Automatic Generation of Web-Based User Studies to Evaluate Depth Perception in Vascular Surface Visualizations (Unknown language)

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User studies are often required in biomedical visualization application papers in order to provide evidence for the utility of the presented approach. An important aspect is how well depth information can be perceived, as depth encoding is important to enable an understandable representation of complex data. Unfortunately, in practice there is often little time available to perform such studies, and setting up and conducting user studies may be labor-intensive. In addition, it can be challenging to reach enough participants to support the contribution claims of the paper. In this paper, we propose a system that allows biomedical visualization researchers to quickly generate perceptual task-based user studies for novel surface visualizations, and to perform the resulting experiment via a web interface. This approach helps to reduce effort in the setup of user studies themselves, and at the same time leverages a web-based approach that can help researchers attract more participants to their study. We demonstrate our system using the specific application of depth judgment tasks to evaluate vascular surface visualizations, since there is a lot of recent interest in this area. However, the system is also generally applicable for conducting other task-based user studies in biomedical visualization.

Table of contents conference proceedings

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1
Ultrasound Decompression for Large Field-of-View Reconstructions
Schulte zu Berge, Christian / Salehi, Mehrdad / Bender, Frederik / Wein, Wolfgang | 2018
11
ICG based Augmented-Reality-System for Sentinel Lymph Node Biopsy
Noll, Matthias / Noa-Rudolph, Werner / Wesarg, Stefan / Kraly, Michael / Stoffels, Ingo / Klode, Joachim / Spass, Cédric / Spass, Gerrit | 2018
17
A Prototype Holographic Augmented Reality Interface for Image-Guided Prostate Cancer Interventions
Morales Mojica, Cristina M. / Velazco Garcia, Jose D. / Navkar, Nikhil V. / Balakrishnan, Shidin / Abinahed, Julien / El Ansari, Walid / Al-Rumaihi, Khalid / Darweesh, Adham / Al-Ansari, Abdulla / Gharib, Mohamed et al. | 2018
23
Visual Analytics in Histopathology Diagnostics: a Protocol-Based Approach
Corvò, Alberto / Westenberg, Michel A. / Driel, Marc A. van / Wijk, Jarke J.van | 2018
33
Automatic Generation of Web-Based User Studies to Evaluate Depth Perception in Vascular Surface Visualizations
Meuschke, Monique / Smit, Noeska N. / Lichtenberg, Nils / Preim, Bernhard / Lawonn, Kai | 2018
45
A Critical Analysis of the Evaluation Practice in Medical Visualization
Preim, Bernhard / Ropinski, Timo / Isenberg, Petra | 2018
57
Annotated Dendrograms for Neurons From the Larval Fruit Fly Brain
Strauch, Martin / Hartenstein, Volker / Andrade, Ingrid V. / Cardona, Albert / Merhof, Dorit | 2018
67
A Multilinear Model for Bidirectional Craniofacial Reconstruction
Achenbach, Jascha / Brylka, Robert / Gietzen, Thomas / Hebel, Katja zum / Schömer, Elmar / Schulze, Ralf / Botsch, Mario / Schwanecke, Ulrich | 2018
77
Iterative Exploration of Big Brain Network Data
Ganglberger, Florian / Swoboda, Nicolas / Frauenstein, Lisa / Kaczanowska, Joanna / Haubensak, Wulf / Bühler, Katja | 2018
89
Progressive and Efficient Multi-Resolution Representations for Brain Tractograms
Mercier, Corentin / Gori, Pietro / Rohmer, Damien / Cani, Marie-Paule / Boubekeur, Tamy / Thiery, Jean-Marc / Bloch, Isabelle | 2018
95
Visual Analysis of Evolution of EEG Coherence Networks employing Temporal Multidimensional Scaling
Ji, Chengtao / Maurits, Natasha M. / Roerdink, Jos B. T. M. | 2018
101
Introducing CNN-Based Mouse Grim Scale Analysis for Fully Automated Image-Based Assessment of Distress in Laboratory Mice
Kopaczka, Marcin / Ernst, Lisa / Schock, Justus / Schneuing, Arne / Guth, Alexander / Tolba, Rene / Merhof, Dorit | 2018
107
Uncertainty-Guided Semi-Automated Editing of CNN-based Retinal Layer Segmentations in Optical Coherence Tomography
Zadeh, Shekoufeh Gorgi / Wintergerst, Maximilian W. M. / Schultz, Thomas | 2018
117
A Framework for Visual Comparison of 4D PC-MRI Aortic Blood Flow Data
Behrendt, Benjamin / Ebel, Sebastian / Gutberlet, Matthias / Preim, Bernhard | 2018
123
A New Vessel Enhancement Transform on Retinal Blood Vessels Segmentation
Soares, Ivo / Castelo-Branco, Miguel / Pinheiro, António M. G. | 2018
129
Visual Assessment of Vascular Torsion using Ellipse Fitting
Mistelbauer, Gabriel / Zettwitz, Martin / Schernthaner, Rüdiger / Fleischmann, Dominik / Teutsch, Christian / Preim, Bernhard | 2018
135
Visual Analysis of Regional Anomalies in Myocardial Motion
Sheharyar, Ali / Ruh, Alexander / Aristova, Maria / Scott, Michael / Jarvis, Kelly / Elbaz, Mohammed / Dolan, Ryan / Schnell, Susanne / Lin, Kal / Carr, James et al. | 2018
145
Parameterization and Feature Extraction for the Visualization of Tree-like Structures
Lichtenberg, Nils / Lawonn, Kai | 2018
157
Estimation of Muscle Activity in One-Leg Stance from 3D Surface Deformation
Metzler, Johannes / Neumann, Thomas / Gassel, Stefanie / Friedrich, Jens / Wacker, Markus | 2018
167
VisualFlatter - Visual Analysis of Distortions in the Projection of Biomedical Structures
Grossmann, Nicolas / Köppel, Thomas / Gröller, Eduard / Raidou, Renata Georgia | 2018
179
Global and Local Mesh Morphing for Complex Biological Objects from µCT Data
Knötel, David / Becker, Carola / Scholtz, Gerhard / Baum, Daniel | 2018
185
Improving Perception of Molecular Surface Visualizations by Incorporating Translucency Effects
Hermosilla, Pedro / Maisch, Sebastian / Vázquez, Pere-Pau / Ropinski, Timo | 2018
197
Semantic Screen-Space Occlusion for Multiscale Molecular Visualization
Koch, Thomas Bernhard / Kouril, David / Klein, Tobias / Mindek, Peter / Viola, Ivan | 2018
203
Visual Exploratory Analysis for Multiple T-Maze Studies
Bechtold, Fabrizia / Splechtna, Rainer / Matkovic, Kresimir | 2018