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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11 to 20 of 30 Results

MPIIEmo Feb 24, 2023 - Collaborative Artificial Intelligence Bulling, Andreas, 2023, "MPIIEmo", https://doi.org/10.18419/DARUS-3287, DaRUS, V1 We present a human-validated dataset that contains 224 high-resolution, multi-view video clips and audio recordings of emotionally charged interactions between eight couples of actors. The dataset is fully annotated with categorical labels for four basic emotions (anger, happiness, sadness, and surprise) and continuous labels for valence, activatio...
DEyeAdicContact Nov 30, 2022 - Collaborative Artificial Intelligence 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. All interviews were conducted via video conferencing and provide front...
MPIIMobileAttention Nov 30, 2022 - Collaborative Artificial Intelligence 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).
MPIIPrivacEye Nov 30, 2022 - Collaborative Artificial Intelligence 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 four hours each. Participants were students with different backgrounds a...
MPIIEgoFixation Oct 31, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "MPIIEgoFixation", https://doi.org/10.18419/DARUS-3234, DaRUS, V1, UNF:6:fcDo56Ha9jxYApA9klubEQ== [fileUNF] This dataset is made up of handmade fixation annotations for a subset of the private dataset created in Yusuke Sugano and Andreas Bulling. 2015. Self-calibrating head-mounted eye trackers using egocentric visual saliency. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. ACM, 363-372. https://doi.org/10.1145/2...
Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models" Oct 28, 2022 - Collaborative Artificial Intelligence 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 watching media, 7 hours of eating, and 11.4 hours of other (special)...
MPIIDPEye: Privacy-Aware Eye Tracking Using Differential Privacy Oct 28, 2022 - Collaborative Artificial Intelligence Bulling, Andreas, 2022, "MPIIDPEye: Privacy-Aware Eye Tracking Using Differential Privacy", https://doi.org/10.18419/DARUS-3235, DaRUS, V1, UNF:6:1+E3rPNFm33/BHVCDizlJA== [fileUNF] We designed a privacy-aware VR interface that uses differential privacy, which we evaluate on a new 20-participant dataset for two privacy sensitive tasks. The data consists of eye gaze as participants read different types of documents. The dataset consists of a .zip file with two folders (Eye_Tracking_Data and Eye_Movement_Features), a .csv file w...
3DGazeSim Oct 28, 2022 - Collaborative Artificial Intelligence 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
MPIIGaze Oct 28, 2022 - Collaborative Artificial Intelligence 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 variable than existing ones with respect to appearance and illumination. The...
Data for "Prediction of Search Targets From Fixations in Open-World Settings" Oct 28, 2022 - Collaborative Artificial Intelligence 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. To explore the impact of the similarity in appearance between target...

MPIIEmo

Feb 24, 2023 - Collaborative Artificial Intelligence

Bulling, Andreas, 2023, "MPIIEmo", https://doi.org/10.18419/DARUS-3287, DaRUS, V1

We present a human-validated dataset that contains 224 high-resolution, multi-view video clips and audio recordings of emotionally charged interactions between eight couples of actors. The dataset is fully annotated with categorical labels for four basic emotions (anger, happiness, sadness, and surprise) and continuous labels for valence, activatio...

DEyeAdicContact

Nov 30, 2022 - Collaborative Artificial Intelligence

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. All interviews were conducted via video conferencing and provide front...

MPIIMobileAttention

Nov 30, 2022 - Collaborative Artificial Intelligence

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).

MPIIPrivacEye

Nov 30, 2022 - Collaborative Artificial Intelligence

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 four hours each. Participants were students with different backgrounds a...

MPIIEgoFixation

Oct 31, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "MPIIEgoFixation", https://doi.org/10.18419/DARUS-3234, DaRUS, V1, UNF:6:fcDo56Ha9jxYApA9klubEQ== [fileUNF]

This dataset is made up of handmade fixation annotations for a subset of the private dataset created in Yusuke Sugano and Andreas Bulling. 2015. Self-calibrating head-mounted eye trackers using egocentric visual saliency. In Proceedings of the 28th Annual ACM Symposium on User Interface Software & Technology. ACM, 363-372. https://doi.org/10.1145/2...

Data for "Discovery of Everyday Human Activities From Long-term Visual Behaviour Using Topic Models"

Oct 28, 2022 - Collaborative Artificial Intelligence

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 watching media, 7 hours of eating, and 11.4 hours of other (special)...

MPIIDPEye: Privacy-Aware Eye Tracking Using Differential Privacy

Oct 28, 2022 - Collaborative Artificial Intelligence

Bulling, Andreas, 2022, "MPIIDPEye: Privacy-Aware Eye Tracking Using Differential Privacy", https://doi.org/10.18419/DARUS-3235, DaRUS, V1, UNF:6:1+E3rPNFm33/BHVCDizlJA== [fileUNF]

We designed a privacy-aware VR interface that uses differential privacy, which we evaluate on a new 20-participant dataset for two privacy sensitive tasks. The data consists of eye gaze as participants read different types of documents. The dataset consists of a .zip file with two folders (Eye_Tracking_Data and Eye_Movement_Features), a .csv file w...

3DGazeSim

Oct 28, 2022 - Collaborative Artificial Intelligence

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

MPIIGaze

Oct 28, 2022 - Collaborative Artificial Intelligence

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 variable than existing ones with respect to appearance and illumination. The...

Data for "Prediction of Search Targets From Fixations in Open-World Settings"

Oct 28, 2022 - Collaborative Artificial Intelligence

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. To explore the impact of the similarity in appearance between target...

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