SFB/Transregio 161 "Quantitative Methods for Visual Computing"

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151 to 160 of 3,690 Results

6. Supplemental Materials.pdf Dec 19, 2024 - Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data Adobe PDF - 10.2 MB - MD5: c5f2153365b1dd578d94047f7d95568c
SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) Nov 22, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations" Wang, Yao, 2024, "SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)", https://doi.org/10.18419/DARUS-3884, DaRUS, V2 Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap, we introduce SalChartQA - a novel crowd-sourced dataset that uses the BubbleView interface as a proxy for human gaze and a q...
SalChartQA-npy.zip Nov 22, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data) ZIP Archive - 730.9 MB - MD5: aecb5a6a4029bcadb4fe1b0ff78a6345 npy files for dataloader
Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR Oct 25, 2024 - SFB-TRR 161 A08 "A Learning-Based Research Methodology for Visualization" Angerbauer, Katrin; Van Wagoner, Phoenix; Halach, Tim; Vogelsang, Jonas; Hube, Natalie; Smith, Andria Lenae; Keplinger, Ksenia; Sedlmair, Michael, 2024, "Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR", https://doi.org/10.18419/DARUS-4426, DaRUS, V1 Supplemental Material for the paper titled: " Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR" accepted for presentation at the ASSETS'24 conference. The structure of the folder is as following: . └── avatars \|── base avatars # base avatars generated with ReadyPlayer...
supplementary_material.zip Oct 25, 2024 - Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR ZIP Archive - 168.8 MB - MD5: 9000eb3f2b1efd68115755dd45232f33 see readme.md for a detailed description.
Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory" Sep 16, 2024 - SFB-TRR 161 C06 "User-Adaptive Mixed Reality" Chiossi, Francesco; Haliburton, Luke; Ou, Changkun; Butz, Andreas; Schmidt, Albrecht, 2024, "Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"", https://doi.org/10.18419/DARUS-3327, DaRUS, V1, UNF:6:7FzpUkbNmyXLFXVYJ8abKQ== [fileUNF] Social media platforms use short, highly engaging videos to catch users’ attention. While the short-form video feeds popularized by TikTok are rapidly spreading to other platforms, we do not yet understand their impact on cognitive functions. We conducted a between-subjects experiment (𝑁 = 60) investigating the impact of engaging with TikTok, Twit...
1.1.response_accuracy.ipynb Sep 16, 2024 - Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory" Jupyter Notebook - 15.4 KB - MD5: 7fabb9319b6331a66ac023fd66b87ed2
1.2.response_accuracy_lmm.ipynb Sep 16, 2024 - Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory" Jupyter Notebook - 125.1 KB - MD5: c5f784482718d803f744cc0f4a2a0fea
2.response_accuracy_vis.ipynb Sep 16, 2024 - Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory" Jupyter Notebook - 164.8 KB - MD5: de93e7471898d01fe53eb609b9e6d19a
3.ddm_anova.ipynb Sep 16, 2024 - Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory" Jupyter Notebook - 62.0 KB - MD5: 477d1a67401e078a1182ab06d38ca2af

6. Supplemental Materials.pdf

Dec 19, 2024 - Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data

Adobe PDF - 10.2 MB -

SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

Nov 22, 2024 - SFB-TRR 161 A07 "Visual Attention Modeling for Optimization of Information Visualizations"

Wang, Yao, 2024, "SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)", https://doi.org/10.18419/DARUS-3884, DaRUS, V2

Understanding the link between visual attention and user’s needs when visually exploring information visualisations is under-explored due to a lack of large and diverse datasets to facilitate these analyses. To fill this gap, we introduce SalChartQA - a novel crowd-sourced dataset that uses the BubbleView interface as a proxy for human gaze and a q...

SalChartQA-npy.zip

Nov 22, 2024 - SalChartQA: Question-driven Saliency on Information Visualisations (Dataset and Reproduction Data)

ZIP Archive - 730.9 MB -

npy files for dataloader

Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR

Oct 25, 2024 - SFB-TRR 161 A08 "A Learning-Based Research Methodology for Visualization"

Angerbauer, Katrin; Van Wagoner, Phoenix; Halach, Tim; Vogelsang, Jonas; Hube, Natalie; Smith, Andria Lenae; Keplinger, Ksenia; Sedlmair, Michael, 2024, "Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR", https://doi.org/10.18419/DARUS-4426, DaRUS, V1

Supplemental Material for the paper titled: " Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR" accepted for presentation at the ASSETS'24 conference. The structure of the folder is as following: . └── avatars |── base avatars # base avatars generated with ReadyPlayer...

supplementary_material.zip

Oct 25, 2024 - Supplemental Material for the Paper: Is it Part of Me? Exploring Experiences of Inclusive Avatar Use For Visible and Invisible Disabilities in Social VR

ZIP Archive - 168.8 MB -

see readme.md for a detailed description.

Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"

Sep 16, 2024 - SFB-TRR 161 C06 "User-Adaptive Mixed Reality"

Chiossi, Francesco; Haliburton, Luke; Ou, Changkun; Butz, Andreas; Schmidt, Albrecht, 2024, "Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"", https://doi.org/10.18419/DARUS-3327, DaRUS, V1, UNF:6:7FzpUkbNmyXLFXVYJ8abKQ== [fileUNF]

Social media platforms use short, highly engaging videos to catch users’ attention. While the short-form video feeds popularized by TikTok are rapidly spreading to other platforms, we do not yet understand their impact on cognitive functions. We conducted a between-subjects experiment (𝑁 = 60) investigating the impact of engaging with TikTok, Twit...

1.1.response_accuracy.ipynb

Sep 16, 2024 - Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"

Jupyter Notebook - 15.4 KB -

1.2.response_accuracy_lmm.ipynb

Sep 16, 2024 - Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"

Jupyter Notebook - 125.1 KB -

2.response_accuracy_vis.ipynb

Sep 16, 2024 - Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"

Jupyter Notebook - 164.8 KB -

3.ddm_anova.ipynb

Sep 16, 2024 - Dataset for "Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory"

Jupyter Notebook - 62.0 KB -

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