scholarly journals Proactive Interference Does Not Meaningfully Distort Visual Working Memory Capacity Estimates in the Canonical Change Detection Task

2012 ◽  
Vol 3 ◽  
Author(s):  
Po-Han Lin ◽  
Steven J. Luck
Keyword(s):  
Working Memory ◽  
Change Detection ◽  
Visual Working Memory ◽  
Proactive Interference ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Detection Task ◽  
Change Detection Task ◽  
Capacity Estimates

scholarly journals Unsupervised Online Assessment of Visual Working Memory in 4- to 10-Year-Old Children: Array Size Influences Capacity Estimates and Task Performance

2021 ◽  
Vol 12 ◽  
Author(s):  
Shannon Ross-Sheehy ◽  
Esther Reynolds ◽  
Bret Eschman
Keyword(s):  
Working Memory ◽  
Change Detection ◽  
Visual Working Memory ◽  
Detection Task ◽  
Array Size ◽  
Online Testing ◽  
Change Detection Task ◽  
Mixed Effect ◽  
Effect Analysis ◽  
Capacity Estimates

The events of the COVID-19 Pandemic forced many psychologists to abandon lab-based approaches and embrace online experimental techniques. Although lab-based testing will always be the gold standard of experimental precision, several protocols have evolved to enable supervised online testing for paradigms that require direct observation and/or interaction with participants. However, many tasks can be completed online in an unsupervised way, reducing reliance on lab-based resources (e.g., personnel and equipment), increasing flexibility for families, and reducing participant anxiety and/or demand characteristics. The current project demonstrates the feasibility and utility of unsupervised online testing by incorporating a classic change-detection task that has been well-validated in previous lab-based research. In addition to serving as proof-of-concept, our results demonstrate that large online samples are quick and easy to acquire, facilitating novel research questions and speeding the dissemination of results. To accomplish this, we assessed visual working memory (VWM) in 4- to 10-year-old children in an unsupervised online change-detection task using arrays of 1–4 colored circles. Maximum capacity (max K) was calculated across the four array sizes for each child, and estimates were found to be on-par with previously published lab-based findings. Importantly, capacity estimates varied markedly across array size, with estimates derived from larger arrays systematically underestimating VWM capacity for our youngest participants. A linear mixed effect analysis (LME) confirmed this observation, revealing significant quadratic trends for 4- through 7-year-old children, with capacity estimates that initially increased with increasing array size and subsequently decreased, often resulting in estimates that were lower than those obtained from smaller arrays. Follow-up analyses demonstrated that these regressions may have been based on explicit guessing strategies for array sizes perceived too difficult to attempt for our youngest children. This suggests important interactions between VWM performance, age, and array size, and further suggests estimates such as optimal array size might capture both quantitative aspects of VWM performance and qualitative effects of attentional engagement/disengagement. Overall, findings suggest that unsupervised online testing of VWM produces reasonably good estimates and may afford many benefits over traditional lab-based testing, though efforts must be made to ensure task comprehension and compliance.

The Nature of Haptic Working Memory Capacity and Its Relation to Visual Working Memory

2020 ◽  
Vol 33 (8) ◽  
pp. 837-864
Author(s):  
Taku Morimoto
Keyword(s):  
Working Memory ◽  
Change Detection ◽  
Visual Working Memory ◽  
Working Memory Capacity ◽  
Storage System ◽  
Colour Change ◽  
Detection Task ◽  
Change Detection Task ◽  
Dual Task Paradigm ◽  
Visual Shape

Abstract I conducted three experiments to investigate haptic working memory capacity using a haptic change detection task with 2D stimuli. I adopted a single-task paradigm comprising haptic single-feature (orientation or texture) and haptic multifeature (orientation and texture) conditions in Experiment 1 and a dual-task paradigm with a primary haptic orientation or texture change detection task and a concurrent secondary visual shape or colour change detection task in Experiments 2–3. I observed that in the single-task paradigm, haptic change detection capacity was higher for single features than it was for multiple features. In haptic working memory, unlike in visual working memory, features of two different dimensions within an object cannot be integrated. In the dual-task paradigm, interference was observed when the concurrent visual shape change detection task was combined with the haptic orientation change detection task although interference was not observed when the concurrent visual colour change detection task was combined with it. In addition, the concurrent visual shape or colour change detection task did not interfere with the capacity for haptic texture memory, which was higher than that for haptic orientation memory. These findings demonstrate that geometric properties perhaps retained a common storage system shared between haptic working memory and visual working memory; however, haptic texture might be retained in an independent stable storage system that is haptic-specific.

scholarly journals Understanding age-related reductions in visual working memory capacity: Examining the stages of change detection

2014 ◽  
Vol 76 (7) ◽  
pp. 2015-2030 ◽  
Author(s):  
Philip C. Ko ◽  
Bryant Duda ◽  
Erin Hussey ◽  
Emily Mason ◽  
Robert J. Molitor ◽  
...  
Keyword(s):  
Working Memory ◽  
Change Detection ◽  
Visual Working Memory ◽  
Stages Of Change ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Age Related

scholarly journals The Multiple Change Detection Approach to Estimating Visual Working Memory Capacity

2013 ◽  
Vol 13 (9) ◽  
pp. 1350-1350
Author(s):  
N. Carlisle ◽  
B. H. Hahn ◽  
B. Robinson ◽  
J. Gold ◽  
S. Luck
Keyword(s):  
Working Memory ◽  
Change Detection ◽  
Visual Working Memory ◽  
Working Memory Capacity ◽  
Memory Capacity ◽  
Detection Approach
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