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

TL;DR

This paper investigates the use of XR prototyping to improve interaction latency in controlling a medical imaging robot, highlighting its benefits for development and identifying areas for behavioral modeling improvements.

Contribution

It explores the application of XR prototyping in medical robotics, comparing visualization techniques to reduce latency and assessing its effectiveness for validation.

Findings

XR prototyping is effective for comparative studies in medical robotics.

Two visualization techniques differ in perceived latency.

Identifies a need for better human behavior modeling in XR validation.

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.