A Bibliometric Analysis on Global Psychological and Behavioral Research Landscape on COVID-19 Pandemic

The COVID-19 pandemic outbreak in December 2019 has spread globally. The ongoing psychological and behavioral effects of the COVID-19 pandemic, which poses a major challenge to humanity, are of concern to researchers. To understand the academic community’s attention, focus and research collaboration on psychological and behavioral research during the COVID-19 pandemic, we conducted a macro analysis using a bibliometric approach. Using the topic selection strategy of TS = (“COVID-19” OR “coronavirus disease 2019” OR “SARS-CoV-2” OR “2019-nCoV”) AND TS = (“behavio*”) AND TS = (“psycholog*”), 2096 high-quality research articles and reviews were downloaded as data from the Web of Science core collection on 16 November 2021. Through analysis and visualization, the following conclusions are drawn in this study: (1) The popularity and importance of psychological and behavioral research under COVID-19 has increased significantly and needs further attention; (2). Related research focuses on eight hotspots, with quarantine, health care workers, the elderly, students, pregnant women, family, consumers, social media and emergency preparedness knowledge as the focus of the research object; and (3) Research collaboration is relatively high at the author, organizational and national levels. However, low-income countries need to get more attention. Furthermore, this article would help researchers make decisions for the research of psychological and behavioral issues under COVID-19 and planning for future prospects to contribute to academic development and applied methodology.

Eye-tracking as a proxy for coherence and complexity of texts

Reading is a complex cognitive process that involves primary oculomotor function and high-level activities like attention focus and language processing. When we read, our eyes move by primary physiological functions while responding to language-processing demands. In fact, the eyes perform discontinuous twofold movements, namely, successive long jumps (saccades) interposed by small steps (fixations) in which the gaze “scans” confined locations. It is only through the fixations that information is effectively captured for brain processing. Since individuals can express similar as well as entirely different opinions about a given text, it is therefore expected that the form, content and style of a text could induce different eye-movement patterns among people. A question that naturally arises is whether these individuals’ behaviours are correlated, so that eye-tracking while reading can be used as a proxy for text subjective properties. Here we perform a set of eye-tracking experiments with a group of individuals reading different types of texts, including children stories, random word generated texts and excerpts from literature work. In parallel, an extensive Internet survey was conducted for categorizing these texts in terms of their complexity and coherence, considering a large number of individuals selected according to different ages, gender and levels of education. The computational analysis of the fixation maps obtained from the gaze trajectories of the subjects for a given text reveals that the average “magnetization” of the fixation configurations correlates strongly with their complexity observed in the survey. Moreover, we perform a thermodynamic analysis using the Maximum-Entropy Model and find that coherent texts were closer to their corresponding “critical points” than non-coherent ones, as computed from the Pairwise Maximum-Entropy method, suggesting that different texts may induce distinct cohesive reading activities.

MAGNet: A Camouflage Object Detection Network Simulating The Observation Effect of Magnifier

In recent years, protecting important objects by simulating animal camouflage has been widely used in many fields. Therefore, the Camouflaged Object Detection (COD) technology has emerged. COD is more difficult than traditional target detection techniques because of the high degree of fusion of camouflaged objects with the background. In this paper, we strive to identify camouflaged objects more accurately. Inspired by humans using a magnifier to search for hidden objects in pictures, we propose a COD network that simulates the observation effect of a magnifier, termed Magnifier Network (MAGNet). Specifically, our MAGNet contains two parallel modules, i.e., Ergodic Magnify module (EMM) and Attention Focus module (AFM). The EMM is designed to mimic the magnifying process of a magnifier ergodicing an image, and the AFM is used to perform the observation process in which human attention is highly focused for focusing on a region. The two sets output camouflaged object maps are merged to achieve the effect of simulating the observation of the object by a magnifier. Extensive experiments demonstrate that compared with 14 cutting-edge detection models, the MAGNet can achieve the best comprehensive effect of 8 evaluation indicators on the public COD dataset, and the segmentation accuracy is significantly improved.

