评估基于注视的三维目标选择中的辐辏-调节冲突
Evaluating the Vergence-Accommodation Conflict in Gaze-Based 3D Target Selection
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中文总结 AI 辅助
本文研究头戴式显示器的辐辏-调节冲突对基于注视的三维目标选择的影响，发现深度增加会降低选择性能，屈光度变化菲茨定律模型更适配，凸显深度因素对交互设计的重要性。
中文摘要 AI 辅助
最先进的头戴式显示器（HMD）支持在虚拟环境中进行基于注视的选择，但这类设备存在辐辏-调节冲突（VAC），已知会影响交互性能。由于VAC直接影响眼球运动行为，可能会对基于注视的选择性能产生影响。因此，本文研究不同深度条件下VAC如何影响基于注视的三维目标选择。结果显示，随着视觉深度增加，用户基于注视的选择性能显著下降；相比线性模型，此前提出的屈光度变化菲茨定律模型能更好地捕捉这种性能变化。这些发现为基于注视的指向受VAC负面影响提供了证据，并强调在三维环境中设计基于注视的交互时，考虑深度相关因素的重要性。
英文摘要
State-of-the-art head-mounted displays (HMDs) enable gaze-based selection in virtual environments. Yet, these HMDs suffer from the vergence-accommodation conflict (VAC), which is known to affect interaction performance. The VAC might influence gaze-based selection performance because it directly affects eye-movement behavior. Thus, in this paper, we investigate how the VAC influences gaze-based 3D target selection across varying depth conditions. Our results show that as the (visual) depth increases, user performance significantly decreases with gaze-based selection. Moreover, a previously suggested Variation in Diopter Fitts' law model captured this performance change better relative to a linear model. These findings provide evidence that gaze-based pointing is negatively affected by the VAC and highlight the importance of accounting for depth-dependent factors when designing gaze-based interaction in 3D environments.
