Perceptual Behavior Research Articles

Responsive integration performed by laser-induced Er3+ structural doping and graphene nanoplatelets

Laser-induced preparation method has the advantages of high efficiency, high yield, no ionic diffusion restriction and competitive side reaction, which can prepare diversified composite materials based on small-scale and distributed characteristics. Besides, integrating multiple performance and conducting inductive feedback are helpful for the reliability and calibration of laser-induced materials in the precision field. Herein, responsive integration is designed based on graphene nanoplatelets/ZnSe:Er3+ composite with optical, electrical, thermal and visual properties for real-time feedback. Er3+ ions doped ZnSe is obtained by fast laser-induced method, combined with two-dimensional graphene nanoplatelets and assembled into temperature-sensitive polyimide and cellulose paper, realizing the characteristics of photoelectric conversion and photothermal conversion. Besides, red fluorescence guiding perceptual behavior can also be produced under the radiation of NIR laser. Based on the proposed composite, bionic flower is constructed, and exhibits good motion features in blooming. Meanwhile, large curvature bending, high thermal sensitivity and strong fluorescence emission are also revealed. Such performance combination design provides a convenient approach for multi signals cross feedback in soft actuator, which strengthens the monitoring and guidance of motion perceptions, and can be potentially applied in diversified fields.

Neuroimaging Findings for the Overnight Consolidation of Learned Non-native Speech Sounds

Abstract Research over the past two decades has documented the importance of sleep to language learning. Sleep has been suggested to play a role in establishing new speech representations as well; however, the neural mechanisms corresponding to sleep-mediated effects on speech perception behavior are unknown. In this study, we trained monolingual English-speaking adults to perceive differences between the Hindi dental vs. retroflex speech contrast in the evening. We examined the blood oxygen level dependent signal using functional magnetic resonance imaging during perceptual tasks on both the trained talker and on an untrained talker shortly after training, and again the next morning. We also employed diffusion tensor imaging to determine if individual differences in white matter structure could predict variability in overnight consolidation. We found greater activity in cortical regions associated with language processing (e.g., left insula) on the second day. Fractional anisotropy values in the anterior thalamic radiation and the uncinate fasciculus was associated with the magnitude of overnight change in perceptual behavior on the generalization (untrained) talker, after controlling for differences in sleep duration and initial learning. Our findings suggest that speech-perceptual information is subject to an overnight transfer of information to the cortex. Moreover, neural structure appears to be linked to individual differences in efficiency of overnight consolidation.

The development of a dietary nutrient density educational tool and the investigation of its acceptance by Chinese residents from Henan province

ObjectivesHelping residents select nutrient-dense foods is a strategy to improve their diet quality. However, communication based on the nutrient-dense foods as a positive attribute has not been widely used in nutritional education. This study aimed to develop an educational tool based on the picture and guidance of “Chinese food guide pagoda (2022) “, extend it with the concept of nutrient density, and investigate its acceptance by Chinese residents from Henan province.MethodsThree examples (one-day diet with high, medium, and low nutrient-rich food (NRF) 9.2 score, an indicator for evaluating dietary nutrient density) were designed for developing a dietary nutrient density educational tool. A self-designed questionnaire was conducted to investigate the acceptance of the “dietary nutrient density educational tool” among college students from Henan province on the basis of the theory of planned behavior.ResultsAmong the three one-day diets used in the tool, with the decrease in the NRF9.2 score, the energy intake increased from 1686 kcal to 2363 kcal, the dietary fat-to-energy ratio increased from 28 to 42%, and the mean adequacy ratio (MAR) decreased from 0.97 to 0.87. A total of 851 college students completed the acceptance questionnaire. The average score of the acceptance was 4.07, with a total score of 5. This study showed that resident’s intention to use the tool was correlated with family residence, perceptual behavior control, and subjective norms. These three factors accounted for 83.5% of the variation in behavior intention.ConclusionTo encourage residents choosing healthier foods, a dietary nutrient density educational tool was developed to expanding the current instructional tool—the Chinese food guide pagoda (2022). The acceptance questionnaire survey revealed that residents had good acceptance of the tool, and family residence, perceptual behavior control, subjective norms may strongly contribute to their acceptance and the intention to use of the tool.

