Perceptual Abilities Research Articles

Asymmetric Large Kernel Distillation Network for efficient single image super-resolution

Recently, significant advancements have been made in the field of efficient single-image super-resolution, primarily driven by the innovative concept of information distillation. This method adeptly leverages multi-level features to facilitate high-resolution image reconstruction, allowing for enhanced detail and clarity. However, many existing approaches predominantly emphasize the enhancement of distilled features, often overlooking the critical aspect of improving the feature extraction capabilities of the distillation module itself. In this paper, we address this limitation by introducing an asymmetric large-kernel convolution design. By increasing the size of the convolution kernel, we expand the receptive field, which enables the model to more effectively capture long-range dependencies among image pixels. This enhancement significantly improves the model's perceptual ability, leading to more accurate reconstructions. To maintain a manageable level of model complexity, we adopt a lightweight architecture that employs asymmetric convolution techniques. Building on this foundation, we propose the Lightweight Asymmetric Large Kernel Distillation Network (ALKDNet). Comprehensive experiments conducted on five widely recognized benchmark datasets-Set5, Set14, BSD100, Urban100, and Manga109-indicate that ALKDNet not only preserves efficiency but also demonstrates performance enhancements relative to existing super-resolution methods. The average PSNR and SSIM values show improvements of 0.10 dB and 0.0013, respectively, thereby achieving state-of-the art performance.

Better face-name recall is associated with better face recognition ability.

Face recognition is a highly developed and specialised human ability, distinct from other cognitive abilities. Previous studies examining individual differences in face recognition have focused on face perception and specialised perceptual mechanisms such as holistic face processing. However, the contribution of specific face memory processes to face recognition ability remains unclear. In 99 neurotypical individuals, we administered validated face perception assessments, three face memory tasks (old/new task, face-scene task, face-name/occupation task), and the Cambridge Face Memory Test (CFMT) to assess face recognition ability. We found that after accounting for face perception ability (which significantly predicted face recognition ability), face-name recall and recollection of faces in the face-scene task predicted unique variance in face recognition ability, with face-name recall being the strongest predictor. This highlights that associative memory mechanisms contribute to face recognition abilities and suggests that the ability to learn and recall proper names is particularly important to face recognition.

Sex differences in the human brain related to visual motion perception

Abstract Background Previous studies have found that the temporal duration required for males to perceive visual motion direction is significantly shorter than that for females. However, the neural correlates of such shortened duration perception remain yet unclear. Given that motion perception is primarily associated with the neural activity of the middle temporal visual complex (MT+), we here test the novel hypothesis that the neural mechanism of these behavioral sex differences is mainly related to the MT+ region. Methods We utilized ultra-high field (UHF) MRI to investigate sex differences in the MT+ brain region. A total of 95 subjects (48 females) participated in two separate studies. Cohort 1, consisting of 33 subjects (16 females), completed task-fMRI (drafting grating stimuli) experiment. Cohort 2, comprising 62 subjects (32 females), engaged in a psychophysical experiment measuring motion perception along different temporal thresholds as well as conducting structural and functional MRI scanning of MT+. Results Our findings show pronounced sex differences in major brain parameters within the left MT+ (but not the right MT+, i.e., laterality). In particular, males demonstrate (i) larger gray matter volume (GMV) and higher brain’s spontaneous activity at the fastest infra-slow frequency band in the left MT+; and (ii) stronger functional connectivity between the left MT+ and the left centromedial amygdala (CM). Meanwhile, both female and male participants exhibited comparable correlations between motion perception ability and the multimodal imaging indexes of the MT+ region, i.e., larger GMV, higher brain’s spontaneous activity, and faster motion discrimination. Conclusions Our findings reveal sex differences of imaging indicators of structure and function in the MT+ region, which also relate to the temporal threshold of motion discrimination. Overall, these results show how behavioral sex differences in visual motion perception are generated, and advocate considering sex as a crucial biological variable in both human brain and behavioral research.

