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Exploring the Influence of Object Shapes and Colors on Depth Perception in Virtual Reality for Minimally Invasive Neurosurgical Training
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Computational Science and Technology (CST).ORCID iD: 0000-0001-5634-8960
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.ORCID iD: 0000-0002-8543-3774
KTH, School of Electrical Engineering and Computer Science (EECS).
KTH, School of Electrical Engineering and Computer Science (EECS).ORCID iD: 0009-0004-9475-8425
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2024 (English)In: CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems, Association for Computing Machinery , 2024, article id 154Conference paper, Published paper (Refereed)
Abstract [en]

Minimally invasive neurosurgery (MIS) involves inserting a medical instrument, e.g., a catheter, through a small incision to target an area inside the patient's body. Training surgeons to perform MIS is challenging since the surgical site is not directly visible from their perspective. In this paper, we conducted two pilot studies focused on object shapes and colors to collect preliminary results on their influence on depth perception for MIS in Virtual Reality. In the first study (N = 8), participants inserted a virtual catheter into objects of different shapes. In the second study (N = 5), they observed the insertion of a virtual catheter into objects of different colors and backgrounds under different lighting conditions. We found that participants' precision decreased with distance and was lower with the skull shape than with a cube. Moreover, depth perception was higher with blue backgrounds under better lighting conditions.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2024. article id 154
Keywords [en]
depth perception, minimally invasive neurosurgery, virtual reality
National Category
Neurology
Identifiers
URN: urn:nbn:se:kth:diva-347323DOI: 10.1145/3613905.3650813Scopus ID: 2-s2.0-85194135109OAI: oai:DiVA.org:kth-347323DiVA, id: diva2:1867256
Conference
2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024, Hybrid, Honolulu, United States of America, May 11 2024 - May 16 2024
Note

QC 20240613

Part of ISBN 979-840070331-7

Available from: 2024-06-10 Created: 2024-06-10 Last updated: 2024-06-13Bibliographically approved

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Iop, AlessandroViberg, OlgaFrancis, KristiNorström, VilhelmWallin, LinusRomero, MarioMatviienko, Andrii

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Iop, AlessandroViberg, OlgaFrancis, KristiNorström, VilhelmMattias Persson, DavidWallin, LinusRomero, MarioMatviienko, Andrii
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Computational Science and Technology (CST)Media Technology and Interaction Design, MIDSchool of Electrical Engineering and Computer Science (EECS)KTH
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