From color naming to color perception: Cross‐linguistic differences of the chromatic information processing in monolingual and bilingual speakers

AbstractThere has been long running debate about the interaction of language and perception. In this context, bilingual people have often shown benefits, due to their double‐active linguistic system, in cognitive functions, like inhibition, attention, and memory, which are central for visual perception. Color naming and categorization are domains for studying cross‐linguistic effects, which arise from conceptual and perceptual variations across speakers of different languages. In this study, we compared the ‘blue’ lexicon of highly proficient French‐Italian bilinguals to monolingual speakers of the corresponding languages. Prior studies have shown that Italian has two basic color terms for the blue area of color space: one denotes light blue hues (azzurro) and the other dark blue hues (blu), whilst French, with only one basic term bleu, lacks this distinction. We used a Stroop test to probe differences in perception and categorization of blue in bi‐ and monolingual speakers. We found that Italian monolinguals name the ink color more accurately and more rapidly when the word blu is rendered in dark blue ink (corresponding to the word blu) than when it is printed in light blue ink (corresponding to azzurro), since the latter represents an incongruent condition for them. This ‘category effect’ does not exist for French monolingual speakers. Our bilinguals' results demonstrate that, despite the emergence of a specific in‐between perceptual behavior, bilinguals generally performed like Italian monolinguals. These outcomes confirm the hypothesis that their second language categories (Italian) dominate their native language (French), attesting that lexical distinctions influence perceptual faculties in general. However, the ratio of the interference effect (longer reaction times for incongruent stimuli compared to control stimuli) and the facilitation effect (shorter reaction times for congruent stimuli compared to control stimuli) is not the same for bilinguals and monolinguals. The highest magnitude in the facilitation effect was revealed for bilinguals, whereas the highest magnitude in the interference effect was revealed for Italian monolingual speakers. This phenomenon adds evidence to the existence of enhanced bilingual cognitive control abilities.

PsySuite: An android application designed to perform multimodal psychophysical testing.

In behavioral sciences, there is growing concern about the inflation of false-positive rates due to the amount of under-powered studies that have been shared in the past years. While problematic, having the possibility to recruit (lots of) participants (for a lot of time) is realistically not achievable for many research facilities. Factors that hinder the reaching of optimal sample sizes are, to name but a few, research costs, participants' availability and commitment, and logistics. We challenge these issues by introducing PsySuite, an Android app designed to foster a remote approach to multimodal behavioral testing. To validate PsySuite, we first evaluated its ability to generate stimuli appropriate to rigorous psychophysical testing, measuring both the app's accuracy (i.e., stimuli's onset, offset, and multimodal simultaneity) and precision (i.e., the stability of a given pattern across trials), using two different smartphone models. We then evaluated PsySuite's ability to replicate perceptual performances obtained using a classic psychophysical paradigm, comparing sample data collected with the app against those measured via a PC-based setup. Our results showed that PsySuite could accurately reproduce stimuli with a minimum duration of 7ms, 17ms, and 30ms for the auditory, visual, and tactile modalities, respectively, and that perceptual performances obtained with PsySuite were consistent with the perceptual behavior observed using the classical setup. Combined with the high accessibility inherently supported by PsySuite, here we ought to share the app to further boost psychophysical research, aiming at setting it to a cheap, user-friendly, and portable level.

A distinct circuit for biasing visual perceptual decisions and modulating superior colliculus activity through the mouse posterior striatum.

The basal ganglia play a key role in visual perceptual decisions. Despite being the primary target in the basal ganglia for inputs from the visual cortex, the posterior striatum's (PS) involvement in visual perceptual behavior remains unknown in rodents. We reveal that the PS direct pathway is largely segregated from the dorsomedial striatum (DMS) direct pathway, the other major striatal target for visual cortex. We investigated the role of the PS in visual perceptual decisions by optogenetically stimulating striatal medium spiny neurons in the direct pathway (D1-MSNs) of mice performing a visual change-detection task. PS D1-MSN activation robustly biased visual decisions in a manner dependent on visual context, timing, and reward expectation. We examined the effects of PS and DMS direct pathway activation on neuronal activity in the superior colliculus (SC), a major output target of the basal ganglia. Activation of either direct pathway rapidly modulated SC neurons, but mostly targeted different SC neurons and had opposite effects. These results demonstrate that the PS in rodents provides an important route for controlling visual decisions, in parallel with the better known DMS, but with distinct anatomical and functional properties.

