Human Behavior Patterns Research Articles

Impact of face trustworthiness on approach-avoidance behavior of adolescents with varied social anxiety traits

Approach/avoidance behavior is a basic human behavior pattern. However, more recent studies have demonstrated that this behavior pattern greatly differs among individuals. This heterogeneity has promoted research on exploring the predictive value of individual differences. Based on Person-Context Interaction Theory, the current study focused on the impact of face trustworthiness on adolescents’ approach/avoidance behavior with varied social anxiety traits. Results revealed that the avoidance behavior of highly anxiety individuals was affected by face trustworthiness, while in contrast, individuals with low levels of anxiety were only affected by face trustworthiness in their approach behavior. This indicates that adolescents tend to be more responsive to external influences in behaviors where they have greater proficiency, whereas external factors have a less significant impact on behaviors in which they lack skill. Results were also interpreted in terms of two independent social motivations, which may benefit the development of adolescents’ interpersonal relationships and the solution of extended problems caused by social problems.

Does ChatGPT have a typical or atypical theory of mind?

In recent years, the capabilities of Large Language Models (LLMs), such as ChatGPT, to imitate human behavioral patterns have been attracting growing interest from experimental psychology. Although ChatGPT can successfully generate accurate theoretical and inferential information in several fields, its ability to exhibit a Theory of Mind (ToM) is a topic of debate and interest in literature. Impairments in ToM are considered responsible for social difficulties in many clinical conditions, such as Autism Spectrum Disorder (ASD). Some studies showed that ChatGPT can successfully pass classical ToM tasks, however, the response style used by LLMs to solve advanced ToM tasks, comparing their abilities with those of typical development (TD) individuals and clinical populations, has not been explored. In this preliminary study, we administered the Advanced ToM Test and the Emotion Attribution Task to ChatGPT 3.5 and ChatGPT-4 and compared their responses with those of an ASD and TD group. Our results showed that the two LLMs had higher accuracy in understanding mental states, although ChatGPT-3.5 failed with more complex mental states. In understanding emotional states, ChatGPT-3.5 performed significantly worse than TDs but did not differ from ASDs, showing difficulty with negative emotions. ChatGPT-4 achieved higher accuracy, but difficulties with recognizing sadness and anger persisted. The style adopted by both LLMs appeared verbose, and repetitive, tending to violate Grice's maxims. This conversational style seems similar to that adopted by high-functioning ASDs. Clinical implications and potential applications are discussed.

Problems of Value Orientation of Contemporary College Students and Countermeasures

Values, in fact, is the process of cultivating one’s own mind to correctly view money, fame, gain and loss. It serves as the core of human spiritual field and influences human values and behavioural patterns. Contemporary college students are a generation of attention, they have certain knowledge and ability, with the expressive desire of exploration and research. Among the values of college students, values influence all aspects. Therefore, under the condition of socialist market economy constantly tends to improve, the main work of colleges and universities is to deeply understand the current situation of college students’ values, and timely and effectively strengthen the ideological and moral education of college students, in order to cultivate talents and qualified citizens who can be used by the society.

Mix and Match: Characterizing Heterogeneous Human Behavior in AI-assisted Decision Making

AI-assisted decision-making systems hold immense potential to enhance human judgment, but their effectiveness is often hindered by a lack of understanding of the diverse ways in which humans take AI recommendations. Current research frequently relies on simplified, ``one-size-fits-all'' models to characterize an average human decision-maker, thus failing to capture the heterogeneity of people's decision-making behavior when incorporating AI assistance. To address this, we propose Mix and Match (M&M), a novel computational framework that explicitly models the diversity of human decision-makers and their unique patterns of relying on AI assistance. M&M represents the population of decision-makers as a mixture of distinct decision-making processes, with each process corresponding to a specific type of decision-maker. This approach enables us to infer latent behavioral patterns from limited data of human decisions under AI assistance, offering valuable insights into the cognitive processes underlying human-AI collaboration. Using real-world behavioral data, our empirical evaluation demonstrates that M&M consistently outperforms baseline methods in predicting human decision behavior. Furthermore, through a detailed analysis of the decision-maker types identified in our framework, we provide quantitative insights into nuanced patterns of how different individuals adopt AI recommendations. These findings offer implications for designing personalized and effective AI systems based on the diverse landscape of human behavior patterns in AI-assisted decision-making across various domains.

EBPVis: Visual Analytics of Economic Behavior Patterns in a Virtual Experimental Environment

AbstractExperimental economics is an important branch of economics to study human behaviours in a controlled laboratory setting or out in the field. Scientific experiments are conducted in experimental economics to collect what decisions people make in specific circumstances and verify economic theories. As a significant couple of variables in the virtual experimental environment, decisions and outcomes change with the subjective factors of participants and objective circumstances, making it a difficult task to capture human behaviour patterns and establish correlations to verify economic theories. In this paper, we present a visual analytics system, EBPVis, which enables economists to visually explore human behaviour patterns and faithfully verify economic theories, e.g. the vicious cycle of poverty and poverty trap. We utilize a Doc2Vec model to transform the economic behaviours of participants into a vectorized space according to their sequential decisions, where frequent sequences can be easily perceived and extracted to represent human behaviour patterns. To explore the correlation between decisions and outcomes, an Outcome View is designed to display the outcome variables for behaviour patterns. We also provide a Comparison View to support an efficient comparison between multiple behaviour patterns by revealing their differences in terms of decision combinations and time‐varying profits. Moreover, an Individual View is designed to illustrate the outcome accumulation and behaviour patterns of subjects. Case studies, expert feedback and user studies based on a real‐world dataset have demonstrated the effectiveness and practicability of EBPVis in the representation of economic behaviour patterns and certification of economic theories.

