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Developing a Method to Measure Dynamic Visual Working Memory

Developing a Method to Measure Dynamic Visual Working Memory
开发一种测量动态视觉工作记忆的方法
批准号:
22K13874
负责人:
KONG Garry
金额:
$2.5万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Early-Career Scientists
财政年份:
2022
资助国家:
日本
项目状态:
未结题
起止时间:
2022-04-01 至 2025-03-31

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中文摘要
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英文摘要
This research aims to create a efficient yet reliable method to measure visual working memory and establish its validity. The first part of this project is complete, with the "Visual Working Memory Tracking" paradigm designed and tested. This method takes inspiration from continuous psychophysics and multiple object tracking, such that participants view a sequence of events and then reproduce this sequence on a touchscreen. By having the stimulus as a sequence of events, we are then able to collect hundreds of data points across a single trial. Importantly, we find that new task does not suffer from perceptual or attentional confounds.As expected, the new method has a high degree of power, with the ability to measure the difference between set sizes 2 and 4 with 10 participants and less than 10 trials (less than 15 minutes of testing per participant). More importantly, the high degree of power also allows for the study of how visual working memory resources are distributed across the trial.This research has been presented at the Australasian Experimental Psychology Conference 2023, and will also be presented at the Vision Sciences Society 2023. The manuscript is being finalised and will be submitted to an academic journal within the month.
期刊论文(4)
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会议论文
Efficient Measurement of Dynamic Visual Working Memory
动态视觉工作记忆的有效测量
DOI: --
发表时间: 2023
期刊:
影响因子: --
作者: [Garry Kong, Isabelle Frisken, Gwenisha J. Liaw, Robert Keys, David Alais]
通讯作者: David Alais
University of Sydney(オーストラリア)
悉尼大学(澳大利亚)
DOI: --
发表时间:
期刊:
影响因子: --
作者: []
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