The neural network RTNet exhibits the signatures of human perceptual decision-making.

Convolutional neural networks show promise as models of biological vision. However, their decision behaviour, including the facts that they are deterministic and use equal numbers of computations for easy and difficult stimuli, differs markedly from human decision-making, thus limiting their applicability as models of human perceptual behaviour. Here we develop a new neural network, RTNet, that generates stochastic decisions and human-like response time (RT) distributions. We further performed comprehensive tests that showed RTNet reproduces all foundational features of human accuracy, RT and confidence and does so better than all current alternatives. To test RTNet's ability to predict human behaviour on novel images, we collected accuracy, RT and confidence data from 60 human participants performing a digit discrimination task. We found that the accuracy, RT and confidence produced by RTNet for individual novel images correlated with the same quantities produced by human participants. Critically, human participants who were more similar to the average human performance were also found to be closer to RTNet's predictions, suggesting that RTNet successfully captured average human behaviour. Overall, RTNet is a promising model of human RTs that exhibits the critical signatures of perceptual decision-making.

Research on Low Carbon Consumption Intention Survey and Incentive Mechanism under the Dual Carbon Goal

In order to explore residents' low carbon consumption intention, this paper constructs a model of the influencing factors of low carbon consumption willingness through multiple linear regression with the help of planning behavior theory, and studies the incentive mechanism of carbon credits according to the model results. The results show that low carbon consumption behavior attitude, subjective norm and perceptual behavior control all have a positive impact on low carbon consumption intention, and the three independent variables can explain 77.1% of the changes in the dependent variable, among which perceptual behavior control has the greatest impact. Based on the results of the model, this paper briefly studies the incentive mechanism of carbon credits, and finally puts forward some reasonable suggestions for low carbon consumption based on the actual situation, so as to actively respond to and promote low carbon consumption actions.

Priorities and potential challenges of sustainable management of ultra-deep groundwater resources in Iran

The water crisis in Iran, and the large share of water allocated to the agricultural sector from groundwater resources has led to access to ultra-deep groundwater (UDGW) resources. Exploration projects have confirmed the presence of UDGW sources of fault origin in Iran. Deciding on the sustainable extraction of UDGW resources is very challenging. In order to better understand the scope and nature of the UDGW literature, our research combines a methodological framework of systematic literature review with an approach to synthesize manifest and latent content. Additionally, we describe expert predictors for and against inductive content analysis, which extracts necessary concepts, priorities, organization, and coding from the data. MFA tool has analyzed sustainability indices, compositions, correlations perceptual behavior of sustainability dimensions of groups in the variables predicting the exploitation of UDGW. In the proposed model, the synthetic index has determined weighting commensurate with the variability of data, to balance the effect of groups of variables. The most important dimensions of sustainability are Proxy/flexibility measures (69.4), Fund (63.3), Safety (63.2) and Extent and possibility of access and exploitation (63.06) of UDGW resources from engineering, social and environmental groups, respectively. However, the performance of Evaluation of quantity and quality of UDGW resources (39.8) and Fairness (42.3) groups were the lowest due to the environmental and social sustainability, respectively. In fact, a fair and sustainable expedient strategy and a restructuring of hydro-social networks that clearly acknowledge the political aspect of resource management and its intricacies are required. The ministry and the UDGW decision-makers themselves must solve these shortcomings.

Neural Mechanisms Determining the Duration of Task-free, Self-paced Visual Perception.

Humans spend hours each day spontaneously engaging with visual content, free from specific tasks and at their own pace. Currently, the brain mechanisms determining the duration of self-paced perceptual behavior remain largely unknown. Here, participants viewed naturalistic images under task-free settings and self-paced each image's viewing duration while undergoing EEG and pupillometry recordings. Across two independent data sets, we observed large inter- and intra-individual variability in viewing duration. However, beyond an image's presentation order and category, specific image content had no consistent effects on spontaneous viewing duration across participants. Overall, longer viewing durations were associated with sustained enhanced posterior positivity and anterior negativity in the ERPs. Individual-specific variations in the spontaneous viewing duration were consistently correlated with evoked EEG activity amplitudes and pupil size changes. By contrast, presentation order was selectively correlated with baseline alpha power and baseline pupil size. Critically, spontaneous viewing duration was strongly predicted by the temporal stability in neural activity patterns starting as early as 350msec after image onset, suggesting that early neural stability is a key predictor for sustained perceptual engagement. Interestingly, neither bottom-up nor top-down predictions about image category influenced spontaneous viewing duration. Overall, these results suggest that individual-specific factors can influence perceptual processing at a surprisingly early time point and influence the multifaceted ebb and flow of spontaneous human perceptual behavior in naturalistic settings.

