Publikation:

Extending the Fishing Reel – Improving Multiple Object Selection in VR Using Transparency and a Resizable Pointer

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Datum

2026

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Deutsche Forschungsgemeinschaft (DFG): 251654672

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Beitrag zu einem Konferenzband
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Accepted

Wird erscheinen in

1st International Conference on Human-Computer In- teraction in the Alps : AlpCHI 2026. New York: ACM, 2026. Verfügbar unter: doi: 10.1145/3780045.3780046

Zusammenfassung

One of the key challenges in distant object selection in virtual environments (VE) is 'target occlusion.' This paper presents a novel approach to overcome this issue when selecting multiple (occluded) objects at a distance in VR. We extend the well-known 'fishing reel' metaphor, adding transparency within the selection area and allowing manipulation of its size. In a user study (n = 30, within-subject design), we investigate two transparency concepts ('layer' vs. 'flashlight') and compare their efficiency against no transparency. Our results indicate that our transparency approach reduces physical demand and the need for adjusting one's position in space. They also show that density of objects in the VE influences performance, indicating that our method provides a greater benefit in dense settings. We demonstrate our technique by visualizing geo-tagged Flickr photos on a 3D alpine map, where users can select individual images from dense clusters to view in a floating gallery.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

virtual reality, multiple object selection, lab study, user study

Konferenz

AlpCHI 2026 : 1st International Conference on Human-Computer In- teraction in the Alps, 1. März 2026 - 5. März 2026, Ascona, Switzerland
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ISO 690WIELAND, Jonathan, Samar ABED, Anke V. REINSCHLUESSEL, Johannes ZAGERMANN, Harald REITERER, Tiare FEUCHTNER, 2026. Extending the Fishing Reel – Improving Multiple Object Selection in VR Using Transparency and a Resizable Pointer. AlpCHI 2026 : 1st International Conference on Human-Computer In- teraction in the Alps. Ascona, Switzerland, 1. März 2026 - 5. März 2026. In: 1st International Conference on Human-Computer In- teraction in the Alps : AlpCHI 2026. New York: ACM, 2026. Verfügbar unter: doi: 10.1145/3780045.3780046
BibTex
@inproceedings{Wieland2026-03Exten-75849,
  title={Extending the Fishing Reel – Improving Multiple Object Selection in VR Using Transparency and a Resizable Pointer},
  year={2026},
  doi={10.1145/3780045.3780046},
  address={New York},
  publisher={ACM},
  booktitle={1st International Conference on Human-Computer In-
teraction in the Alps : AlpCHI 2026},
  author={Wieland, Jonathan and Abed, Samar and Reinschluessel, Anke V. and Zagermann, Johannes and Reiterer, Harald and Feuchtner, Tiare}
}
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    <dcterms:abstract>One of the key challenges in distant object selection in virtual environments (VE) is 'target occlusion.' This paper presents a novel approach to overcome this issue when selecting multiple (occluded) objects at a distance in VR. We extend the well-known 'fishing reel' metaphor, adding transparency within the selection area and allowing manipulation of its size. In a user study (n = 30, within-subject design), we investigate two transparency concepts ('layer' vs. 'flashlight') and compare their efficiency against no transparency. Our results indicate that our transparency approach reduces physical demand and the need for adjusting one's position in space. They also show that density of objects in the VE influences performance, indicating that our method provides a greater benefit in dense settings. We demonstrate our technique by visualizing geo-tagged Flickr photos on a 3D alpine map, where users can select individual images from dense clusters to view in a floating gallery.</dcterms:abstract>
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Interner Vermerk

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