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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1 to 10 of 25 Results
Oct 28, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "3DGazeSim", https://doi.org/10.18419/darus-3232, DaRUS, V1
Dataset of 3D gaze from eye tracking. 14 participants Ages 22-29 years PUPIL head-mounted eye tracker
Computer Vision(Universität Stuttgart)
Computer Vision logo
May 30, 2022
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...
Oct 28, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"", https://doi.org/10.18419/darus-3231, DaRUS, V1, UNF:6:ED4k3r2vTuaHMlglWvQ+Gw== [fileUNF]
We were able to record a dataset of more than 80 hours of eye tracking data. The dataset comprises 7.8 hours of outdoor activities, 14.3 hours of social interaction, 31.3 hours of focused work, 8.3 hours of travel, 39.5 hours of reading, 28.7 hours of computer work, 18.3 hours of...
Oct 17, 2022 - Perceptual User Interfaces
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...
Oct 28, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "Data for "Prediction of Search Targets From Fixations in Open-World Settings"", https://doi.org/10.18419/darus-3226, DaRUS, V1
We designed a human study to collect fixation data during visual search. We opted for a task that involved searching for a single image (the target) within a synthesised collage of images (the search set). Each of the collages are the random permutation of a finite set of images....
Oct 20, 2022 - Perceptual User Interfaces
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...
Oct 28, 2022 - Perceptual User Interfaces
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. Th...
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 pub...
Nov 30, 2022 - Perceptual User Interfaces
Bulling, Andreas, 2022, "DEyeAdicContact", https://doi.org/10.18419/darus-3289, DaRUS, V1, UNF:6:7QxaU+oeOPfaI8gMpCn5cw== [fileUNF]
We created our own dataset of natural dyadic interactions with fine-grained eye contact annotations using videos of dyadic interviews published on YouTube. Especially compared to lab-based recordings, these Youtube interviews allow us to analyse behaviour in a natural situation....
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