Visual Abilities Research Articles

AVA: Towards Autonomous Visualization Agents through Visual Perception‐Driven Decision‐Making

AbstractWith recent advances in multi‐modal foundation models, the previously text‐only large language models (LLM) have evolved to incorporate visual input, opening up unprecedented opportunities for various applications in visualization. Compared to existing work on LLM‐based visualization works that generate and control visualization with textual input and output only, the proposed approach explores the utilization of the visual processing ability of multi‐modal LLMs to develop Autonomous Visualization Agents (AVAs) that can evaluate the generated visualization and iterate on the result to accomplish user‐defined objectives defined through natural language. We propose the first framework for the design of AVAs and present several usage scenarios intended to demonstrate the general applicability of the proposed paradigm. Our preliminary exploration and proof‐of‐concept agents suggest that this approach can be widely applicable whenever the choices of appropriate visualization parameters require the interpretation of previous visual output. Our study indicates that AVAs represent a general paradigm for designing intelligent visualization systems that can achieve high‐level visualization goals, which pave the way for developing expert‐level visualization agents in the future.

Role of visual abilities in mathematics learning: An analysis of conceptual representation

Role of visual abilities in mathematics learning: An analysis of conceptual representation

Analisis Kemampuan Representasi Matematis Siswa Ditinjau dari Kemampuan Awal Matematis Siswa pada Materi Himpunan

This study aims to describe students' mathematical representation abilities in terms of students' initial mathematical abilities in solving problems on set material. This type of research is a qualitative description. The subjects in this study were class VII D at SMPN 04 Singkawang. The instrument used in this research is a mathematical representation ability test. As well as interviews to support the test results in this study. Based on the results of the data analysis, it can be seen that 1) Students who have initial mathematical abilities in the upper group have moderate level of mathematical representation skills with moderate level of verbal representation skills, moderate level of symbol representation skills and moderate level of visual representation abilities. 2) Students who have early middle group mathematical ability have moderate level of mathematical representation ability with moderate level of verbal representation ability, medium level of symbol representation ability and medium level of visual representation ability. 3) Students who have early mathematical abilities in the lower group have moderate level of mathematical representation skills with moderate level of verbal representation skills, moderate level of symbol representation skills and moderate level of visual representation abilities.

Orthogonal neural representations support perceptual judgements of natural stimuli.

In natural behavior, observers must separate relevant information from a barrage of irrelevant information. Many studies have investigated the neural underpinnings of this ability using artificial stimuli presented on simple backgrounds. Natural viewing, however, carries a set of challenges that are inaccessible using artificial stimuli, including neural responses to background objects that are task-irrelevant. An emerging body of evidence suggests that the visual abilities of humans and animals can be modeled through the linear decoding of task-relevant information from visual cortex. This idea suggests the hypothesis that irrelevant features of a natural scene should impair performance on a visual task only if their neural representations intrude on the linear readout of the task relevant feature, as would occur if the representations of task-relevant and irrelevant features are not orthogonal in the underlying neural population. We tested this hypothesis using human psychophysics and monkey neurophysiology, in response to parametrically variable naturalistic stimuli. We demonstrate that 1) the neural representation of one feature (the position of a central object) in visual area V4 is orthogonal to those of several background features, 2) the ability of human observers to precisely judge object position was largely unaffected by task-irrelevant variation in those background features, and 3) many features of the object and the background are orthogonally represented by V4 neural responses. Our observations are consistent with the hypothesis that orthogonal neural representations can support stable perception of objects and features despite the tremendous richness of natural visual scenes.

