Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces
| dc.contributor.author | Zagermann, Johannes | |
| dc.contributor.author | Hubenschmid, Sebastian | |
| dc.contributor.author | Fink, Daniel I. | |
| dc.contributor.author | Wieland, Jonathan | |
| dc.contributor.author | Reiterer, Harald | |
| dc.contributor.author | Feuchtner, Tiare | |
| dc.date.accessioned | 2023-12-06T15:18:13Z | |
| dc.date.available | 2023-12-06T15:18:13Z | |
| dc.date.issued | 2023-10-16 | |
| dc.description.abstract | Over the past years, we have seen an increase in the number of user studies involving mixed reality interfaces. As these environments usually exceed standardized user study settings that only measure time and error, we developed, designed, and evaluated a mixed- immersion evaluation framework called RELIVE. Its combination of in-situ and ex-situ analysis approaches allows for the holistic and malleable analysis and exploration of mixed reality user study data of an individual analyst in a step-by-step approach that we previously described as an asynchronous hybrid user interface. Yet, collaboration was coined as a key aspect for visual and immersive analytics – potentially allowing multiple analysts to synchronously explore mixed reality user study data from different but complemen- tary angles of evaluation using hybrid user interfaces. This leads to a variety of fundamental challenges and opportunities for research and design of hybrid user interfaces regarding e.g., allocation of tasks, the interplay between views, user representations, and collaborative coupling that are outlined in this position paper. | |
| dc.description.version | published | deu |
| dc.identifier.doi | 10.1109/ismar-adjunct60411.2023.00044 | |
| dc.identifier.uri | https://kops.uni-konstanz.de/handle/123456789/68608 | |
| dc.language.iso | eng | |
| dc.rights | terms-of-use | |
| dc.rights.uri | https://rightsstatements.org/page/InC/1.0/ | |
| dc.subject.ddc | 004 | |
| dc.title | Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces | eng |
| dc.type | INPROCEEDINGS | |
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| kops.citation.bibtex | @inproceedings{Zagermann2023-10-16Chall-68608,
year={2023},
doi={10.1109/ismar-adjunct60411.2023.00044},
title={Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces},
isbn={979-8-3503-2891-2},
publisher={IEEE},
address={Piscataway, NJ},
booktitle={2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)},
pages={191--195},
author={Zagermann, Johannes and Hubenschmid, Sebastian and Fink, Daniel I. and Wieland, Jonathan and Reiterer, Harald and Feuchtner, Tiare}
} | |
| kops.citation.iso690 | ZAGERMANN, Johannes, Sebastian HUBENSCHMID, Daniel I. FINK, Jonathan WIELAND, Harald REITERER, Tiare FEUCHTNER, 2023. Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces. 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Sydney, Australia, 16. Okt. 2023 - 20. Okt. 2023. In: 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Piscataway, NJ: IEEE, 2023, pp. 191-195. ISBN 979-8-3503-2891-2. Available under: doi: 10.1109/ismar-adjunct60411.2023.00044 | deu |
| kops.citation.iso690 | ZAGERMANN, Johannes, Sebastian HUBENSCHMID, Daniel I. FINK, Jonathan WIELAND, Harald REITERER, Tiare FEUCHTNER, 2023. Challenges and Opportunities for Collaborative Immersive Analytics with Hybrid User Interfaces. 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Sydney, Australia, Oct 16, 2023 - Oct 20, 2023. In: 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Piscataway, NJ: IEEE, 2023, pp. 191-195. ISBN 979-8-3503-2891-2. Available under: doi: 10.1109/ismar-adjunct60411.2023.00044 | eng |
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| kops.sourcefield.plain | 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct). Piscataway, NJ: IEEE, 2023, pp. 191-195. ISBN 979-8-3503-2891-2. Available under: doi: 10.1109/ismar-adjunct60411.2023.00044 | eng |
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