Center for Research in Language, University of California, San Diego, San Diego, CA, USA.
Behav Res Methods. 2012 Dec;44(4):1028-41. doi: 10.3758/s13428-012-0215-z.
To understand how and when object knowledge influences the neural underpinnings of language comprehension and linguistic behavior, it is critical to determine the specific kinds of knowledge that people have. To extend the normative data currently available, we report a relatively more comprehensive set of object attribute rating norms for 559 concrete object nouns, each rated on seven attributes corresponding to sensory and motor modalities-color, motion, sound, smell, taste, graspability, and pain-in addition to familiarity (376 raters, M = 23 raters per item). The mean ratings were subjected to principal-components analysis, revealing two primary dimensions plausibly interpreted as relating to survival. We demonstrate the utility of these ratings in accounting for lexical and semantic decision latencies. These ratings should prove useful for the design and interpretation of experimental tests of conceptual and perceptual object processing.
为了理解物体知识如何以及何时影响语言理解和语言行为的神经基础，确定人们所具有的特定类型的知识至关重要。为了扩展当前可用的规范数据，我们报告了一组相对更全面的 559 个具体物体名词的物体属性评级规范，每个名词都根据与感觉和运动模式相对应的七个属性进行了评级——颜色、运动、声音、气味、味道、可抓握性和疼痛——除了熟悉度（376 名评分者，每项物品平均有 23 名评分者）。对平均评分进行了主成分分析，揭示了两个可能与生存相关的主要维度。我们展示了这些评分在解释词汇和语义决策潜伏期方面的效用。这些评分应该有助于设计和解释关于概念和感知物体处理的实验测试。
