Collaborative Artificial Intelligence

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

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21 to 25 of 25 Results

Data for "Prediction of Search Targets From Fixations in Open-World Settings" Oct 28, 2022 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...
Data for Recognition of Visual Memory Recall Processes Using Eye Movement Analysis Oct 28, 2022 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 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 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...
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...

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

Oct 28, 2022

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...

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

Oct 28, 2022

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

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

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...

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...

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