Redirected walking utilizes gain adjustments within perceptual thresholds to allow natural navigation in large scale virtual environments within confined physical environments. Previous research has found that when users are distracted by some scene elements, they are less sensitive to gain values. However, the effects on detection thresholds have not been quantitatively measured. In this paper, we present a novel method that dynamically adjusts translation gain by leveraging visual distractors. We place distractors within the user's field of view and apply a larger translation gain when their attention is drawn to them. Because the magnitude of gain adjustment depends on the user's level of engagement with the distractors, the redirection process remains smooth and unobtrusive. To evaluate our method, we developed a task oriented virtual environment for a user study. Results show that introducing distractors in the virtual environment significantly raises users' translation gain thresholds. Furthermore, assessments using the Simulator Sickness Questionnaire and Igroup Presence Questionnaire indicate that the method maintains user comfort and acceptance, supporting its effectiveness for RDW systems.

翻译：重定向行走通过在感知阈值内调整增益，实现在有限物理空间中自然导航大规模虚拟环境。先前研究发现，当用户被某些场景元素分散注意力时，其对增益值的敏感度会降低，但该效应对检测阈值的影响尚未得到定量测量。本文提出一种利用视觉干扰物动态调整平移增益的新方法：在用户视野内放置干扰物，并在其注意力被吸引时施加更大的平移增益。由于增益调整幅度取决于用户对干扰物的关注程度，重定向过程能保持平滑且不易察觉。为评估该方法，我们开发了面向任务的虚拟环境进行用户研究。结果表明，在虚拟环境中引入干扰物能显著提升用户的平移增益阈值。此外，通过模拟器眩晕问卷与Igroup临场感问卷的评估证实，该方法在维持用户舒适度与接受度方面表现良好，验证了其在重定向行走系统中的有效性。