Magnifying Augmented Mirrors for Accurate Alignment Tasks

Kern, Vanessa; Kleinbeck, Constantin; Yu, Kevin; Martin-Gomez, Alejandro; Winkler, Alexander; Navab, Nassir und Roth, Daniel (2023): Magnifying Augmented Mirrors for Accurate Alignment Tasks. 30th IEEE Conference Virtual Reality and 3D User Interfaces (IEEE VR), Shanghai, China, 25.- 29. März 2023. Institute of Electrical and Electronics Engineers (Hrsg.), In: 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Piscataway: IEEE. S. 685-686

Abstract

Limited mobility in augmented reality applications restricts spatial understanding along with augmentation placement and visibility. Systems can counteract by providing perspectives by tracking and augmenting mirrors without requiring user movement. However, the decreased visual size of mirrored objects reduces accuracy for precision tasks. We propose Magnifying Augmented Mirrors: digitally zoomed mirror images mapped back onto their surface, producing magnified reflections. In a user study (N=14) conducted in virtual reality, we evaluated our method on a precision alignment task. Al-though participants needed time for acclimatization, they achieved the most accurate results using a magnified mirror.

• Dokumententyp: Konferenzbeitrag (Paper)
• Fakultät: Medizin > Klinikum der LMU München > Klinik für Allgemeine, Viszeral-, Gefäß- und Transplantationschirurgie
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik ; 600 Technik, Medizin, angewandte Wissenschaften > 600 Technik ; 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit
• ISBN: 979-8-3503-4839-2 ; 979-8-3503-4840-8
• Ort: Piscataway
• Sprache: Englisch