Mizuho Takato, Takenaka Shun, Narumi Takuji, Kuzuoka Hideaki
IEEE Trans Vis Comput Graph. 2025 Sep;31(9):5116-5129. doi: 10.1109/TVCG.2024.3433498.
In this study, by taking advantage of the benefit of virtual reality (VR), we propose a new learning method that employs multiple embodied self-avatars during learning. Based on the multiple-context effect, which posits that learning in diverse situations can prevent forgetting and enhance memory retention, we conducted a between-participants study under two conditions: the varied avatar condition, in which participants learned sign languages with different self-avatars in six iterations, and the constant avatar condition, in which the same self-avatar was used consistently. Initially, the varied avatar condition performed worse than the constant avatar condition. However, in a test conducted after one week in the real world, the varied avatar condition showed significantly less forgetting and better retention than the constant avatar condition. Furthermore, our results suggested a positive correlation between the degree of embodiment toward the avatars and the effectiveness of the proposed method. This study presents an innovative design approach for the use of self-avatars in VR-based education.
在本研究中,我们利用虚拟现实(VR)的优势,提出了一种在学习过程中采用多个具身化自我虚拟形象的新学习方法。基于多情境效应,即认为在不同情境中学习可以防止遗忘并增强记忆保持,我们在两种条件下进行了一项被试间研究:可变虚拟形象条件,即参与者在六次迭代中使用不同的自我虚拟形象学习手语;以及恒定虚拟形象条件,即始终使用相同的自我虚拟形象。最初,可变虚拟形象条件的表现比恒定虚拟形象条件差。然而,在一周后在现实世界中进行的测试中,可变虚拟形象条件比恒定虚拟形象条件显示出显著更少的遗忘和更好的记忆保持。此外,我们的结果表明对虚拟形象的具身化程度与所提出方法的有效性之间存在正相关。本研究提出了一种在基于VR的教育中使用自我虚拟形象的创新设计方法。