The Institute for Visualization and Interactive Systems (VIS) at the University of Stuttgart is an institute of the department of computer science in the faculty of computer science, electrical engineering and information technology. Around 70 people are conducting research and teaching in the areas of visualisation and computer graphics, human-computer interaction and cognitive systems, computer vision and pattern recognition as well as augmented and virtual reality. This DataVerse contains the research data produced by the institute in these fields. Large-scale projects – like collaborative research centres – the institute is participating in might have additional DataVerses containing data produced at VIS. Furthermore, we recommend also visiting the DataVerse of VISUS, our closely related central research institute for the area of visualisation.
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statistic.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 9.4 KB - MD5: 2d942647f0adbcb9632e97d5c5c8a1a2
step.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 22.4 KB - MD5: fffe5eaa2b40e25c9f94bb3b1a28f1d0
step.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 18.2 KB - MD5: d0b129b799f265b045f18675ffc5ac95
sticky.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 1.3 KB - MD5: eabb5c820e923a2f4dc9d8949850f284
sticky.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 30.5 KB - MD5: 2ef90cfcfda40d1ad91c82979f24add3
sticky.min.css
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Cascading Style Sheet - 607 B - MD5: 666e9651691b98a8ed295018fab77311
sticky.min.js
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
Javascript Code - 11.6 KB - MD5: 2115b84f7f4f2748f08951a84a0d1ce7
subject_file_0_10.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 102.1 KB - MD5: 5fe4be2ebe663e468f7ea95d0b715c9e
subject_file_0_1.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 98.0 KB - MD5: 89508700129a6f6c130a4e33bd2f2e08
subject_file_0_2.json
Sep 13, 2022 - Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"
JSON - 101.3 KB - MD5: 7848e333d653f7b90abc44a68ff171eb
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