动态眼模型加虚拟反光，提升空间指代识别准确率
Virtual Reflections on a Dynamic 2D Eye Model Improve Spatial Reference Identification
- 在屏幕眼模型上叠加注视相关虚拟反光
- 用户识别准确率显著高于非反光与纯反光模式
- 适合人机交互中需精准空间指代的场景
人类眼睛的可见朝向能透露空间注意力及其他心理状态，使眼睛兼具感知与交流双重功能。因此，人工眼模型正被探索用于人机交互中的通信媒介。然而，屏幕眼模型在通信中存在空间指代模糊的问题。为此，我们提出一种引入随人工眼运动而变化的类反射特征的方法。通过30名参与者参与的快节奏群体互动任务实验发现，将注视相关的虚拟反光叠加于屏幕眼模型上，相比无反光模型和纯反光模式，显著提升了空间参考识别准确率与用户体验，表明两者存在协同增益效果。
原文摘要 · Abstract (English)
The visible orientation of human eyes creates some transparency about people's spatial attention and other mental states. This leads to a dual role of the eyes as a means of sensing and communication. Accordingly, artificial eye models are being explored as communication media in human-machine interaction scenarios. One challenge in the use of eye models for communication consists of resolving spatial reference ambiguities, especially for screen-based models. To address this challenge, we introduce an approach that incorporates reflection-like features that are contingent on the movements of artificial eyes. We conducted a user study with 30 participants in which participants had to use spatial references provided by dynamic eye models to advance in a fast-paced group interaction task. Compared to a non-reflective eye model and a pure reflection mode, the superimposition of screen-based eyes with gaze-contingent virtual reflections resulted in a higher identification accuracy and user experience, suggesting a synergistic benefit.
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