Climate Change Perception, Climate Change Anxiety, & Pro-environmental Behaviors of Tertiary Students

The Philippines is one of the most climate change-vulnerable countries in the world. As the climate crisis pose physical and mental threats, it is crucial to understand the factors affecting environmental behavior. However, local studies on the role of Psychology in encouraging pro-environmental behaviors (PEB) appear to be few in the Philippines. This study was designed to determine the level and the predictive ability of climate change perception (CCP) and climate change anxiety (CCA) on PEB. A stepwise regression analysis was used on data collected from 430 stratified randomly sampled tertiary students in Bacolod city, Philippines who completed the Climate Change Perception Scale, Climate Change Anxiety Scale, and Pro-environmental Behavior Scale. Results showed that the parsimonious model that include climate change anxiety (t=13.585, p=.000) and climate change perception (t=6.409, p=.000) significantly predicted pro-environmental behaviors F(1, 426) = 115.284, p < .001, adj. R2 = .349. Further, findings indicate that 34.9% of the variance in the pro-environmental behaviors can be explained by the model. In conclusion, when tertiary students experience higher levels of climate change anxiety and perceive climate change as a significant threat, they are more likely to engage in pro-environmental behaviors. Results suggest a need for further research in determining other factors that predict PEB. This study contributes to the scarce literature on Environmental Psychology in the country.

Speech Perception Ability and Subjective Satisfaction After Upgrade of Speech Processor in Cochlear Implantation

Objective: Cochlear implant (CI) users face the decision of whether to upgrade to a new sound processor (SP) with technological advances. We wanted to assess the changes of speech perception ability and aided hearing thresholds as well as subjective satisfaction after upgrade to a new SP. Methods: Fifty-five patients who have used CI for 10 years or more and upgraded to a new SP were enrolled. Word recognition scores were assessed before the upgrade and compared to those assessed 1 year after the upgrade to the Nucleus 7 SP. Changes of aided hearing thresholds and C- and T-levels were analyzed. Results: Previous SPs were 3G in 5, Freedom in 40, N5 in 24, and N6 in 6. Speech perception remained relatively unaffected by SP upgrade. The C- and T-levels increased after SP upgrading and the aided thresholds with previous generation SPs were higher than those 1 year after SP upgrading at all frequencies. In questionnaires, subjects felt that there was a definite subjective benefit to upgrading while most (60%) felt no difference regarding the communication in noise. Conclusions: Speech perception remained similar, but there were improved hearing sensitivity and better satisfaction after SP upgrade.

Object detection and tracking for drones: A system design using dynamic visual SLAM

Abstract. Drones can play a quite crucial role in many walks of life today. Enhancing the visual perception ability of drones is crucial to their intelligence level. Among them, it is necessary to focus on strengthening the detection, tracking and mapping capabilities of drones for dynamic objects. However, the existing visual SLAM systems carried by drones do not perform well in dynamic environments. This project designs a monocular visual SLAM system specifically for drones, aiming to achieve efficient three-dimensional mapping and target tracking, surpassing the limitations of simple static mapping and positioning. Besides, this project constructs a drone dynamic SLAM system developed on the ORB-SLAM3 structure, uses drone images to detect, track and map object motion models, and reconstructs environmental maps to obtain motion parameters with real physical scales. This project strives to optimize the input pre-processing module, improve the validity of data and output environmental maps and raster maps. The outcomes demonstrate the system's strong accuracy and adaptability in dynamic installation procedures.

Ideological identity: worldviews and values are self-defining

ABSTRACT This research investigated whether ideological attitudes (beliefs about religion, social justice) are central to the self-concept. Participants rated ideological attitudes as more self-defining than relevant attitudes (about family, hometown), even though were liked equally (Study 1). Ideological attitudes were as self-defining as attitudes that were personally meaningful, even though the latter were liked more and more psychologically valuable (Study 2). In Study 3, participants reported that if they changed their ideological attitudes or their moral traits (honesty, generosity), they would see themselves as a different person more than if they changed their attitudes about relevant attitudes and their perceptual abilities (hearing, pain tolerance). These studies underscore the important role of ideological attitudes to the self-concept.

Are Boards Sensitive to CEO Masculinity? The Effect of CEO Facial and Vocal Masculinity on CEO Dismissal

AbstractDrawing on evolutionary psychology theorizing, this paper examines how chief executive officer (CEO) facial and vocal masculinity – as evolved biases shaping peoples' perceptions of an individual's leadership ability – influence boards' dismissal decisions. Specifically, we theorize that boards are likely to perceive CEO facial and vocal masculinity as costly to the firm, as they signal aggression, dominance, and risk‐taking – traits that are only valued in the narrow context of conflict. Based on this reasoning, we argue that CEO facial and vocal masculinity will be positively related to CEO dismissal. Further, we develop contingency arguments which suggest that CEO facial and vocal masculinity will interact with analysts' evaluation of firm performance to jointly influence CEO dismissal. We test and find support for our predictions using a panel dataset of CEOs from S&P 1500 firms.

