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: Waseda University
• 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
• 起止时间: 2022-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K13874/
• 关键词: Visual Working Memory; Visual Cognition

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.

本研究旨在建立一种有效而可靠的视觉工作记忆测量方法并验证其有效性。这个项目的第一部分已经完成，“视觉工作记忆跟踪”范式的设计和测试。这种方法从连续心理物理学和多对象跟踪中获得灵感，这样参与者就可以看到一系列事件，然后在触摸屏上重现这个序列。通过将刺激作为一系列事件，我们可以在一次试验中收集数百个数据点。重要的是，我们发现新的任务不会受到知觉或注意力混淆的影响。正如预期的那样，新的方法具有很高的能力，能够在10名参与者和少于10次试验（每个参与者的测试时间少于15分钟）的情况下测量集合大小2和4之间的差异。更重要的是，这种高度的功效还允许研究视觉工作记忆资源在整个试验中是如何分布的。这项研究已在2023年澳大利亚实验心理学会议上发表，并将在2023年视觉科学学会上发表。手稿正在定稿，并将在本月内提交给一份学术期刊。

项目成果

Efficient Measurement of Dynamic Visual Working Memory

动态视觉工作记忆的有效测量

• 发表时间: 2023
• 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）