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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Supplemental Material for "VITALflow: Visual Interactive Traffic Analysis with NetFlow"
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...
Stimulus Data for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"
May 26, 2023
Hirsch, Alexandra; Franke, Max; Koch, Steffen, 2023, "Stimulus Data for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"", https://doi.org/10.18419/darus-3463, DaRUS, V1
We compare how well participants can determine the geographical direction of an animated map transition. In our between-subject online study, each of three groups is shown map transitions in one map projection: Mercator, azimuthal equidistant projection, or two-point equidistant...
Source code for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"
Source code for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"
May 26, 2023
Hirsch, Alexandra; Franke, Max; Koch, Steffen, 2023, "Source code for "Comparative Study on the Perception of Direction in Animated Map Transitions Using Different Map Projections"", https://doi.org/10.18419/darus-3540, DaRUS, V1
This repository contains the source code related to an OSF pre-registration for an online study. The goal of the study was to evaluate how well participants can determine the geographical direction of an animated map transition. In our between-subject online study, each of three...
Shaded relief WebMercator 'slippy map' tiles based on NASA Shuttle Radar Topography Mission Global 1 arc second V003 topographic height data
Shaded relief WebMercator 'slippy map' tiles based on NASA Shuttle Radar Topography Mission Global 1 arc second V003 topographic height data
Jan 29, 2024
Franke, Max, 2024, "Shaded relief WebMercator 'slippy map' tiles based on NASA Shuttle Radar Topography Mission Global 1 arc second V003 topographic height data", https://doi.org/10.18419/darus-3837, DaRUS, V1
This dataset contains WebMercator tiles which contain gray-scale shaded relief (hill shades), and nothing else. The tiles have a resolution of 256×256px, suitable for web mapping libraries such as Leaflet. The hill shades are generated from SRTM altitude data, which cover the lan...
Perceptual User Interfaces(Universität Stuttgart)
Perceptual User Interfaces logo
Sep 1, 2022
Group headed by Andreas Bulling of the Human-Computer Interaction and Cognitive Systems department of the University of Stuttgart.
Ontologies and Rules for Context-Aware Assessment of the Usability of Output Devices and Modalities in Ubiquitous Mobility Systems
Jun 16, 2023
Keller, Christine, 2023, "Ontologies and Rules for Context-Aware Assessment of the Usability of Output Devices and Modalities in Ubiquitous Mobility Systems", https://doi.org/10.18419/darus-3385, DaRUS, V1
This dataset contains OWL ontologies and SWRL that model the usage context and usability of output devices and modalities for ubiquitous mobility systems. It also contains a usability ontology modeling usability attributes relevant in ubiquitous mobility systems. The SWRL rule se...
MPIIPrivacEye
Nov 30, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "MPIIPrivacEye", https://doi.org/10.18419/darus-3286, DaRUS, V1
First-person video dataset recorded in daily life situations of 17 participants, annotated by themselves for privacy sensitivity. The dataset of Steil et al. contains more than 90 hours of data recorded continuously from 20 participants (six females, aged 22-31) over more than fo...
MPIIMobileAttention
Nov 30, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "MPIIMobileAttention", https://doi.org/10.18419/darus-3285, DaRUS, V1
This is a novel long-term dataset of everyday mobile phone interactions, continuously recorded from 20 participants engaged in common activities on a university campus over 4.5 hours each (more than 90 hours in total).
MPIIGaze
Oct 28, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "MPIIGaze", https://doi.org/10.18419/darus-3230, DaRUS, V1
We present the MPIIGaze dataset that contains 213,659 images we collected from 15 participants during natural everyday laptop use over more than three months. The number of images collected by each participant varied from 34,745 to 1,498. Our dataset is significantly more variabl...
MPIIFaceGaze
Mar 14, 2023 - Perceptual User Interfaces
Bulling, Andreas, 2023, "MPIIFaceGaze", https://doi.org/10.18419/darus-3240, DaRUS, V1
We present the MPIIFaceGaze dataset which is based on the MPIIGaze dataset, with the additional human facial landmark annotation and the face regions available. We added additional facial landmark and pupil center annotations for 37,667 face images. Facial landmarks annotations w...
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