Assessing Cognitive and Perceptual Abilities in Imaginative and Mainstream Elementary Schools: A Case Comparison

This study investigates the impact of imaginative pedagogy on the cognitive and perceptual abilities of elementary school students aged 7-8, using a case comparison approach. Focusing on a Waldorf school as a case for imaginative education and a mainstream Greek school, the research examines abilities including Spatial, Linguistic, Kinesthetic, Naturalistic, Mathematical and Musical. The study utilized a mixed method consisting of playful assessment activities and classroom observations to evaluate these abilities comprehensively. The findings reveal that students in the Waldorf school demonstrate significant advantages in the Spatial, Linguistic, Kinesthetic and Naturalistic areas, attributed to the school's imaginative teaching methods. More specifically, imaginative pedagogy is shown to resonate well with competences related to physical activities, language processing, understanding of the natural world, and visual-spatial reasoning. In contrast, there are no significant differences in Math-Logic and Musical abilities between the two school types, despite the traditional emphasis on language and mathematics in mainstream Greek schools. The study highlights the potential benefits of imaginative pedagogy for holistic cognitive development, suggesting its applicability in mainstream education.

DMFR-YOLO: An Infrared Small Hotspot Detection Algorithm Based On Double Multi-scale Feature Fusion

Abstract Hotspot automatic detection is an effective strategy to realize intelligent maintenance of photovoltaic modules. However, it is challenging to detect small hotspots accurately using deep learning-based object detection methods due to the weak information and small area of the target. This study presents a double multi-scale feature reconstruction (DMFR)-YOLO to detect small hotspots in PV modules. In the proposed DMFR-YOLO, the backbone of YOLOv8n is improved by eliminating redundant deep layers and introducing a shallow detection head to enhance its perception and recognition ability for small objects. Moreover, a weighted multi-layer feature reconstruction module is introduced to fuse the features of different depths and a multi-receptive field reconstruction module is designed to fuse the information of different receptive fields. Finally, ablation and comparison experiments are conducted to evaluate the performance of the proposed method. The model with both MLFR and MRFR can achieve a recall rate of 88.6%, with a mean average precision (mAP@0.5) of 93.3%. Experimental results demonstrate that the proposed DMFR-YOLO is able to achieve small hotspot detection in IR images with high accuracy.

All is not equal: Public perception of cognitive abilities, suffering and emotional attachment in different pet species

All is not equal: Public perception of cognitive abilities, suffering and emotional attachment in different pet species

Visual Perceptual Confidence: Exploring Discrepancies Between Self-reported and Actual Distance Perception In Virtual Reality.

Virtual Reality (VR) systems are widely used, and it is essential to know if spatial perception in virtual environments (VEs) is similar to reality. Research indicates that users tend to underestimate distances in VR. Prior work suggests that actual distance judgments in VR may not always match the users self-reported preference of where they think they most accurately estimated distances. However, no explicit investigation evaluated whether user preferences match actual performance in a spatial judgment task. We used blind walking to explore potential dissimilarities between actual distance estimates and user-selected preferences of visual complexities, VE conditions, and targets. Our findings show a gap between user preferences and actual performance when visual complexities were varied, which has implications for better visual perception understanding, VR applications design, and research in spatial perception, indicating the need to calibrate and align user preferences and true spatial perception abilities in VR.

Research on Navigation Risk Assessment of Unmanned Ship Under Complex Navigation Conditions

With the research on unmanned ships conducted by the International Maritime Organization, the European Union and China, the navigation risk of unmanned ships has become a hot topic around the world. Based on the research and development history and current situation of unmanned ships at home and abroad, focusing on the three key elements of “Unmanned Ship, shore-based control personnel, external navigation environment”, this study establishes a navigation risk index system for unmanned ships under complex navigation conditions, considering the particularity of the unmanned ship, its perception ability, environmental understanding, situation judgment, communication ability and other indicators. The analytic hierarchy process is used to solve the weight of all kinds of navigation risk factors, and a consistency test of the established index system is carried out. Through expert investigation, the fuzzy membership set of risk indexes is established, and a fuzzy comprehensive evaluation model is established to evaluate the navigation risk of unmanned ships under complex navigation conditions. To avoid the situation of single-factor information being inundated, this study adopts the method of fuzzy comprehensive evaluation from a low level to a high level, and it verifies the algorithm through cases, which proves the validity and rationality of the proposed risk assessment method.