Novel Techniques for Anticipating the Focus of Visual Attention across Different Mining Landscapes

Surface mining activities support socioeconomic development but also cause significant landscape alteration and degradation. By definition, the concept of landscape requires observers; thus, the way mining landscapes are actually observed needs to be taken into consideration for mitigating visual nuisance from open pit mines. This paper utilizes eye tracking techniques for recording and rendering the actual attention patterns of observers, along with saliency models that ‘predict’ the focus of attention in mining landscape photographs. As it turns out, saliency models can aid in reliably anticipating the attention focus across a range of different mining landscapes.

Semantically Congruent Bimodal Presentation with Divided-Modality Attention Accelerates Unisensory Working Memory Retrieval

Although previous studies have shown that semantic multisensory integration can be differentially modulated by attention focus, it remains unclear whether attentionally mediated multisensory perceptual facilitation could impact further cognitive performance. Using a delayed matching-to-sample paradigm, the present study investigated the effect of semantically congruent bimodal presentation on subsequent unisensory working memory (WM) performance by manipulating attention focus. The results showed that unisensory WM retrieval was faster in the semantically congruent condition than in the incongruent multisensory encoding condition. However, such a result was only found in the divided-modality attention condition. This result indicates that a robust multisensory representation was constructed during semantically congruent multisensory encoding with divided-modality attention; this representation then accelerated unisensory WM performance, especially auditory WM retrieval. Additionally, an overall faster unisensory WM retrieval was observed under the modality-specific selective attention condition compared with the divided-modality condition, indicating that the division of attention to address two modalities demanded more central executive resources to encode and integrate crossmodal information and to maintain a constructed multisensory representation, leaving few resources for WM retrieval. Additionally, the present finding may support the amodal view that WM has an amodal central storage component that is used to maintain modal-based attention-optimized multisensory representations.

Persepsi Dokter Hewan Praktisi Hewan Kecil terhadap Telemedicine di Masa Pandemi Covid-19

Telemedicine is defined as remote diagnose and patient care using telecommunications technology. Recently telemedicine technology was introduced to the field of veterinary medicine. Due to the nature of telecommunications, a veterinarian will utilize telemedicine technology as a means of assessing patient severity and providing medical advice. The perception of veterinarians, especially small animal practitioners, to telemedicine is influenced by many factors, for example: age, desire (expectation), attention (focus), information obtained, and other factors. This study aims to determine the factors that influence veterinarians' perceptions of telemedicine. This research is expected to be an input in implementing telemedicine in practice. The design of this study is descriptive method, where the sampling method uses a questionnaire filled out by small animal practitioners online. The results showed that the pandemic had no impact on veterinary services. But there is an adaptation of practice procedure. Respondents are neutral towards the application of telemedicine, but the majority of respondents who have implemented telemedicine think that the application of telemedicine has a good impact on health services. There are many obstacles felt by respondents in implementing telemedicine.

Variable rather than extreme slow reaction times distinguish brain states during sustained attention

A common behavioral marker of optimal attention focus is faster responses or reduced response variability. Our previous study found two dominant brain states during sustained attention, and these states differed in their behavioral accuracy and reaction time (RT) variability. However, RT distributions are often positively skewed with a long tail (i.e., reflecting occasional slow responses). Therefore, a larger RT variance could also be explained by this long tail rather than the variance around an assumed normal distribution (i.e., reflecting pervasive response instability based on both faster and slower responses). Resolving this ambiguity is important for better understanding mechanisms of sustained attention. Here, using a large dataset of over 20,000 participants who performed a sustained attention task, we first demonstrated the utility of the exGuassian distribution that can decompose RTs into a strategy factor, a variance factor, and a long tail factor. We then investigated which factor(s) differed between the two brain states using fMRI. Across two independent datasets, results indicate unambiguously that the variance factor differs between the two dominant brain states. These findings indicate that ‘suboptimal’ is different from ‘slow’ at the behavior and neural level, and have implications for theoretically and methodologically guiding future sustained attention research.