XR Prototyping of Mixed Reality Visualizations: Compensating Interaction Latency for a Medical Imaging Robot

Researching novel user experiences in medicine is challenging due to limited access to equipment and strict ethical protocols. Extended Reality (XR) simulation technologies offer a cost-and time-efficient solution for developing interactive systems. Recent work has shown Extended Reality Prototyping (XRP)’s potential, but its applicability to specific domains like controlling complex machinery needs further exploration. This paper explores the benefits and limitations of XRP in controlling a mobile medical imaging robot. We compare two XR visualization techniques to reduce perceived latency between user input and robot activation. Our XRP validation study demonstrates its potential for comparative studies, but identifies a gap in modeling human behavior in the analytic XRP validation framework.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/ismar62088.2024.00014
Citations
4
Primary Topic
Virtual Reality Applications and Impacts
Type
article
Field-Weighted Citation Impact
1.49
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article

XR Prototyping of Mixed Reality Visualizations: Compensating Interaction Latency for a Medical Imaging Robot

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4 citations
Virtual Reality Applications and Impacts
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article

XR Prototyping of Mixed Reality Visualizations: Compensating Interaction Latency for a Medical Imaging Robot

Jan Hendrik Plümer, Kevin Yu, Denis Kalkofen, Ulrich Eck, Phil Steininger, Nassir Navab, Markus Tatzgern
article en
4 citations

Abstract

Researching novel user experiences in medicine is challenging due to limited access to equipment and strict ethical protocols. Extended Reality (XR) simulation technologies offer a cost-and time-efficient solution for developing interactive systems. Recent work has shown Extended Reality Prototyping (XRP)’s potential, but its applicability to specific domains like controlling complex machinery needs further exploration. This paper explores the benefits and limitations of XRP in controlling a mobile medical imaging robot. We compare two XR visualization techniques to reduce perceived latency between user input and robot activation. Our XRP validation study demonstrates its potential for comparative studies, but identifies a gap in modeling human behavior in the analytic XRP validation framework.

Flinders University (AU), Graz University of Technology (AT), Fachhochschule Salzburg (AT), Technical University of Munich (DE)
Openalex Percentile: Top 16%
Virtual Reality Applications and Impacts
1.49
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