Auditory perceptual ability affects dichotic listening performance in older adults

ABSTRACT Age-related changes pose challenges in speech processing for older adults. However, little is known about the role of auditory perceptual ability in their performance in dichotic listening tasks. The present study investigated how older adults’ auditory perceptual abilities affected their correct rates and the right ear advantage (REA) in the dichotic listening tasks in two experiments. In Experiment 1, older adults’ performance was assessed using dichotic listening tasks based on consonant–vowel (CV) words varying in consonants, vowels, and lexical tones, each presenting distinct auditory perceptual demands. It was found that older adults exhibited decreased correct rates as auditory perceptual demands increased. Moreover, differences in the REA were observed in older listeners, suggesting increased engagement of the hemisphere responsible for acoustic analysis in processing challenging dichotic stimuli. Experiment 2 examined how older individuals’ acoustic processing abilities contributed to their dichotic listening performance. It was shown that older adults with acoustic processing abilities comparable to those of younger individuals demonstrated correct rates and REAs similar to those of younger cohorts. These results revealed the nonnegligible role of acoustic processing in the dichotic listening paradigm and the significance of considering listeners’ auditory perceptual abilities in investigating language lateralisation using the dichotic listening paradigm.

How to improve the effectiveness of the cooperation networks of emergency science communication for public health emergencies

Emergency science communication is an important emergency activity that can enhance public safety awareness and risk perception ability, optimize health-protective behaviors, and reduce losses from emergencies. Certainly, emergency science communication needs to be multisource information and cross-organization. Moreover, increasing cooperation in emergency science communication is the key to improving the effectiveness of science communication in public health emergencies. To clarify the cooperation relationships among emergency organizations in emergency science communication, emergency science communication cooperation networks (ESCCNs) are constructed on the basis of the social network analysis method, and the practice of emergency science communication in response to COVID-19 in China is taken as the case. Through an interpretation of the characteristics of ESCCNs in the emergency response phase and the ongoing emergency phase, the differences in the cooperation modes of public health emergencies in different phases are analyzed. Moreover, the influence of different emergency phases on the formation of the ESCCN of the whole phase is discussed. With the evolution of the emergency phase, the network tightness, equilibrium and connectivity of the ESCCN all tend to increase, whereas network agglomeration decreases. In the emergency response phase, the core-edge features of the ESCCN are obvious, and emergency science communication organizations (ESCOs) are more inclined to form emergency science communication cooperation with other ESCOs of the same type. However, in the ongoing emergency phase, the cooperation relationships between ESCOs are more balanced, and more diversified cross-group cooperation relationships are formed. The diversification of ESCO types, the closeness of ESCO relationships and the connectivity of ESCCNs are the main factors that promote the formation of the ESCCN of the whole phase. Furthermore, implications for strengthening the efficiency of science popularization cooperation in public health emergencies are proposed in connection to matching dynamic characteristics, optimizing resource allocation and strengthening institutional guarantees.

Altered resting-state connectivity of the auditory cortex in congenital amusia: A functional magnetic resonance imaging study in Mandarin speakers.

Brain imaging studies have reported that the neural deficits of congenital amusia in non-tonal language speakers are mainly in the connectivity between the auditory cortex and the inferior frontal gyrus (IFG) in the right hemisphere. However, the relationship between the functional connectivity (FC) in these regions and the music perception ability of amusia in tonal language speakers remains unclear. In this study, we investigated the FC characteristics of amusia in Mandarin speakers in resting-state functional magnetic resonance imaging data by voxel-wise connectivity analyses with seeds in left and right Heschl's gyri (HG) and region of interest (ROI)-to-ROI connectivity analyses. Our findings indicate increased connectivity between right HG and bilateral posterior superior temporal gyrus, as determined by voxel-wise connectivity analyses in amusia. Conversely, reduced connectivity was observed between bilateral HG and bilateral IFG (orbital part) as assessed through ROI-to-ROI connectivity analyses in amusia when compared to controls. Moreover, the music perception scores of amusia in Mandarin speakers were associated with diminished connectivity between the left HG and the right IFG. This study furnishes direct evidence for the link between music perception deficits and the aberrant frontotemporal connectivity of congenital amusia in tonal language speakers in resting state.

