Revisiting Hybrid Input Devices for Immersive Analytics

dc.contributor.authorHubenschmid, Sebastian
dc.contributor.authorZagermann, Johannes
dc.contributor.authorElmqvist, Niklas
dc.contributor.authorFeuchtner, Tiare
dc.contributor.authorGrubert, Jens
dc.contributor.authorTatzgern, Markus
dc.contributor.authorSchmalstieg, Dieter
dc.contributor.authorReiterer, Harald
dc.date.accessioned2026-02-12T10:52:09Z
dc.date.available2026-02-12T10:52:09Z
dc.date.issued2025-11-02
dc.description.abstractHybrid user interfaces offer a promising framework for analysts to leverage the strengths of heterogeneous environments, such as desktops and mixed reality, and transition fluidly between them. Especially for immersive analytics, which often blends 3D interaction spaces with traditional 2D workflows, such hybrid user interfaces can reduce cognitive workload and improve user experience. Prior work has combined desktop-based statistical analysis with an insitu exploration of spatiotemporal data in mixed reality. However, switching between devices and input modalities in such combinations can disrupt users’ flow. We revisit the concept of hybrid input devices that operate seamlessly across 2D and 3D contexts by leveraging the complementary strengths of heterogeneous input devices. We thereby propose a hypothetical hybrid input device that combines input from a mouse and a spatial controller, for which we present potential interaction techniques and discuss potential opportunities and challenges for immersive analytics.
dc.description.versionpublisheddeu
dc.identifier.doi10.1109/hfia68651.2025.00011
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/76179
dc.language.isoeng
dc.subject.ddc004
dc.titleRevisiting Hybrid Input Devices for Immersive Analyticseng
dc.typeINPROCEEDINGS
dspace.entity.typePublication
kops.citation.bibtex
@inproceedings{Hubenschmid2025-11-02Revis-76179,
  title={Revisiting Hybrid Input Devices for Immersive Analytics},
  year={2025},
  doi={10.1109/hfia68651.2025.00011},
  isbn={979-8-3315-7827-5},
  address={Piscataway, NJ},
  publisher={IEEE},
  booktitle={2025 IEEE Conference on Human Factors in Immersive Analytics (HFIA)},
  pages={29--33},
  author={Hubenschmid, Sebastian and Zagermann, Johannes and Elmqvist, Niklas and Feuchtner, Tiare and Grubert, Jens and Tatzgern, Markus and Schmalstieg, Dieter and Reiterer, Harald}
}
kops.citation.iso690HUBENSCHMID, Sebastian, Johannes ZAGERMANN, Niklas ELMQVIST, Tiare FEUCHTNER, Jens GRUBERT, Markus TATZGERN, Dieter SCHMALSTIEG, Harald REITERER, 2025. Revisiting Hybrid Input Devices for Immersive Analytics. 2025 IEEE Conference on Human Factors in Immersive Analytics (HFIA). Vienna, Austria, 2. Nov. 2025 - 3. Nov. 2025. In: 2025 IEEE Conference on Human Factors in Immersive Analytics (HFIA). Piscataway, NJ: IEEE, 2025, S. 29-33. ISBN 979-8-3315-7827-5. Verfügbar unter: doi: 10.1109/hfia68651.2025.00011deu
kops.citation.iso690HUBENSCHMID, Sebastian, Johannes ZAGERMANN, Niklas ELMQVIST, Tiare FEUCHTNER, Jens GRUBERT, Markus TATZGERN, Dieter SCHMALSTIEG, Harald REITERER, 2025. Revisiting Hybrid Input Devices for Immersive Analytics. 2025 IEEE Conference on Human Factors in Immersive Analytics (HFIA). Vienna, Austria, Nov 2, 2025 - Nov 3, 2025. In: 2025 IEEE Conference on Human Factors in Immersive Analytics (HFIA). Piscataway, NJ: IEEE, 2025, pp. 29-33. ISBN 979-8-3315-7827-5. Available under: doi: 10.1109/hfia68651.2025.00011eng
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