon Kim, Jeffrey Heer. Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings, Computer Graphics Forum (Proc. EuroVis), 2018.