INNOVATIVE FOOTWEAR DESIGN FOR AUTISTIC INDIVIDUALS: MERGING AESTHETICS AND SENSORY NEEDS

The integration of repetitive visual patterns and geometric shapes in footwear design for autistic individuals presents an innovative approach that transcends mere aesthetics. This strategy aims to address the sensory and emotional needs of users, highlighting the importance of visual stimuli in promoting focus and mental organization—key elements for those facing sensory challenges. Research indicates that emphasizing symmetry and repetition in design can create visually pleasing footwear while also facilitating better concentration. Various studies suggest that the perceptual abilities and visual processing strategies of autistic individuals can be harnessed to foster richer and more effective learning experiences, aiding in the development of essential social and cognitive skills. Furthermore, the selection of comfortable materials and the consideration of ergonomic design are crucial to ensure that the shoes are not only visually appealing but also functional and comfortable for everyday wear. By focusing on these aspects, footwear can serve as more than just a fashion statement; it can become a tool for enhancing the quality of life for autistic individuals. The thoughtful combination of art, comfort, and sensory experience in shoe design promotes inclusion and celebrates the uniqueness of each individual. This approach fosters a deep connection between the user and the product, ultimately contributing to a more supportive and understanding environment for those on the autism spectrum.

Exploring the Mechanisms and Functions of the Impact of Ketamine on Spatial Orientation Decision Making

The aim of the study is to explore the impact of ketamine on sound perception and spatial orientation decision making, and the mechanism of how ketamine impacts perception and decision abilities. The methods used include behavioral and histology approaches. From the results, it can be concluded one of the brain regions affected by ketamine is TeA(temporal association area), which plays a vital role in sound perception and spatial orientation. An unexpected finding is that ketamine impacts left turning and right turning decisions at different degree, which requires further research on ketamine’s different impact on two cerebral hemispheres. In all, the study’s findings help people further understand how ketamine impacts spatial and sound perception.

Multimodal flexible electronic skin with adjustable module size for robot collision detection

Purpose This paper aims to present a modular multimodal flexible electronic skin that can be used for robot collision detection in human–robot interactions. This type of electronic skin will meet the requirements of performance indicators such as sensing mode, sensing domain coverage and dynamic data update rate in human–robot interactions. Design/methodology/approach The electronic skin uses a modular architecture, and the sensing module is designed to be adjustable in size so that it can be easily deployed on complex robot surfaces, increasing area coverage, reducing power consumption, and improving data update rates. Findings The authors evaluated electronic skin through experiments using a UR5 robot. Electronic skin has high static scene perception differentiation and dynamic scene perception abilities. Moreover, the robot realizes a high-speed collision response based on the electronic skin proposed in this study. Originality/value The proposed electronic skin provides crucial technical support for advancing robotic technologies, and holds promising prospects for industrial applications.

Towards Human Sensory Augmentation: A Cognitive Neuroscience Framework for Evaluating Integration of New Signals within Perception, Brain Representations, and Subjective Experience

New wearable devices and technologies provide unprecedented scope to augment or substitute human perceptual abilities. However, the flexibility to reorganize brain processing to use novel sensory signals during early sensitive periods in infancy is much less evident at later ages, making integration of new signals into adults’ perception a significant challenge. We believe that an approach informed by cognitive neuroscience is crucial for maximizing the true potential of new sensory technologies. Here, we present a framework for measuring and evaluating the extent to which new signals are integrated within existing structures of perception and experience. As our testbed, we use laboratory tasks in which healthy volunteers learn new, augmented perceptual-motor skills. We describe a suite of measures of (i) perceptual function (psychophysics), (ii) neural representations (fMRI/decoding), and (iii) subjective experience (qualitative interview/micro-phenomenology) targeted at testing hypotheses about how newly learned signals become integrated within perception and experience. As proof of concept, we provide example data showing how this approach allows us to measure changes in perception, neural processing, and subjective experience. We argue that this framework, in concert with targeted approaches to optimizing training and learning, provides the tools needed to develop and optimize new approaches to human sensory augmentation and substitution.