用眼神控制机器人并聚焦视觉增强，显著提升救援任务效率。
Impact of Gaze-Based Interaction and Augmentation on Human-Robot Collaboration in Critical Tasks
- 通过眼神追踪实现机器人控制与视觉聚焦增强
- 任务时间缩短超60%，认知负荷降低38%
- 适合高压力场景下人机协作研究者参考
我们开展了一项用户研究，分析在模拟搜救任务中基于头部注视的机器人控制与中心视野视觉增强的效果。结果表明，中心视野增强显著提升任务表现，使认知负荷降低38%，任务时间缩短超过60%。通过对整个任务及短时间段内注视模式的分析发现，近处与远处注意力捕获对理解关键情境下的用户意图至关重要。研究强调了中心视野增强技术的潜力，并指出需进一步研究注视指标以在关键任务中有效利用。
原文摘要 · Abstract (English)
We present a user study analyzing head-gaze-based robot control and foveated visual augmentation in a simulated search-and-rescue task. Results show that foveated augmentation significantly improves task performance, reduces cognitive load by 38%, and shortens task time by over 60%. Head-gaze patterns analysed over both the entire task duration and shorter time segments show that near and far attention capture is essential to better understand user intention in critical scenarios. Our findings highlight the potential of foveation as an augmentation technique and the need to further study gaze measures to leverage them during critical tasks.
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