The Impact of Object Complexity on Visual Working Memory Capacity

Chen, Xiaoxi; Bin, Li; Liu, Yaozhong

doi:10.4236/psych.2017.86060

Cited by 11 publications

(5 citation statements)

References 11 publications

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“…Regarding storage active memory in individuals with major depression, it can be stated that this memory is reduced in both groups: individuals with major depression and normal individuals. Studies have shown that the test of storage active memory indicates less efficient performance in storage active memory in both groups of individuals with major depression and the control group (Chen et al, 2017;Cristofori et al, 2019). Thus, a disorder in storage active memory performance can be one of the cognitive characteristics of individuals with major depression.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Working Memory in Individuals with Obsessive-Compulsive Disorder, Major Depression, Panic Disorder and Healthy Individuals

Sabokbar,

Abolghasemi,

Farhangi

2023

JARAC

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Background and Aim: The purpose of this study was to compare working memory in people with obsessive-compulsive disorder, major depression, panic disorder and healthy individuals. Methods: The research method was causal-comparative. The statistical population of the present study included all patients referred to psychiatric clinics of Qom city in 1401-1400. In this study, a total of 200 people (people with obsessive-compulsive disorder: 50 people, patients with major depressive disorder: 50 and those with panic disorder: 50 and healthy people: 50 people) were selected by available sampling method. The instruments for collecting the research included the working memory of Daniman and Carpenter (1980). Data were analyzed by SPSS software (24) and multi-way ANOVA test. Results: The results of the analysis showed that working memory is different in patients with obsessive-compulsive disorder, major depression, panic disorder and healthy individuals (P<0.01). The working memory of obsessive-compulsive disorder was higher than that of major depressive disorder and panic disorder individuals and less with healthy individuals (P<0.01). Conclusion: It can be concluded that working memory was different in patients with obsessive-compulsive disorder, major depression, panic disorder and healthy individuals.

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Section: Discussionmentioning

confidence: 99%

Comparison of Working Memory in Individuals with Obsessive-Compulsive Disorder, Major Depression, Panic Disorder and Healthy Individuals

Sabokbar,

Abolghasemi,

Farhangi

2023

JARAC

View full text Add to dashboard Cite

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“…It is often associated with the prefrontal cortex of the brain and is crucial for decision-making and behavior regulation. In sum, working memory is a critical cognitive function that involves the temporary storage and manipulation of information which is influenced by various factors, ranging from genetic to environmental (1,4,5).…”

Section: Introductionmentioning

confidence: 99%

“…The study of Chen (2021) explored DLL from various perspectives, including its cognitive impact. It implied that technology in language learning can influence cognitive functions, including working memory (4). Sweller (2020) provides instructional recommendations based on cognitive load W theory, relevant to technology's impact on reducing working memory load in educational settings (6).…”

Section: Introductionmentioning

confidence: 99%

The Impact of Doing Assignments with Chatbots on The Students’ Working Memory

Rostami,

Mehdi Abadi

2023

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This study aimed to investigates the effects of chatbot usage on working memory in students who do their assignments with chatbots. The research employed a Single-Subject AB design involving three participants, with each phase consisting of four measurements. Remarkably, the study revealed diverse outcomes: one participant exhibited no significant change in working memory, another showed a decrease, and the third experienced a gradual increase. These varied results suggest that chatbots can have differential impacts on working memory, potentially explained by cognitive load theory. This theory emphasizes the importance of optimizing technology use in learning environments to support working memory functions. The study's findings indicate that chatbots, as an educational tool, can have complex and varying effects on students' cognitive abilities, particularly in terms of working memory.

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“…Visual complexity is a well-known concept in many disciplines including neuroscience [1,2], cognitive psychology [3][4][5], product marketing [6,7], web design [8,9], art [10], etc. From a theoretical point of view, studying visual complexity has revealed information about the human visual system operation when evaluating stimuli [2], the memory formation mechanism [1], and its capacity [11]. It has also helped psychologists to understand how the visual complexity of scenes impacts emotion and attracts attention [12].…”

Section: Introductionmentioning

confidence: 99%

On the Quantification of Visual Texture Complexity

Mirjalili

Hardeberg

2022

J. Imaging

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Complexity is one of the major attributes of the visual perception of texture. However, very little is known about how humans visually interpret texture complexity. A psychophysical experiment was conducted to visually quantify the seven texture attributes of a series of textile fabrics: complexity, color variation, randomness, strongness, regularity, repetitiveness, and homogeneity. It was found that the observers could discriminate between the textures with low and high complexity using some high-level visual cues such as randomness, color variation, strongness, etc. The results of principal component analysis (PCA) on the visual scores of the above attributes suggest that complexity and homogeneity could be essentially the underlying attributes of the same visual texture dimension, with complexity at the negative extreme and homogeneity at the positive extreme of this dimension. We chose to call this dimension visual texture complexity. Several texture measures including the first-order image statistics, co-occurrence matrix, local binary pattern, and Gabor features were computed for images of the textiles in sRGB, and four luminance-chrominance color spaces (i.e., HSV, YCbCr, Ohta’s I1I2I3, and CIELAB). The relationships between the visually quantified texture complexity of the textiles and the corresponding texture measures of the images were investigated. Analyzing the relationships showed that simple standard deviation of the image luminance channel had a strong correlation with the corresponding visual ratings of texture complexity in all five color spaces. Standard deviation of the energy of the image after convolving with an appropriate Gabor filter and entropy of the co-occurrence matrix, both computed for the image luminance channel, also showed high correlations with the visual data. In this comparison, sRGB, YCbCr, and HSV always outperformed the I1I2I3 and CIELAB color spaces. The highest correlations between the visual data and the corresponding image texture features in the luminance-chrominance color spaces were always obtained for the luminance channel of the images, and one of the two chrominance channels always performed better than the other. This result indicates that the arrangement of the image texture elements that impacts the observer’s perception of visual texture complexity cannot be represented properly by the chrominance channels. This must be carefully considered when choosing an image channel to quantify the visual texture complexity. Additionally, the good performance of the luminance channel in the five studied color spaces proves that variations in the luminance of the texture, or as one could call the luminance contrast, plays a crucial role in creating visual texture complexity.

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The Impact of Object Complexity on Visual Working Memory Capacity

Cited by 11 publications

References 11 publications

Comparison of Working Memory in Individuals with Obsessive-Compulsive Disorder, Major Depression, Panic Disorder and Healthy Individuals

Comparison of Working Memory in Individuals with Obsessive-Compulsive Disorder, Major Depression, Panic Disorder and Healthy Individuals

The Impact of Doing Assignments with Chatbots on The Students’ Working Memory

On the Quantification of Visual Texture Complexity

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