Psychological Social Behavior: Taxable Entrepreneurs Respond to Vat Policy Changes

Environmental considerations or individual intentions influence taxpayer behavior. VAT changes may be a reaction to behavior either overtly or covertly. This research applies an approach approach with the method of interviews conducted with business actors. However, VAT can reduce profits by influencing consumers to spend resources and look for lower prices. Regarding the VAT rate, it is still considered unfair. Furthermore, double recording or splitting the business into several forms is implemented, which is passed on to other family members. Another option is to do tax planning to meet the tax burden. Decisions in the information action model can be based on rationality, routine behavior, nature/tradition and subjective norms / perceptual behavior. Findings from an environmental perspective are formed from the level of experience and age, as well as the encouragement of social communities and provide psychological stimuli for taxpayer behavior in assessing changes in tax regulations, especially about VAT rates.

RESEARCH ON THE FORMATION MECHANISM OF ARCHITECTURAL DESIGNERS’ CREATIVE DEVIANCE - BASED ON THE PERSPECTIVE OF PLANNED BEHAVIOR THEORY

With the improvement of architectural design project management and the standardization of the design process, enterprises have encountered some obstacles on the road to innovation. Among them, the deviant innovation behavior, as an obscure independent innovation behavior, has gradually attracted the attention of scholars. The characteristic of deviant innovation behavior is that, in order to achieve the purpose of innovation, innovators will use various resources to support their innovative ideas. Among them, deviant innovation behavior not only promotes innovation but also brings management and risk challenges to enterprises. Therefore, only by clarifying the causes and conditions of the deviant innovation behavior can we truly manage the deviant innovation and do a good job in the innovation management of enterprises on the basis of reducing operational risks.
 Based on the current situation of high education levels and low innovation success rates among architectural designers, this study discusses the environmental factors contributing to deviant innovation behavior and explains its formation mechanism. In general, the contributions of this paper to existing research are as follows: 1) On the basis of the existing literature, this study reviews the relevant concepts and measurement methods of deviant innovation behavior and the influencing factors are discussed. 2) Based on the theory of planning behavior theory, the deviant innovative behavior model is constructed, which reveals the role of behavior attitude, subjective norms, and perceptual behavior control in affecting employee deviant innovative behavior. 3) Previous studies have directly applied the theory of planned behavior to the interpretation and prediction of behavior. This study complements and extends the boundary conditions, puts forward the view that task complexity will regulate the relationship between deviant innovation willingness and deviant innovation behavior, and has verified it.

A STUDY ON THE IMPACT OF SOCIAL MEDIA USER EXPERIENCE ON THE BRAND PERCEPTION AND CHOICE OF CHONGQING VOCATIONAL COLLEGE STUDENTS: A GENDER-BASED MODERATING EFFECT

<p>With the vigorous development of social media in China and the increasing demand for enhancing the brand value of higher vocational colleges, the impact of students' brand experience and perceptual behavior on the brand value of higher vocational colleges on social media has become a focus that every higher vocational college cannot ignore. There are few studies in the academic community on the impact of students' brand experience and perceptual behavior on the brand value of higher vocational colleges on social media, and most of them still remain at the level of ordinary undergraduate colleges and social media teaching. However, with the rapid development of information technology, social media has become an important platform for students to obtain information, exchange views, and shape personal cognition. Therefore, this study is crucial for brand marketing and brand construction of higher vocational colleges, as well as future enrollment. This study selected 462 students in Chongqing as the research object, using AMOS structural equation modeling, through the design of social media brand experience, student perceptual behavior questionnaire, and higher vocational college brand value evaluation tool, we collected relevant quantitative data. The aim is to comprehensively understand the impact of social media brand experience and student perceptual behavior on the brand value of higher vocational colleges. The focus of particular attention is the possible moderating effect of gender on student perceptual behavior and higher vocational college brand value. The research results show that student perceptual behavior as an intermediary has a significant positive partial mediating relationship between social media brand experience and higher vocational college brand value. At the same time, gender as a moderating variable plays a significant moderating role in student perceptual behavior and higher vocational college brand value. Moreover, the moderating effect of female students is significantly greater than that of male students. This finding provides practical guidance for brand management in higher vocational colleges and helps to develop more targeted brand promotion strategies.</p><p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/lit/0558/a.php" alt="Hit counter" /></p>

