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1 to 10 of 17 Results
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....
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).
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...
Oct 31, 2022 - Perceptual User Interfaces
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 In...
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 28, 2022 - Perceptual User Interfaces
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 tw...
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
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...
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 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...
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