» Articles » PMID: 30076533

A Note on the Identification of Change Detection Task Models to Measure Storage Capacity and Attention in Visual Working Memory

Overview
Publisher Springer
Specialty Social Sciences
Date 2018 Aug 5
PMID 30076533
Citations 6
Authors
Affiliations
Soon will be listed here.
Abstract

The change detection task is a common method for assessing the storage capacity of working memory, but estimates of memory capacity from this task can be distorted by lapses of attention. When combined with appropriate mathematical models, some versions of the change detection task make it possible to separately estimate working memory and the probability of attentional lapses. In principle, these models should allow researchers to isolate the effects of experimental manipulations, group differences, and individual differences on working memory capacity and on the rate of attentional lapses. However, the present research found that two variants of a widely accepted model of the change detection task are not mathematically identified.

Citing Articles

Attention in Schizophrenia.

Luck S, Gold J Curr Top Behav Neurosci. 2022; 63:61-78.

PMID: 35902544 DOI: 10.1007/7854_2022_380.


The Cycling Brain in the Workplace: Does Workload Modulate the Menstrual Cycle Effect on Cognition?.

Xu M, Chen D, Li H, Wang H, Yang L Front Behav Neurosci. 2022; 16:856276.

PMID: 35722191 PMC: 9201761. DOI: 10.3389/fnbeh.2022.856276.


Working Memory Performance for Differentially Conditioned Stimuli.

Ward R, Lotfi S, Stout D, Mattson S, Lee H, Larson C Front Psychol. 2022; 12():811233.

PMID: 35145464 PMC: 8821888. DOI: 10.3389/fpsyg.2021.811233.


Transdiagnostic comparison of visual working memory capacity in bipolar disorder and schizophrenia.

Barnes-Scheufler C, Passow C, Rosler L, Mayer J, Oertel V, Kittel-Schneider S Int J Bipolar Disord. 2021; 9(1):12.

PMID: 33797645 PMC: 8018920. DOI: 10.1186/s40345-020-00217-x.


Improving Measurement Precision in Experimental Psychopathology Using Item Response Theory.

Feuerstahler L, Waller N, MacDonald 3rd A Educ Psychol Meas. 2020; 80(4):695-725.

PMID: 32616955 PMC: 7307489. DOI: 10.1177/0013164419892049.


References
1.
Fukuda K, Vogel E, Mayr U, Awh E . Quantity, not quality: the relationship between fluid intelligence and working memory capacity. Psychon Bull Rev. 2010; 17(5):673-9. PMC: 3050565. DOI: 10.3758/17.5.673. View

2.
Engle R, Tuholski S, Laughlin J, Conway A . Working memory, short-term memory, and general fluid intelligence: a latent-variable approach. J Exp Psychol Gen. 1999; 128(3):309-331. DOI: 10.1037//0096-3445.128.3.309. View

3.
Alvarez G, Cavanagh P . The capacity of visual short-term memory is set both by visual information load and by number of objects. Psychol Sci. 2004; 15(2):106-11. DOI: 10.1111/j.0963-7214.2004.01502006.x. View

4.
Mrazek M, Smallwood J, Franklin M, Chin J, Baird B, Schooler J . The role of mind-wandering in measurements of general aptitude. J Exp Psychol Gen. 2012; 141(4):788-798. DOI: 10.1037/a0027968. View

5.
Rouder J, Morey R, Morey C, Cowan N . How to measure working memory capacity in the change detection paradigm. Psychon Bull Rev. 2011; 18(2):324-30. PMC: 3070885. DOI: 10.3758/s13423-011-0055-3. View