Institut für Visualisierung und Interaktive Systeme

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.

Computer Vision

Collaborative Artificial Intelligence

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21 to 30 of 30 Results

Data for Recognition of Visual Memory Recall Processes Using Eye Movement Analysis Oct 28, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "Data for Recognition of Visual Memory Recall Processes Using Eye Movement Analysis", https://doi.org/10.18419/DARUS-3225, DaRUS, V1 This dataset was recorded to investigate the feasibility of recognising visual memory recall from eye movements. Eye movement data was recorded of participants looking at familiar and unfamiliar pictures from four picture categories: abstract, landscapes, faces, and buildings. The study was designed with two objectives in mind: (1) to elicit distin...
Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography" Oct 20, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"", https://doi.org/10.18419/DARUS-3134, DaRUS, V1 This dataset was recorded to investigate the problem of recognising reading activity from eye movements. The experimental setup was designed with two main objectives in mind: (1) to record eye movements in an unobtrusive manner in a mobile real-world setting, and (2) to evaluate how well reading can be recognised for persons in transit. We defined...
Data for "Eye Movement Analysis for Activity Recognition Using Electrooculography" Oct 17, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "Data for "Eye Movement Analysis for Activity Recognition Using Electrooculography"", https://doi.org/10.18419/DARUS-3135, DaRUS, V1 This dataset was recorded to investigate the problem of recognising common office activities from eye movements. The experimental scenario involved five office-based activities - copying a text, reading a printed paper, taking handwritten notes, watching a video, and browsing the Web - and periods during which participants took a rest (the NULL cla...
Collaborative Artificial Intelligence(Universität Stuttgart) Sep 1, 2022 Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.
Handwriting Inpainting Dataset Jun 22, 2022 - Computer Vision Schmalfuss, Jenny; Scheurer, Erik; Zhao, Heng; Karantzas, Nikolaos; Bruhn, Andrés; Labate, Demetrio, 2022, "Handwriting Inpainting Dataset", https://doi.org/10.18419/DARUS-2886, DaRUS, V1 The dataset contains binary handwriting masks, which are sampled from scanned pages. Based on the overlay size, the training and test datasets are divided into five size ranges: 0-5%, 5-10%, 10-15%, 15-20% and 20-25% of the image.
Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering" Jun 21, 2022 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations" Wang, Yao; Bulling, Andreas, 2022, "Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"", https://doi.org/10.18419/DARUS-2826, DaRUS, V1, UNF:6:AuvgRc09o1rESd63AqlW9Q== [fileUNF] Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied quantitatively so far. We propose a question-answering paradigm to study visualisation recallability and present VisRecall -- a novel dataset consisting of 200 information visual...
Computer Vision(Universität Stuttgart) May 30, 2022
Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow" Apr 4, 2022 Tremel, Tina; Kögel, Jochen; Jauernig, Florian; Meier, Sebastian; Thom, Dennis; Becker, Franziska; Müller, Christoph; Koch, Steffen, 2022, "Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow"", https://doi.org/10.18419/DARUS-2779, DaRUS, V1 This data set provides supplemental material for the publication "VITALflow: Visual Interactive Traffic Analysis with NetFlow", namely a video illustrating how the system is used and additional information on the expert evaluation that has been performed. The VITALflow system is a Visual Analytics tool for investigating NetFlow/IPFIX data for the p...
Data Collected During the Digital Humanities Project 'Dhimmis & Muslims - Analysing Multireligious Spaces in the Medieval Muslim World' Mar 16, 2022 Weltecke, Dorothea; Koch, Steffen; Barczok, Ralph; Franke, Max; Vest, Bernd Andreas, 2022, "Data Collected During the Digital Humanities Project 'Dhimmis & Muslims - Analysing Multireligious Spaces in the Medieval Muslim World'", https://doi.org/10.18419/DARUS-2318, DaRUS, V1 This repository contains historical data collected in the digital humanities project Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval Muslim World. The project was funded by the VolkswagenFoundation within the scope of the Mixed Methods initiative. The project was a collaboration between the Institute for Medieval History II of t...
Data for: A Comparative Study of Visualizations for Multiple Time Series Dec 1, 2021 Franke, Max; Knabben, Moritz; Lang, Julian; Koch, Steffen; Blascheck, Tanja, 2021, "Data for: A Comparative Study of Visualizations for Multiple Time Series", https://doi.org/10.18419/DARUS-2134, DaRUS, V1, UNF:6:jaMGOfSI5L/wPcnoJNKcaQ== [fileUNF] Study data of comparative study of visualizations for multiple time series including anonymized participant data from Prolific, data set generation scripts, source code for the study framework, and analysis scripts. This repository also serves as supplemental material for the publication titled "A Comparative Study of Visualizations for Multiple Ti...

