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.

翻译：在医学领域研究新型用户体验具有挑战性，主要受限于设备获取困难及严格的伦理审查流程。扩展现实（XR）仿真技术为开发交互系统提供了一种成本与时间高效的解决方案。近期研究表明扩展现实原型设计（XRP）具有巨大潜力，但其在控制复杂机械等特定领域的适用性仍需深入探索。本文探讨了XRP在操控移动医疗成像机器人方面的优势与局限。我们比较了两种XR可视化技术，旨在降低用户输入与机器人响应之间的感知延迟。我们的XRP验证研究证明了其在对比研究中的潜力，同时揭示了现有分析型XRP验证框架在人类行为建模方面的不足。