51 to 57 of 57 Results
Jun 9, 2022 - SFB-TRR 161 B01 "Adaptive Self-Consistent Visualization"
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, Tobias Schreck, and Daniel Weiskopf. |
May 20, 2022 - SFB-TRR 161 INF "Collaboration Infrastructure"
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 and replicability in the context of TF-A. Coordinate efforts on research... |
May 2, 2022 - SFB-TRR 161 C06 "User-Adaptive Mixed Reality"
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 users to recognize vehicle automation failures and intervene if necessary... |
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 investigated the usability of the adaptive system in a simulated social... |
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 participants respected the agents’ PS (Personal Space) and modulated interpers... |
Jul 8, 2020 - SFB-TRR 161 INF "Collaboration Infrastructure"
Müller, Christoph, 2020, "SFB/Transregio 161 Data Management Plan 2019-2023", https://doi.org/10.18419/DARUS-632, DaRUS, V1
The participating universities in SFB/Transregio 161 acknowledge the general importance of research data management as a vital issue for all of their work and provide increasing central support for long-term accessibility and reusability of data, documentation of methods and tools and privacy protection. However, technical and organisational offeri... |
May 28, 2020 - SFB-TRR 161 A02 "Quantifying Visual Computing Systems"
Bruder, Valentin; Müller, Christoph; Frey, Steffen; Ertl, Thomas, 2020, "Runtime performance measurements of interactive visualisation algorithms", https://doi.org/10.18419/DARUS-810, DaRUS, V1
Runtime performance measurements for GPU-based direct volume rendering and GPU-based raycasting of spherical particles on ten different discrete graphics processing units from AMD and NVIDIA. The data set at hand systematically evaluates typical factors influencing performance of interactive visualisations like view-port size, data set size, camera... |
