外部引导多尺度视角变化的过渡技术
Transition Techniques for Externally-Guided Multi-Scale Viewpoint Changes
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中文总结 AI 辅助
本文针对外部引导多尺度XR视角过渡易致用户定向障碍的问题，提出三种过渡技术，经被试内研究验证，外化参考框架与用户姿态的技术可提升多尺度空间回忆，为相关设计提供启示。
中文摘要 AI 辅助
扩展现实（XR）日益用于通过不同沉浸水平、位置和尺度的多个视角帮助用户理解复杂虚拟环境。虽有大量技术解决自主探索的视角过渡，但许多场景需要系统或演示者控制用户视角的外部引导过渡，这会使用户空间知识和过渡过程控制权受限，易导致定向障碍和不适。本文提出三种用于外部引导多尺度XR视角变化的过渡技术，并采用被试内研究（N=20）以渐隐至黑为基线对其评估。参与者在微型世界、街道级和室内目标视角间过渡，研究结合空间回忆测量、标准化问卷和半结构化访谈评估定向、工作量、舒适度和连续性。结果显示，在本研究设置中，外化参考框架和用户姿态的技术较渐隐技术提升了多尺度空间回忆，而同尺度回忆对过渡技术不敏感。最后得出多尺度XR视角过渡的设计启示。
英文摘要
Extended reality (XR) is increasingly used to help users understand complex virtual environments through multiple viewpoints across different immersion levels, positions, and scales. While numerous techniques address viewpoint transitions for self-guided exploration, many scenarios require externally-guided transitions where a system or presenter controls the user's viewpoint, leaving the user with limited spatial knowledge and control over the transition process, which can increase susceptibility to disorientation and discomfort. We present three transition techniques for externally-guided multi-scale XR viewpoint changes and evaluate them against a fade-to-black baseline in a within-subjects study (N=20). Participants transitioned between world-in-miniature, street-level, and indoor destination views. We combined spatial recall measures, standardized questionnaires, and semi-structured interviews to assess orientation, workload, comfort, and continuity. Results showed that in our setup, techniques externalizing reference frames and the user's pose improved multi-scale spatial recall relative to a fade, while same-scale recall was insensitive to transition technique. We conclude with design implications for multi-scale XR viewpoint transitions.
