31 to 40 of 42 Results
Aug 8, 2022 - SFB-TRR 161 A01 "Uncertainty Quantification and Analysis in Visual Computing"
Hägele, David; Krake, Tim, 2022, "Source Code for Uncertainty-Aware Multidimensional Scaling", https://doi.org/10.18419/darus-2995, DaRUS, V1
This dataset contains the source code for the uncertainty-aware multidimensional scaling (UAMDS) algorithm implemented in the Java programming language. UAMDS is a nonlinear dimensionality reduction technique for sets of random vectors. The implemented UAMDS model allows to proje... |
Angerbauer, Katrin; Rodrigues, Nils; Cutura, Rene; Öney, Seyda; Pathmanathan, Nelusa; Morariu, Cristina; Weiskopf, Daniel; Sedlmair, Michael, 2022, "Supplemental Material for the paper : Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures", https://doi.org/10.18419/darus-2608, DaRUS, V1, UNF:6:uNArOgq9AXAmdvLcE/mMVA== [fileUNF]
Study data and supplemental material for the paper- Accessibility for Color Vision Deficiencies: Challenges and Findings of a Large Scale Study on Paper Figures presented at CHI 2022. We performed a large scale data study on the color vision deficiency (CVDs) accessibility of pap... |
Jun 30, 2022 - SFB-TRR 161 A03 "Quantification of Visual Analytics Transformations and Mappings"
Dennig, Frederik L., 2022, "Replication Data for: "ParSetgnostics: Quality Metrics for Parallel Sets"", https://doi.org/10.18419/darus-2869, DaRUS, V1, UNF:6:mmqXqGYXSM0L6g/xQCjGUg== [fileUNF]
This is the replication data for our research article "ParSetgnostics: Quality Metrics for Parallel Sets." It contains the datasets used to obtain optimized Parallel Sets visualizations. We used the following six datasets for our experiments, which we describe on a per-file basis... |
Jun 22, 2022 - Computer Vision
Schmalfuss, Jenny; Scheurer, Erik; Zhao, Heng; Karantzas, Nikolaos; Bruhn, Andrés; Labate, Demetrio, 2022, "Handwriting Inpainting Dataset", https://doi.org/10.18419/darus-2886, DaRUS, V1
The dataset contains binary handwriting masks, which are sampled from scanned pages. Based on the overlay size, the training and test datasets are divided into five size ranges: 0-5%, 5-10%, 10-15%, 15-20% and 20-25% of the image. |
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 pre... |
Yan, Jia Jun; Rodrigues, Nils; Shao, Lin; Schreck, Tobias; Weiskopf, Daniel, 2022, "Sample Implementation for the Paper "Eye Gaze on Scatterplot: Concept and First Results of Recommendations for Exploration of SPLOMs Using Implicit Data Selection"", https://doi.org/10.18419/darus-2810, DaRUS, V1
Java source code of proof-of-concept tool used for the paper "Eye Gaze on Scatterplot: Concept and First Results of Recommendations for Exploration of SPLOMs Using Implicit Data Selection". Code by M.Sc. student Jia Jun Yan. Supervision and concepts by Nils Rodrigues, Lin Shao, T... |
Garkov, Dimitar; Müller, Christoph; Klein, Karsten; Ertl, Thomas; Schreiber, Falk; Task-Force A, 2022, "Guidelines on Replication and Research Data Management", https://doi.org/10.18419/darus-2843, DaRUS, V1
This document summarises guidelines for reproducibility in SFB/Transregio 161 by Task Force A (TF-A). It builds upon the data management plan (version 1.0, 2020, https://doi.org/10.18419/darus-632) and focusses on three main points: Provide clear definitions of reproducibility an... |
Chiossi, Francesco; Villa, Steeven; Hauser, Melanie; Welsch, Robin; Chuang, Lewis, 2022, "Design of On-body Tactile Displays to Enhance Situation Awareness in Automated Vehicles", https://doi.org/10.18419/darus-2824, DaRUS, V1, UNF:6:YHhX4VFGLE0o6fVxJAlldw== [fileUNF]
Fatalities with semi-automated vehicles typically occur when users are engaged in non-driving related tasks (NDRTs) that compromise their situational awareness (SA). This work developed a tactile display for on-body notification to support situational awareness, thus enabling use... |
Apr 27, 2022 - SFB-TRR 161 C06 "User-Adaptive Mixed Reality"
Chiossi, Francesco; Welsch, Robin; Villa, Steeven; Chuang, Lewis; Mayer, Sven, 2022, "Virtual Reality Adaptation using Electrodermal Activity to Support User Experience", https://doi.org/10.18419/darus-2820, DaRUS, V1
We report an experiment (N=18) where participants where engaged in a dual task setting in a Social VR (Virtual Reality) scenario. We present a physiologically-adaptive system that optimizes the virtual environment based on physiological arousal, i.e., electrodermal activity. We i... |
Mar 8, 2022 - SFB-TRR 161 C06 "User-Adaptive Mixed Reality"
Huang, Ann; Knierim, Pascal; Chiossi, Francesco; Chuang, Lewis; Welsch, Robin, 2022, "Proxemics for Human-Agent Interaction in Augmented Reality", https://doi.org/10.18419/darus-2525, DaRUS, V1, UNF:6:gMC1ZC3kIcnTw0ymCcJbgQ== [fileUNF]
We report an experiment (N=54) where participants interacted with agents in an AR (Augmented Reality) art gallery scenario. When participants approached six virtual agents (i.e., two males, two females, a humanoid robot, and a pillar) to ask for directions, we found that particip... |
