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

Version 3.0
Garkov, Dimitar; Piselli, Tommaso; Di Giacomo, Emilio; Klein, Karsten; Liotta, Giuseppe; Montecchiani, Fabrizio; Schreiber, Falk, 2024, "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis - Replication data", https://doi.org/10.18419/DARUS-4231, DaRUS, V3
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Description
This dataset contains the supplementary materials to our publication "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis", where we report on a study we conducted. Please refer to publication for more details, also the abstract can be found at the end of this description. The dataset contains:
  1. The collection of graphs with layout used in the study
  2. The final, randomized experiment files used in the study
  3. The source code of the study prototype
  4. The collected, anonymized data in tabular form
  5. The code for the statistical analysis
  6. The Supplemental Materials PDF
  7. The documents used in the study procedure (English, Italian, German)
Paper abstract: Problem solving is a composite cognitive process, invoking a number of cognitive mechanisms, such as perception and memory. Individuals may form collectives to solve a given problem together in collaboration, especially when complexity is perceived to be high. To determine if and when collaborative problem solving is desired in the context of visual graph analysis, we compare ad hoc pairs to individuals and nominal pairs, when solving different tasks in mixed reality. We discuss the results of an experiment with 72 participants performed in two countries and three languages. We apply the concept of task instance complexity to quantify the visual demand of tasks used in the experiment. Our results show the importance of using nominal groups as a benchmark for evaluating collaborative virtual environments. We conclude that 3D graph representation is not sufficient to induce better collaborative results compared to the benchmark. (2026)
Subject Computer and Information Science
Keyword Collaboration, Group Problem Solving, Network Visualization, Mixed Reality
Related Publication Is Supplement To: Dimitar Garkov, Tommaso Piselli, Emilio Di Giacomo, Karsten Klein, Giuseppe Liotta, Fabrizio Montecchiani, and Falk Schreiber, "Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis," in IEEE Transactions on Visualization and Computer Graphics.doi: 10.1109/TVCG.2026.3671472
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1 to 7 of 7 Files
1. Graphs.zip
ZIP Archive - 49.2 MB
Published Oct 6, 2025
10 Downloads
MD5: 59f0d86abab8398468a0d7c614e85a0f
Please note the ReadME file in the ZIP
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2. Experimentfiles.zip
ZIP Archive - 39.4 KB
Published Dec 19, 2024
11 Downloads
MD5: 53833802fdfa9dbb13956311ee09c3a5
Licensed under CC BY 4.0
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3. Study prototype.zip
ZIP Archive - 2.6 GB
Published Dec 19, 2024
4 Downloads
MD5: 32a4d766e25e100ede1230e1e83c20f7
Source code of the software prototype. For instructions, please see 1) the ReadME, and 2) the Unity scene "Server", component "Network Server". License is GPL-3.0
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4. Collected Data.zip
ZIP Archive - 80.1 KB
Published Oct 6, 2025
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MD5: 24a64a985653603a0fac46cd3b21be44
Accuracy, completion time, weighted NASA TLX ratings, demographics and prior experience, and task instance complexity data
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5. Statistical Analysis.zip
ZIP Archive - 37.3 KB
Published Feb 25, 2026
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MD5: 2ea9544e139326daf5cf5756f2a1aa9d
License: GPL-3.0; Language: R.
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6. Supplemental Materials.pdf
Adobe PDF - 4.5 MB
Published Feb 25, 2026
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MD5: a40876b9cb9eb67f3f9357ae7422b44d
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7. Documents.zip
ZIP Archive - 6.1 MB
Published Oct 6, 2025
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MD5: 8725dc23d47682a365dbd4c98a03d494
Documents used in the study procedure, in English, Italian, and German language.
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1. Graphs.zip is licensed under the CC BY 4.0 license.
2. Experimentfiles.zip is licensed under the CC BY 4.0 license.
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4. Collected data.zip is licensed under the CC BY 4.0 license.
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Curation Status History
StatusDateAssigner
2026-03-11 14:08:25Florian Fritze
In Review by FoKUS2026-03-09 22:42:37Dorothea Iglezakis
2026-02-25 07:42:05Dimitar Garkov
In Review by FoKUS2026-02-23 09:18:07Dorothea Iglezakis
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