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衰老与预测推理:扩散模型分析

Aging and Predicting Inferences: A Diffusion Model Analysis.

作者信息

McKoon Gail, Ratcliff Roger

机构信息

The Ohio State University.

出版信息

J Mem Lang. 2013 Apr;68(3):240-254. doi: 10.1016/j.jml.2012.11.002. Epub 2012 Dec 23.

Abstract

In the domain of discourse processing, it has been claimed that older adults (60-90-year-olds) are less likely to encode and remember some kinds of information from texts than young adults. The experiment described here shows that they do make a particular kind of inference to the same extent that college-age adults do. The inferences examined were "predictive" inferences such as the inference that something bad would happen to the actress for the sentence "The director and cameraman were ready to shoot close-ups when suddenly the actress fell from the 14th story" (McKoon & Ratcliff, 1986). Participants read sentences like the actress one and then later they were asked to decide whether words that expressed an inference (e.g., "dead") had or had not appeared explicitly in a sentence. To directly compare older adults' performance to college-age adults' performance, we used a sequential sampling diffusion model (Ratcliff, 1978) to map response times and accuracy onto a single dimension of the strength with which an inference was encoded. On this dimension, there were no significant differences between the older and younger adults.

摘要

在话语处理领域,有人声称老年人(60至90岁)比年轻人更不容易对文本中的某些信息进行编码和记忆。这里描述的实验表明,他们在进行特定类型推理方面与大学生年龄的成年人程度相同。所研究的推理是“预测性”推理,例如对于句子“导演和摄像师准备拍摄特写镜头时,女演员突然从第14层楼坠落”(麦昆和拉特克利夫,1986年),人们会推断女演员会遭遇不好的事情。参与者阅读类似女演员相关的句子,之后被要求判断表达推理的词(如“死亡”)是否在句子中明确出现过。为了直接比较老年人与大学生年龄成年人的表现,我们使用了序列抽样扩散模型(拉特克利夫,1978年)将反应时间和准确性映射到推理编码强度的单一维度上。在这个维度上,老年人和年轻人之间没有显著差异。

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