Data for Recognition of Visual Memory Recall Processes Using Eye Movement Analysis

Oct 28, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "Data for Recognition of Visual Memory Recall Processes Using Eye Movement Analysis", https://doi.org/10.18419/DARUS-3225, DaRUS, V1

This dataset was recorded to investigate the feasibility of recognising visual memory recall from eye movements. Eye movement data was recorded of participants looking at familiar and unfamiliar pictures from four picture categories: abstract, landscapes, faces, and buildings. The study was designed with two objectives in mind: (1) to elicit distin...

Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"

Oct 20, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "Data for "Robust Recognition of Reading Activity in Transit Using Wearable Electrooculography"", https://doi.org/10.18419/DARUS-3134, DaRUS, V1

This dataset was recorded to investigate the problem of recognising reading activity from eye movements. The experimental setup was designed with two main objectives in mind: (1) to record eye movements in an unobtrusive manner in a mobile real-world setting, and (2) to evaluate how well reading can be recognised for persons in transit. We defined...

Data for "Eye Movement Analysis for Activity Recognition Using Electrooculography"

Oct 17, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "Data for "Eye Movement Analysis for Activity Recognition Using Electrooculography"", https://doi.org/10.18419/DARUS-3135, DaRUS, V1

This dataset was recorded to investigate the problem of recognising common office activities from eye movements. The experimental scenario involved five office-based activities - copying a text, reading a printed paper, taking handwritten notes, watching a video, and browsing the Web - and periods during which participants took a rest (the NULL cla...

Collaborative Artificial Intelligence(Universität Stuttgart)

Sep 1, 2022

Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.

Handwriting Inpainting Dataset

Jun 22, 2022 - Computer Vision

Schmalfuss, Jenny; Scheurer, Erik; Zhao, Heng; Karantzas, Nikolaos; Bruhn, Andrés; Labate, Demetrio, 2022, "Handwriting Inpainting Dataset", https://doi.org/10.18419/DARUS-2886, DaRUS, V1

The dataset contains binary handwriting masks, which are sampled from scanned pages. Based on the overlay size, the training and test datasets are divided into five size ranges: 0-5%, 5-10%, 10-15%, 15-20% and 20-25% of the image.

Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"

Jun 21, 2022 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"

Wang, Yao; Bulling, Andreas, 2022, "Data for "VisRecall: Quantifying Information Visualisation Recallability via Question Answering"", https://doi.org/10.18419/DARUS-2826, DaRUS, V1, UNF:6:AuvgRc09o1rESd63AqlW9Q== [fileUNF]

Despite its importance for assessing the effectiveness of communicating information visually, fine-grained recallability of information visualisations has not been studied quantitatively so far. We propose a question-answering paradigm to study visualisation recallability and present VisRecall -- a novel dataset consisting of 200 information visual...

Computer Vision(Universität Stuttgart)

May 30, 2022

Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow"

Apr 4, 2022

Tremel, Tina; Kögel, Jochen; Jauernig, Florian; Meier, Sebastian; Thom, Dennis; Becker, Franziska; Müller, Christoph; Koch, Steffen, 2022, "Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow"", https://doi.org/10.18419/DARUS-2779, DaRUS, V1

This data set provides supplemental material for the publication "VITALflow: Visual Interactive Traffic Analysis with NetFlow", namely a video illustrating how the system is used and additional information on the expert evaluation that has been performed. The VITALflow system is a Visual Analytics tool for investigating NetFlow/IPFIX data for the p...

Data Collected During the Digital Humanities Project 'Dhimmis & Muslims - Analysing Multireligious Spaces in the Medieval Muslim World'

Mar 16, 2022

Weltecke, Dorothea; Koch, Steffen; Barczok, Ralph; Franke, Max; Vest, Bernd Andreas, 2022, "Data Collected During the Digital Humanities Project 'Dhimmis & Muslims - Analysing Multireligious Spaces in the Medieval Muslim World'", https://doi.org/10.18419/DARUS-2318, DaRUS, V1

This repository contains historical data collected in the digital humanities project Dhimmis & Muslims – Analysing Multireligious Spaces in the Medieval Muslim World. The project was funded by the VolkswagenFoundation within the scope of the Mixed Methods initiative. The project was a collaboration between the Institute for Medieval History II of t...

Data for: A Comparative Study of Visualizations for Multiple Time Series

Dec 1, 2021

Franke, Max; Knabben, Moritz; Lang, Julian; Koch, Steffen; Blascheck, Tanja, 2021, "Data for: A Comparative Study of Visualizations for Multiple Time Series", https://doi.org/10.18419/DARUS-2134, DaRUS, V1, UNF:6:jaMGOfSI5L/wPcnoJNKcaQ== [fileUNF]

Study data of comparative study of visualizations for multiple time series including anonymized participant data from Prolific, data set generation scripts, source code for the study framework, and analysis scripts. This repository also serves as supplemental material for the publication titled "A Comparative Study of Visualizations for Multiple Ti...

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