发表机构
York University; Google, Inc.(约克大学; 谷歌公司)
机构由 AI 辅助整理,请以论文原文为准。AI 中文总结
本研究通过大规模多模态实验揭示视频穿透显示导致头部运动抑制和头眼解耦,提出“穿透刚性”概念,并证明其以舒适度和生物力学效率为代价维持任务表现,为XR设备改进提供定量框架。
AI 中文摘要
尽管市场投入巨大,使用视频穿透技术的头戴式显示器在公众中的广泛采用仍然难以实现。即使分辨率、延迟等硬件因素已大幅改善,用户为何仍持续感到不适,这一问题至今尚无精确解释。本文通过一项大规模多模态研究,探究通过视频穿透系统观察世界对人类行为与生理模式的影响。我们开发了一种新协议,在需要复杂手眼协调的积木组装任务中,同步采集眼动、运动学和生理数据。采用被试内设计(N=110),评估了自然观看与穿透观看两种条件。结果显示,旋转头部速度被抑制至四分之一,且头-眼协调出现显著解耦。这表明运动谨慎被用作一种适应性策略——我们称之为“穿透刚性”。这一现象似乎将信息收集负担转移至眼动系统,导致注视持续时间显著延长、视觉搜索模式受限。这些运动学变化与较差的任务表现及可测量的生理代价直接相关,表现为眨眼持续时间显著缩短,以及眼疲劳和认知负荷报告增加。我们得出结论:当前穿透实现诱导了从灵活探索向运动谨慎的可测量转变,其中任务表现得以保持,但以用户舒适度和生物力学效率为代价。这些发现为评估和改进未来XR设备提供了新的定量框架,表明解决穿透的“舒适性”问题需应对中介感知引起的深层生物力学代偿。数据可在以下网址获取:此https URL
英文摘要
Broad public adoption of head-mounted displays using video passthrough remains elusive despite significant market investment. A precise understanding of why users experience persistent discomfort even as hardware factors such as resolution and latency have dramatically improved remains an open issue. This paper investigates the impact of viewing the world through video passthrough systems on human behavioral and physiological patterns through a large-scale multimodal study. We developed a novel protocol to capture synchronized oculomotor, kinematic, and physiological data during a block assembly task requiring complex hand-eye coordination. Using a within-subject design (N=110), we evaluated both natural and passthrough viewing conditions. Our results reveal a four-fold suppression of rotational head velocity and a pronounced decoupling of head-gaze coordination. This suggests motor caution being employed as an adaptive strategy - which we term "Passthrough Rigidity". This phenomenon appears to shift the information-gathering burden to the oculomotor system, resulting in significantly longer fixation durations and restricted visual search patterns. These kinematic shifts directly correlate with poorer task performance and measurable physiological cost, evidenced by a significant reduction in blink duration and increased reports of ocular strain and cognitive load. We conclude that current passthrough implementations induce a measurable shift from flexible exploration to motor caution, where task performance is preserved at the cost of user comfort and biomechanical efficiency. These findings provide a novel quantitative framework for evaluating and improving future XR devices, establishing that resolving "comfort" for passthrough requires addressing the deep-seated biomechanical compensations caused by mediated perception. Data available at https://data.nvision.eecs.yorku.ca/Passthrough
Comments10 pages, 16 Figures, ISMAR