Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis
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arXiv
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| Main Authors: | , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866911499418599424 |
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| author | Garkov, Dimitar Piselli, Tommaso Di Giacomo, Emilio Klein, Karsten Liotta, Giuseppe Montecchiani, Fabrizio Schreiber, Falk |
| author_facet | Garkov, Dimitar Piselli, Tommaso Di Giacomo, Emilio Klein, Karsten Liotta, Giuseppe Montecchiani, Fabrizio Schreiber, Falk |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_14776 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis Garkov, Dimitar Piselli, Tommaso Di Giacomo, Emilio Klein, Karsten Liotta, Giuseppe Montecchiani, Fabrizio Schreiber, Falk Human-Computer Interaction Emerging Technologies Graphics 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. |
| title | Collaborative Problem Solving in Mixed Reality: A Study on Visual Graph Analysis |
| topic | Human-Computer Interaction Emerging Technologies Graphics |
| url | https://arxiv.org/abs/2412.14776 |