A Global Overview of SVA—Spatial–Visual Ability

This study examines the global literature that looks at spatial–visual abilities (SVA) while considering the numerous differential studies, methods of evaluation designed over a century, and multiple external influences on its development. The dataset was retrieved from Google Scholar and publisher databases such as Elsevier, Taylor & Francis, Springer, etc. Only factual reports and bibliographic reviews were included in an analysis of a total of 87 documents. Each study of SVA is classified based on information, country, year, and age groupings. SVA has been extensively studied in the areas of “STEM (Science, Technology, Engineering and Mathematics) fields”, “demographic factors” and “other activities”. “Spatial visualisation” or “visual ability” is the term employed to refer to the cognitive ability that allows one to comprehend, mentally process, and manipulate three-dimensional visuospatial shapes. One of the most crucial distinct abilities involved is spatial aptitude, which aids in understanding numerous aspects of everyday and academic life. It is especially vital for comprehending scientific concepts, and it has been extensively studied. Nearly all multiple-aptitude assessments include spatial ability. It is determined that over the past two decades, the study of SVA has gained momentum, most likely because of information being digitised. Within the vast reservoir of spatial-cognition research, the majority of the studies examined here originate from the United States of America, with less than a quarter of the studies based in the Asia–Pacific region and the Middle East. This paper presents a comprehensive review of the literature on the assessment of SVA with respect to sector, year, country, age and socio-economic factors. It also offers a detailed examination of the use of spatial interventions in educational environments to integrate spatial abilities with training in architecture and interior design.

Effects of looming audio on transcranial magnetic stimulation-induced phosphene perception.

Looming sounds are known to influence visual function in the brain, even as early as the primary visual cortex. However, despite evidence that looming sounds have a larger impact on cortical excitability than stationary sounds, the influence of varying looming strengths on visual ability remains unclear. Here, we aim to understand how these signals influence low-level visual function. Fourteen healthy undergraduate students participated. They were blindfolded and received transcranial magnetic stimulation (TMS) to the primary visual cortex following auditory stimulation with different strength looming sounds. Participants reported whether they perceived a phosphene, or an illusory visual percept, following TMS stimulation. We hypothesized that rates of phosphene activity would increase with increasing levels of looming strength. A linear mixed-effect model showed that phosphene activity was significantly higher at higher strength of looming (F(1, 69) = 5.33, p = .024) and at higher TMS pulse strength (F(1, 18) = 4.71, p = .043). However, there was also a significant interaction between looming strength and pulse strength (F(1, 69) = 4.33, p = .041). At lower levels of TMS strength, phosphene rate increased with looming strength, while at higher levels of TMS strength the effect was reversed. These results suggest a complex relationship between looming strength and cortical activity, potentially reflecting the mixed contribution of total auditory energy and the rate of changes. This work will enhance our ability to predict audiovisual interactions and may help improve auditory warning systems designed to capture visual attention.

A general ability for judging simple and complex ensembles.

People can report summary statistics for various features about a group of objects. One theory is that different abilities support ensemble judgments about low-level features like color versus high-level features like identity. Existing research mostly evaluates such claims based on evidence of correlations within and between feature domains. However, correlations between two identical tasks that only differ in the type of feature that is used can be inflated by method variance. Another concern is that conclusions about high-level features are mostly based on faces. We used latent variable methods on data from 237 participants to investigate the abilities supporting low-level and high-level feature ensemble judgments. Ensemble judgment was measured with six distinct tests, each requiring judgments for a distinct low-level or high-level feature, using different task requirements. We also controlled for other general visual abilities when examining how low-level and high-level ensemble abilities relate to each other. Confirmatory factor analyses showed a perfect correlation between the two factors, suggesting a single ability. There was a unique relationship between these two factors beyond the influence of object recognition and perceptual speed. Additional results from 117 of the same participants also ruled out the role of working memory. This study provides strong evidence of a general ensemble judgment ability across a wide range of features at the latent level and characterizes its relationship to other visual abilities. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The Impact of Scene Context on Visual Object Recognition: Comparing Humans, Monkeys, and Computational Models.

During natural vision, we rarely see objects in isolation but rather embedded in rich and complex contexts. Understanding how the brain recognizes objects in natural scenes by integrating contextual information remains a key challenge. To elucidate neural mechanisms compatible with human visual processing, we need an animal model that behaves similarly to humans, so that inferred neural mechanisms can provide hypotheses relevant to the human brain. Here we assessed whether rhesus macaques could model human context-driven object recognition by quantifying visual object identification abilities across variations in the amount, quality, and congruency of contextual cues. Behavioral metrics revealed strikingly similar context-dependent patterns between humans and monkeys. However, neural responses in the inferior temporal (IT) cortex of monkeys that were never explicitly trained to discriminate objects in context, as well as current artificial neural network models, could only partially explain this cross-species correspondence. The shared behavioral variance unexplained by context-naive neural data or computational models highlights fundamental knowledge gaps. Our findings demonstrate an intriguing alignment of human and monkey visual object processing that defies full explanation by either brain activity in a key visual region or state-of-the-art models.

