31 to 40 of 86 Results
MATLAB Source Code - 371 B -
MD5: 49965bf008130599708afde40a195ce7
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Sep 21, 2022
Rodrigues, Nils; Schulz, Christoph; Döring, Sören; Baumgartner, Daniel; Krake, Tim; Weiskopf, Daniel, 2022, "Supplemental Material for Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution", https://doi.org/10.18419/DARUS-3055, DaRUS, V1
Supplemental material for the paper "Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution". Contains: math behind Relaxed Dot Plots additional images pseudo-anonymous study data source code for library and test application To view the material, extract supplemental.zip and open index.html in a web browser. |
Sep 21, 2022 -
Supplemental Material for Relaxed Dot Plots: Faithful Visualization of Samples and Their Distribution
ZIP Archive - 169.9 MB -
MD5: 3d83b74d9c8f3607dc0db81aed8eaf82
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Jul 11, 2022 - SFB-TRR 161 A08 "A Learning-Based Research Methodology for Visualization"
Angerbauer, Katrin; Rodrigues, Nils; Cutura, Rene; Öney, Seyda; Pathmanathan, Nelusa; Morariu, Cristina; Weiskopf, Daniel; Sedlmair, Michael, 2022, "Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures", https://doi.org/10.18419/DARUS-2608, DaRUS, V1, UNF:6:uNArOgq9AXAmdvLcE/mMVA== [fileUNF]
Study data and supplemental material for the paper- Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures presented at CHI 2022. We performed a large scale data study on the color vision deficiency (CVDs) accessibility of paper figures, considering four CVDs. As images for our study we used the... |
Tabular Data - 193.7 KB - 3 Variables, 6000 Observations - UNF:6:XR2sKRAbJBoypox+9RN28Q==
3 tuple for neutralization effect |
Tabular Data - 1.1 KB - 6 Variables, 21 Observations - UNF:6:Bi+4s/uQzUqFKEofn7029A==
aggregated accessibility data by image type |
MPEG-4 Video - 36.3 MB -
MD5: 277884dae73c00f3bbd6b45734dd8198
video of our analysis tool. |
MS Excel Spreadsheet - 18.0 KB -
MD5: 98f70d3dc279c490c4a9e3d6e03a475c
topics resulting from comment analysis |
Tabular Data - 208.5 KB - 38 Variables, 980 Observations - UNF:6:aDfP1/HW/Brm7ZPiHJwMJQ==
raw results of the 5 control images we used |
Tabular Data - 4.1 KB - 19 Variables, 18 Observations - UNF:6:QsTox4+NsqumWk7bU1AOHA==
correlation matrix of issues, labels, and accessibility ratings in the deuteranomaly condition. |