Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures
K. Angerbauer, N. Rodrigues, R. Cutura, S. Öney, N. Pathmanathan, C. Morariu, D. Weiskopf, and M. Sedlmair. Dataset, (2022)Related to: Katrin Angerbauer, Nils Rodrigues, Rene Cutura, Seyda Öney, Nelusa Pathmanathan, Cristina Morariu, Daniel Weiskopf, and Michael Sedlmair. 2022. Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. In CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 134, 1-23. doi: 10.1145/3491102.3502133.
DOI: 10.18419/darus-2608
Abstract
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 Vis30K image dataset (http://ieee-dataport.org/2494).Here, we selected subset of images that were analyzed by four researchers as well as 200 crowdworkers on Amazon Mechanical Turk. Accessibility ratings, issues, helpful aspects and optional comments were provided for each image. Each image was rated in each CVD condition and by multiple crowdworkers.This dataset contains the anonymized raw data of the crowdsourcing study as well as other aggregated evaluation data such as correlation computations and comment analysis. Further, it comprises supplemental image and video files that could not be included into the paper.For more information please consult the paper and the README.html
Related to: Katrin Angerbauer, Nils Rodrigues, Rene Cutura, Seyda Öney, Nelusa Pathmanathan, Cristina Morariu, Daniel Weiskopf, and Michael Sedlmair. 2022. Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. In CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 134, 1-23. doi: 10.1145/3491102.3502133
%0 Generic
%1 angerbauer2022supplemental
%A Angerbauer, Katrin
%A Rodrigues, Nils
%A Cutura, Rene
%A Öney, Seyda
%A Pathmanathan, Nelusa
%A Morariu, Cristina
%A Weiskopf, Daniel
%A Sedlmair, Michael
%D 2022
%K darus mult ubs_10005 ubs_10017 ubs_10018 ubs_20008 ubs_20024 ubs_30086 ubs_30200 ubs_40132 ubs_40388 unibibliografie
%R 10.18419/darus-2608
%T Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures
%X 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 Vis30K image dataset (http://ieee-dataport.org/2494).Here, we selected subset of images that were analyzed by four researchers as well as 200 crowdworkers on Amazon Mechanical Turk. Accessibility ratings, issues, helpful aspects and optional comments were provided for each image. Each image was rated in each CVD condition and by multiple crowdworkers.This dataset contains the anonymized raw data of the crowdsourcing study as well as other aggregated evaluation data such as correlation computations and comment analysis. Further, it comprises supplemental image and video files that could not be included into the paper.For more information please consult the paper and the README.html
@misc{angerbauer2022supplemental,
abstract = {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 Vis30K image dataset (http://ieee-dataport.org/2494).Here, we selected subset of images that were analyzed by four researchers as well as 200 crowdworkers on Amazon Mechanical Turk. Accessibility ratings, issues, helpful aspects and optional comments were provided for each image. Each image was rated in each CVD condition and by multiple crowdworkers.This dataset contains the anonymized raw data of the crowdsourcing study as well as other aggregated evaluation data such as correlation computations and comment analysis. Further, it comprises supplemental image and video files that could not be included into the paper.For more information please consult the paper and the README.html},
added-at = {2022-07-19T08:40:42.000+0200},
affiliation = {Angerbauer, Katrin/Universität Stuttgart, Rodrigues, Nils/Universität Stuttgart, Cutura, Rene/Universität Stuttgart, Öney, Seyda/Universität Stuttgart, Pathmanathan, Nelusa/Universität Stuttgart, Morariu, Cristina/Universität Stuttgart, Weiskopf, Daniel/Universität Stuttgart, Sedlmair, Michael/Universität Stuttgart},
author = {Angerbauer, Katrin and Rodrigues, Nils and Cutura, Rene and Öney, Seyda and Pathmanathan, Nelusa and Morariu, Cristina and Weiskopf, Daniel and Sedlmair, Michael},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2261ef3e0a1158a2db7db97ac65235f18/unibiblio},
doi = {10.18419/darus-2608},
howpublished = {Dataset},
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intrahash = {261ef3e0a1158a2db7db97ac65235f18},
keywords = {darus mult ubs_10005 ubs_10017 ubs_10018 ubs_20008 ubs_20024 ubs_30086 ubs_30200 ubs_40132 ubs_40388 unibibliografie},
note = {Related to: Katrin Angerbauer, Nils Rodrigues, Rene Cutura, Seyda Öney, Nelusa Pathmanathan, Cristina Morariu, Daniel Weiskopf, and Michael Sedlmair. 2022. Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures. In CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 134, 1-23. doi: 10.1145/3491102.3502133},
orcid-numbers = {Angerbauer, Katrin/0000-0002-1126-5288, Rodrigues, Nils/0000-0002-1485-8249, Cutura, Rene/0000-0003-0395-2448, Öney, Seyda/0000-0002-5785-6788, Pathmanathan, Nelusa/0000-0002-6848-8554, Morariu, Cristina/0000-0003-2698-4258, Weiskopf, Daniel/0000-0003-1174-1026, Sedlmair, Michael/0000-0001-7048-9292},
timestamp = {2022-07-19T06:40:42.000+0200},
title = {Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures},
year = 2022
}