Farmer differentiation and cultivated use system resilience from a perceptive behavioral perspective: influencing mechanisms and governance strategies

IntroductionThe adaptive management strategy of the cultivated land use system is crucial for achieving sustainable development, particularly when viewed from the perspective of perceptual behavior. This study integrated farmers’ behavior, perceptions, and willingness into the resilience evaluation index system of the cultivated land use system.MethodsBy resilience calculation method of cultivated land use system and linear regression method, it also explored the effect of farmer differentiation on the resilience of cultivated land use systems under the influence of socioeconomic systems, thereby providing a scientific reference for the adaptive management of cultivated land use systems.ResultsThe key findings are as follows: First, in general, the production resilience of the peasant household cultivated land use system was low, with significant resilience differentiation of resource elements and stratification of ecological and scale structures. However, the total resilience remained relatively stable. Second, farmers’ cultivated land use systems exhibit uneven resilience, with a lack of production and ecological protection, indicating low efficiency and weak functioning of the cultivated land use system. Third, farmers’ differentiation into non-agricultural employment is high, with low dependence on land. The resilience of the cultivated land use system varies significantly among different types of farmers, with imbalance and production deficiency being the main types of resilience in the farmland use system. Fourth, the economic differentiation of farmers and the differentiation of cultivated land use negatively affected the resilience of the cultivated land use system; the more pronounced the differentiation, the lower the resilience.DiscussionBased on these findings, the primary management strategies to enhance the resilience and adaptability of the cultivated land use system include improving the production resilience of the system, increasing the enthusiasm of different types of farmers to invest in the resource elements of the cultivated land use system, promoting the transformation of ecological protection consciousness and behavior among various types of farmers, and improving the willingness for cultivated land transfer.

Comparing LLMs for Prompt-Enhanced ACT-R and Soar Model Development: A Case Study in Cognitive Simulation

This paper presents experiments on using ChatGPT4 and Google Bard to create ACT-R and Soar models. The study involves two simulated cognitive tasks, where ChatGPT4 and Google Bard (Large Language Models, LLMs) serve as conversational interfaces within the ACT-R and Soar framework development environments. The first task involves creating an intelligent driving model using ACT-R with motor and perceptual behavior and can further interact with an unmodified interface. The second task evaluates the development of educational skills using Soar. Prompts were designed to represent cognitive operations and actions, including providing context, asking perception-related questions, decision-making scenarios, and evaluating the system's responses, and they were iteratively refined based on model behavior evaluation. Results demonstrate the potential of using LLMs to serve as interactive interfaces to develop ACT-R and Soar models within a human-in-the-loop model development process. We documented the mistakes LLMs made during this integration and provided corresponding resolutions when adopting this modeling approach. Furthermore, we presented a framework of prompt patterns that maximizes LLMs interaction for artificial cognitive architectures.

Achieving Sustainable Tourism: Analysis of the Impact of Environmental Education on Tourists’ Responsible Behavior

Environmental challenges like resource depletion, climate change, and biodiversity loss require human action. Environmental education influences individuals’ understanding and motivates responsible behavior, making it a real solution to address current problems. In this study, we examine the impact of situational environmental education and daily environmental education on tourists’ responsible environmental behavior by incorporating them as covariates into an integrated tourist behavior model. In total, 2381 valid questionnaires were obtained. The results showed that (1) daily environmental education mainly affects tourists’ responsible environmental behavior through attitude (0.467) and habits (0.634); (2) tourists’ responsible environmental behavior is mainly affected by situational environmental education through habits (0.534), subjective norms (0.504), and intention (0.614); and (3) personal factors, including attitudes toward environmental behavior, subjective norms, and perceptual behavior control, positively influence tourists’ responsible environmental behavioral intention and their responsible environmental behavior. This research will help to improve sustainability indicators and frameworks and to promote the adoption of sustainable tourism practices.

