Self‐generated variability in object images predicts vocabulary growth
Self‐generated variability in object images predicts vocabulary growth
复制标题
物体图像的自生变化可预测词汇量的增长
DOI：
10.1111/desc.12816
复制
发表时间：
2019
影响因子：
3.7
通讯作者：
Yu, Chen
中科院分区：
文献类型：
--
作者：
Slone, Lauren K.;Smith, Linda B.;Yu, Chen
物体名称是早期词汇的主要组成部分，学习物体名称取决于能够视觉识别世界上的物体。然而，学习者必须解决的物体外观时刻变化的基本视觉挑战在单词学习研究中很少受到关注。在这里，我们提供了第一个证据，表明图像级对象可变性很重要，并且可能是将婴儿对象操作与词汇发展联系起来的纽带。本研究使用头戴式眼动追踪技术，从婴儿的第一人称视角客观地测量同一物体视觉实例的瞬间变化的个体差异。在 15 个月大时通过手动物体操作产生更多可变视觉物体图像的婴儿在接下来的六个月内词汇量增长得更快。阐明婴儿对物体的日常视觉体验可能是我们理解物体名称学习发展轨迹的一个重要的缺失环节。
Object names are a major component of early vocabularies and learning object names depends on being able to visually recognize objects in the world. However, the fundamental visual challenge of the moment‐to‐moment variations in object appearances that learners must resolve has received little attention in word learning research. Here we provide the first evidence that image‐level object variability matters and may be the link that connects infant object manipulation to vocabulary development. Using head‐mounted eye tracking, the present study objectively measured individual differences in the moment‐to‐moment variability of visual instances of the same object, from infants’ first‐person views. Infants who generated more variable visual object images through manual object manipulation at 15 months of age experienced greater vocabulary growth over the next six months. Elucidating infants’ everyday visual experiences with objects may constitute a crucial missing link in our understanding of the developmental trajectory of object name learning.