Senior Baccalaureate Nursing Students’ Knowledge and Visual Differentiation Ability for the Pressure Injury Classification System and Incontinence-associated Dermatitis

Purpose: This study aimed to evaluate senior baccalaureate nursing students’ knowledge and visual differentiation ability for the pressure injury classification system (PICS) and incontinence-associated dermatitis (IAD).Methods: A cross-sectional survey was conducted using a paper-based questionnaire with 120 senior baccalaureate nursing students in South Korea. Data were collected using a knowledge test (KT) and a visual differentiation tool (VDT) based on 21 photographs with clinical information related to PICS and IAD.Results: Students had relatively high KT scores (62.6%), and low VDT scores (35.6%). Critical issues in this study were nursing students’ lack of an adequate visual differentiation ability to accurately assess the stage of pressure injury and IAD and their higher level of confusion in identifying unstageable, deep tissue injuries, and IAD compared to stage 1-4 injuries. Satisfaction with education (r=.20, p<.05) and exposure to various teaching methods (r=.21, p<.05) exhibited significant correlations with higher VDT scores.Conclusion: The findings of this study suggest that increasing students’ satisfaction with their education and applying various teaching methods can contribute to the improvement of visual differentiation ability in PICS.

Automated lane change behavior prediction and environmental perception based on SLAM technology

In the automatic driving system, the external environment of the vehicle is perceived, in fact, there is also a perception sensor that has been silently dedicated in the system, that is, the positioning module. This paper explores the role of SLAM (Simultaneous Localization and Mapping) technology in autonomous vehicles, particularly in automatic lane change behavior prediction and environment perception. It emphasizes the limitations of traditional methods and the advantages of SLAM, especially visual SLAM, for accurate positioning and mapping. The discussion covers SLAM fundamentals, challenges, and the significance of visual SLAM's higher perception ability. Case studies on Waymo and Tesla illustrate the application of visual SLAM in achieving high-precision navigation and lane change prediction. The paper concludes by highlighting future research directions to enhance the intelligence and adaptability of automated lane change systems through advancements in AI and sensor technology, alongside optimizing SLAM algorithms for reliable driving in various scenarios.

지각-인지기술 훈련이 엘리트 청소년 축구선수의 시각탐색전략에 미치는 영향

지각-인지기술 훈련이 엘리트 청소년 축구선수의 시각탐색전략에 미치는 영향

Active and Authentic Learning in Remote Laboratory: Means of Improving Prospective Physics Teachers’ Multiple Representation Ability

Remote laboratories are a new domain that allows students and teachers to conduct experiments in hands-on exploration remotely. We studied how constructing an active and authentic learning in a remote laboratory affects prospective physics teachers' multiple representation ability. The research method used is based on the development procedures of the ADDIE research and development model. We have designed and validated a learning design with a remote laboratory environment with 2 physics experiment apparatuses, active and authentic learning stages, multi-representation ability assessment, and remote laboratory application evaluation tools. This study implemented design-based research with a one-group pre-test and post-test design. The research was conducted on 28 prospective physics teacher students. In terms of effectiveness, this learning design was able to improve significantly [t (28) = 7.480, p.05] in verbal, visual, and mathematics representation ability. Therefore, it can be used by lecturers and those in other science fields to improve the quality of learning and developing prospective physics teachers’ multiple representation Skills.

Eye morphology in four species of tiger beetles (Coleoptera: Cicindelidae)

Compound eyes undoubtedly represent the widespread eye architecture in the animal kingdom. The insects' compound eye shows a wide variety of designs, and insects use their visual capacity to accomplish several tasks, including avoiding enemies, searching for food and shelter, locating a mate, and acquiring information about the environment and its surroundings. Broad literature data support the concept that visual ability lies in the way the eyes are built. Since the resolution and sensitivity of the compound eye are partly determined by the density of the ommatidia and the size of the facets. Morphological parameters of the compound eyes could influence the function of the visual organ and its capacity to process information, also representing a sensitive indicator of different habitat demands. In this study, we compared compound eyes' parameters in four closely related species of tiger beetles to disclose differences arising from different habitats. Furthermore, to investigate whether there are consistent intersexual differences, we also compared the most relevant parameters of the eye in males and females of four selected species. Our results show sex-related and interspecific differences that occur in examined species.

DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement

Vision-guided Autonomous Underwater Vehicles (AUVs) have gradually become significant tools for human exploration of the ocean. However, distorted images severely limit the visual ability, making it difficult to meet the needs of complex underwater environment perception. Fortunately, recent advancements in deep learning have led to rapid developments in underwater image enhancement. The emergence of the Transformer architecture has further enhanced the capabilities of deep learning. However, the direct application of Transformer to underwater image enhancement presents challenges in computing pixel-level global information and extracting local features. In this paper, we present a novel approach that merges dimension decomposition Transformer with semi-supervised learning for underwater image enhancement. To begin, dimension decomposition attention is proposed, which enables Transformer to compute global dependencies directly at the original scale and correct color distortions effectively. Concurrently, we employ convolutional neural networks to compensate for Transformer's limitations in extracting local features, thereby enriching details and textures. Subsequently, a multi-stage Transformer strategy is introduced to divide the network into high- and low-resolution stages for multi-scale global information extraction. It helps correct color distortions while enhancing the network's focus on regions with severe degradation. Moreover, we design a semi-supervised learning framework to reduce the reliance on paired datasets and construct a corresponding multi-scale fusion discriminator to enhance the sensitivity to input data. Experimental results demonstrate that our method outperforms state-of-the-art approaches, showcasing excellent learning and generalization capabilities on subjective perception and overall evaluation metrics. Furthermore, outstanding results highlight the significant improvements it brings to downstream visual engineering applications. The code of the proposed DDformer is available at https://github.com/ZhiGao-hfuu/DDformer.

The effect of cognitive flexibility on students’ spatial visualization abilities and computational thinking skills in a three-dimensional design and coding training

ABSTRACT Aim and background Today, students are encouraged to develop spatial visualization ability to meet the challenges of digital technologies impacting their daily life and education when exposed more time to a virtual 3D environment. This study investigated the effect of cognitive flexibility levels on students’ spatial visualization abilities and computational thinking skills in three-dimensional design and coding training. In addition, this study examined the effect of the training on the spatial visualization abilities and computational thinking skills of the students. Method The study employed a one-group pre-test/post-test quasi-experimental design. A total of 60 university students (51 female and 9 male) participated in this study. University students received three-dimensional design and coding training by using Tinkercad. The Spatial Visualization Test, the Cognitive Flexibility Scale, the Computational Thinking Scale and semi-structured interview form were used to collect data. Paired samples t-test and one-way ANCOVA were used for the data analysis. Results and discussion Results from the training indicated that the students’ spatial visualization abilities improved. Their spatial visualization abilities and computational thinking skills were related to their cognitive flexibility levels. The training also improved the spatial visualization abilities and computational thinking skills of students with high cognitive flexibility. 3D design and coding education could be more effective for students with high cognitive flexibility. The qualitative findings supported the results of the study.

Impact of distinct cognitive domains on gait variability in individuals with mild cognitive impairment and dementia.

Gait variability is a common feature in neurodegenerative diseases and has been linked to cognitive impairment. Despite this link, the influence of specific cognitive domains, such as memory, visual spatial skills, executive function, and verbal function on gait variability is not well-understood. To investigate the predictive value of these specific cognitive domains on gait variability in people with mild cognitive impairment (MCI) and dementia during preferred and dual task walking. One hundred and two participants with either MCI or dementia underwent a comprehensive cognitive assessment and completed preferred and dual-task walking trials on a pressure-sensing walkway. Gait variability was assessed using the PKMAS software. Lower extremity function was evaluated with a self-reported validated scale. Our findings indicate that only visual spatial abilities had a moderate predictive value on gait variability [F (1, 78) = 17.30, p < 0.01, r = 0.43], both in preferred pace walking (70% direct effect) and dual-task walking (90% direct effect) (p's < 0.05). Additionally, lower extremity functional skills had a significant indirect effect (30%) on gait variability in preferred walking contexts. For individuals diagnosed with MCI or dementia, increased gait variability may be driven by deficits in visual spatial processing. An increased understanding of the role of visual spatial processing in gait variability can aid in the assessment and management of individuals with MCI or dementia, potentially leading to targeted interventions to improve mobility and safety.