Archaeologiques of sight: The visual world fosters the engagement between doing, seeing, and thinking

The paper examines how materializations of human practices relate to human cognition and to socio-cultural contexts. By combining evidence on the relationship between material culture and perceptual behaviour, we aim to understand the interactions between the mind, objects, and the world. The research is based on data regarding the visual perception of prehistoric pottery that was analyzed using Eye-Tracking techniques in a way that has not been applied previously to archaeological material culture. The datasets come from Galicia (NW Iberian Peninsula) and range from the Middle Neolithic until the end of the Iron Age (6000–200 BP). They belong to very different contexts that comprise a long-term history through diverse socio-cultural formations. A rigorous methodology makes it possible to unveil cross- and intra-cultural patterns of visual response to materiality, while avoiding presentism and subjective bias. The results provide new insights into the agency of material culture, which contribute to our understanding of the relationship between the mind and the material world, and account for the transitive engagement between the way of thinking, seeing, and making things.

How Can Human Hierarchical and Active Visual Perceptual Behavior Influence Scenic Image Categorization? A Deep Vision Model for Architectural Scenery Toward Education

How Can Human Hierarchical and Active Visual Perceptual Behavior Influence Scenic Image Categorization? A Deep Vision Model for Architectural Scenery Toward Education

Cortical field maps across human sensory cortex.

Cortical processing pathways for sensory information in the mammalian brain tend to be organized into topographical representations that encode various fundamental sensory dimensions. Numerous laboratories have now shown how these representations are organized into numerous cortical field maps (CMFs) across visual and auditory cortex, with each CFM supporting a specialized computation or set of computations that underlie the associated perceptual behaviors. An individual CFM is defined by two orthogonal topographical gradients that reflect two essential aspects of feature space for that sense. Multiple adjacent CFMs are then organized across visual and auditory cortex into macrostructural patterns termed cloverleaf clusters. CFMs within cloverleaf clusters are thought to share properties such as receptive field distribution, cortical magnification, and processing specialization. Recent measurements point to the likely existence of CFMs in the other senses, as well, with topographical representations of at least one sensory dimension demonstrated in somatosensory, gustatory, and possibly olfactory cortical pathways. Here we discuss the evidence for CFM and cloverleaf cluster organization across human sensory cortex as well as approaches used to identify such organizational patterns. Knowledge of how these topographical representations are organized across cortex provides us with insight into how our conscious perceptions are created from our basic sensory inputs. In addition, studying how these representations change during development, trauma, and disease serves as an important tool for developing improvements in clinical therapies and rehabilitation for sensory deficits.

Exploring the intentional unsafe behavior of workers in prefabricated construction based on structural equation modeling.

Compared with traditional onsite construction, prefabricated construction has a more complex working environment, resulting in more safety risks. While cognitive failure has been identified as a primary cause of intentional unsafe behaviors, there remains a lack of knowledge on the formation mechanism underlying intentional unsafe behaviors among workers in precast construction. Using the Theory of Planned Behavior and the risk preference variable, this study constructs a theoretical model for intentional unsafe behaviors of precast construction workers. Data related to precast construction and safety management activities is collected from 208 frontline workers. Structural Equation Modeling is used to test and modify the theoretical model in order to identify the formation mechanism and pathway underlying intentional unsafe behaviors. The findings show that: (1) workers' perceptual behavior control, behavior and attitude, risk preference, and subjective norms influence their intention to engage in unsafe behavior and subsequently lead to intentional unsafe behavior; (2) the effect of personal risk preference on intentional unsafe behaviors is significant, contributing 7.71% to overall intentional unsafe behavior; and (3) the effects of the observed variables are more evident than the initial theoretical model. The most prominent of these are the effects of task intensity (IBC1), safety equipment (IBC2), worker behavior (IOW1), historical behavior (IBC3), and behavioral belief (BAA3). Finally, comprehensive measures to control the intentional unsafe behaviors of precast construction workers are recommended. The results of this study are useful for reducing the occurrence of intentional unsafe behaviors by workers and reducing the incidence of accidents in a complex manufacturing-oriented construction environment.