Modeling memory dynamics in visual expertise.

Modeling memory dynamics in visual expertise.
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在视觉专业知识中建模内存动态。

DOI:
10.1037/xlm0000664
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发表时间:
2019-09
期刊:
Journal of experimental psychology. Learning, memory, and cognition
影响因子:
--
通讯作者:
Palmeri TJ
Palmeri TJ
中科院分区:
其他
文献类型:
--
作者:
Annis J;Palmeri TJ

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视觉专业知识的发展伴随着专家领域内增强的视觉对象识别记忆。我们的目的是了解专业知识和记忆的认知机制模型之间的关系。招募了具有一定观鸟专业知识的参与者,并测试了他们对鸟类(专家领域)和汽车(新手领域)的记忆。参与者进行了一个新老的连续识别记忆任务,即在每次试验的鸟或汽车的图像是新的或已提出的滞后J。线性弹道累加器模型首先被用来分解的准确性和响应时间漂移率,响应阈值,和非决策时间,与测量的视觉专业知识水平作为一个潜在的协变量对每个模型参数。一个专业知识x类别的相互作用,观察漂移率,这样的专业知识是正相关的记忆性能识别鸟的图像,但不是汽车图像作为旧与新。然后建模的基础过程负责漂移率的变化与专业知识,我们使用的漂移率模型建立在基于样本的随机游走模型,这表明,专业知识与记忆强度的增加和增加存储的样本的独特性。两者合计,我们提供了洞察力,使用正式的认知建模,如何提高识别记忆与专业知识是由增强在专家领域中的对象的表示。
The development of visual expertise is accompanied by enhanced visual object recognition memory within an expert domain. We aimed to understand the relationship between expertise and memory by modeling cognitive mechanisms. Participants with a measured range of birding expertise were recruited and tested on memory for birds (expert domain) and cars (novice domain). Participants performed an old-new continuous recognition memory task whereby on each trial an image of a bird or car was presented that was either new or had been presented earlier with lag j. The Linear Ballistic Accumulator model was first used to decompose accuracy and response time into drift rate, response threshold, and non-decision time, with the measured level of visual expertise as a potential covariate on each model parameter. An expertise x category interaction was observed on drift rates such that expertise was positively correlated with memory performance recognizing bird images but not car images as old versus new. To then model the underlying processes responsible for variation in drift rate with expertise, we used a model of drift rates building on the Exemplar-Based Random Walk model, which revealed that expertise was associated with increases in memory strength and increases in the distinctiveness of stored exemplars. Taken together, we provide insight using formal cognitive modeling into how improvements in recognition memory with expertise are driven by enhancements in the representations of objects in an expert domain.
DOI: 10.1002/wcs.1458
发表时间: 2018-03
期刊: Wiley interdisciplinary reviews. Cognitive science
影响因子: --
作者:
Annis J;Palmeri TJ
通讯作者: Palmeri TJ
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期刊: COGNITIVE SCIENCE
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期刊: MEMORY & COGNITION
影响因子: 2.4
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影响因子: 3.5
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