Cross-disciplinary impact of spatial visualization ability on study success in higher education.

Cross-disciplinary impact of spatial visualization ability on study success in higher education.

Efficacy of yoga package on cognitive flexibility and attention in university girls: A single group pilot study

Executive functions and attention are key indicator of cognitive health. Cognitive flexibility, the ability to flexibly switch between tasks, is a core dimension of executive functions. Yoga helps to improve mental wellness, which consequently provides cognitive flexibility.This study aimed to determine the effect of yoga on cognitive flexibility and attention in university girls.Thirty healthy university girls (group mean ± SD; 18.27 ± 1.44) were enrolled as participants in the study. Trail Making Test (TMT) parts A and B were used to assess their cognitive flexibility whereas sustained attention was determined using Six Letter Cancellation Test (SLCT). The assessments were taken at baseline and after three months of yogic practices. Statistical analysis was performed by paired t-test to examine the effect of yoga on cognitive flexibility and attention in university girls.There was a significant decrease in time taken to complete TMT part A (t= 4.33; P&amp;#60;0.05) and a significant increase in total attempts (t= -2.75; P&amp;#60;0.05) and net attempts (t=-2.80; P&amp;#60;0.01) in six letter cancellation test after three months of yoga practice.The results suggest that yoga improves visual search ability and motor speed skills and hence cognitive flexibility and attention in university girls.

The resolution of face perception varies systematically across the visual field.

Visual abilities tend to vary predictably across the visual field-for simple low-level stimuli, visibility is better along the horizontal vs. vertical meridian and in the lower vs. upper visual field. In contrast, face perception abilities have been reported to show either distinct or entirely idiosyncratic patterns of variation in peripheral vision, suggesting a dissociation between the spatial properties of low- and higher-level vision. To assess this link more clearly, we extended methods used in low-level vision to develop an acuity test for face perception, measuring the smallest size at which facial gender can be reliably judged in peripheral vision. In 3 experiments, we show the characteristic inversion effect, with better acuity for upright faces than inverted, demonstrating the engagement of high-level face-selective processes in peripheral vision. We also observe a clear advantage for gender acuity on the horizontal vs. vertical meridian and a smaller-but-consistent lower- vs. upper-field advantage. These visual field variations match those of low-level vision, indicating that higher-level face processing abilities either inherit or actively maintain the characteristic patterns of spatial selectivity found in early vision. The commonality of these spatial variations throughout the visual hierarchy means that the location of faces in our visual field systematically influences our perception of them.

Study on the relationship between fixation characteristics and hit rate in psychological procedure training of free throw.

Free throw is an important means of scoring in basketball games. With the improvement of basketball competition level and the enhancement of confrontation degree, the number of free throws in the game gradually increases, so the score of free throw will have an important impact on the result of the game. The purpose of this study is to explore the relationship between visual attention characteristics and hit rate of basketball players in free throw psychological procedure training, so as to provide scientific basis for basketball teaching and training. Forty players with similar free throw abilities were randomly assigned to the experimental group (10 males, 10 females) and control group (10 males, 10 females). The experimental group was free throw psychological procedure training, while the control group was trained with routine training, Eye movement indices (number of fixations, fixation duration, and pupil dilation) and the free throw hit rate and analyzed before and after the experiment. Group differences were examined using t-tests, while paired sample t-tests were conducted to compare pre- and post-test results within each group. The training time and training times of the two groups were the same. There were significant differences in fixation duration, number of fixations, pupil diameter and free throw hit rate between pre-test and post-test in the experimental group (P < 0.05). Post-test, there were significant differences in number of fixations, fixation duration, pupil diameter and free throw hit rate between the two groups (P < 0.05). There was a significant positive correlation between number of fixations and free throw hit rate in top (P < 0.01), and there was a significant positive correlation between fixation duration and hit rate in front (P < 0.01). The psychological procedure training can improve the visual information search strategy and information processing ability of free throw, and significantly improve the free throw hit rate. There was a positive correlation between the front fixation time and the free throw hit rate, and there was a positive correlation between the top number of fixations and the free throw hit rate.