Ecological restoration of historical monuments (With a Focus on the Restoration of Chogha Zanbil)

Architecture has always been an art wherein one can observe the traces of human desires, goals, and behavioral patterns throughout history. Iran, a land of ancient heritage, is rich in architectural elements, historical spaces, and monuments, which not only hold a powerful presence in the realm of Iranian culture but also serve as a means to revive and expand historical and cultural connections with the past. This research employs a descriptive-analytical approach alongside field observations to address the subject of restoring historical monuments and its significance and necessity for preserving the historical fabric of Iranian architecture. The approach taken in this study is ecological restoration. We aim to illustrate not only the architectural characteristics and features of the unique earthen structure of Chogha Zanbil but also to assess the countless possibilities offered by this ecological method of preserving and maintaining historical structures. The findings indicate that the ecological restoration of the Chogha Zanbil ziggurat, on one hand, preserves the historical-cultural and religious authenticity of the site, and on the other hand, reflects the cultural relationship between the architectural space of the ziggurat and the surrounding environmental elements of these historical monuments.

Human navigation strategies and their errors result from dynamic interactions of spatial uncertainties

Goal-directed navigation requires continuously integrating uncertain self-motion and landmark cues into an internal sense of location and direction, concurrently planning future paths, and sequentially executing motor actions. Here, we provide a unified account of these processes with a computational model of probabilistic path planning in the framework of optimal feedback control under uncertainty. This model gives rise to diverse human navigational strategies previously believed to be distinct behaviors and predicts quantitatively both the errors and the variability of navigation across numerous experiments. This furthermore explains how sequential egocentric landmark observations form an uncertain allocentric cognitive map, how this internal map is used both in route planning and during execution of movements, and reconciles seemingly contradictory results about cue-integration behavior in navigation. Taken together, the present work provides a parsimonious explanation of how patterns of human goal-directed navigation behavior arise from the continuous and dynamic interactions of spatial uncertainties in perception, cognition, and action.

A Study on Spatiotemporal Dynamics and Spatial Dependence of Sound Source Perception in Fuzhou Historical and Cultural Districts

As a carrier of cultural characteristics of historic districts, the soundscape has unique advantages in shaping regional cultural personality, and mastering its spatiotemporal characteristics is crucial for preserving soundscape heritage with natural and humanistic environments as its kernel. Focusing on the Three Square and Seven Alleys historic and cultural district in Fuzhou, this paper analyzes the spatial and temporal patterns of the physical acoustic indicators of the soundscape, the spatial dependence of the sound source harmony, and the spatial relationship between the two. It was found that the physical acoustic indicators showed dynamic changes in spatial and temporal scales and reflect specific human activity and behavioral patterns; sound source harmony showed spatial autocorrelation in both global and local models, with prominent spatial characteristics; and the physical acoustic indicators may negatively affect soundscape perception. The study emphasizes the importance of the regional cultural connotation of soundscape in urban planning. It provides a scientific basis for the planning, designing, and managing of soundscape resources in historic and cultural districts and world heritage sites.

Visual Experimentation Research on Traditional Residential Courtyard Spaces Using Virtual Eye-Tracking Technology

Courtyard space serves as the soul of traditional residences in Southern China, representing a gem in traditional Chinese architecture. Courtyards play a multifaceted role in architecture, including functions such as lighting, ventilation, water collection, solar radiation, and environmental beautification. This paper, building upon previous research and theoretical foundations, takes three types of courtyards in "Kong House" as the research subjects. Through methods like data collection, literature analysis, questionnaire surveys, and eye-tracking experiments, the study investigates the spatial experience of courtyard spaces in traditional residences. It quantitatively validates the design theory of courtyard spaces, analyzes the similarities and differences in spatial experiences among comprehensive courtyards, landscape courtyards, and functional courtyards, and concludes the study. The experiments indicate that incorporating courtyard spaces in traditional residences can effectively influence human behavior patterns and perceptual choices. Comprehensive courtyards typically stimulate more exploration and lingering behaviors. The combination of virtual reality and eye-tracking experiments provides valuable visual information and statistical data for analyzing human behavior and evaluating traditional residential design schemes.

Visual Experimentation Research on Traditional Residential Courtyard Spaces Using Virtual Eye-Tracking Technology

Courtyard space serves as the soul of traditional residences in Southern China, representing a gem in traditional Chinese architecture. Courtyards play a multifaceted role in architecture, including functions such as lighting, ventilation, water collection, solar radiation, and environmental beautification. This paper, building upon previous research and theoretical foundations, takes three types of courtyards in "Kong House" as the research subjects. Through methods like data collection, literature analysis, questionnaire surveys, and eye-tracking experiments, the study investigates the spatial experience of courtyard spaces in traditional residences. It quantitatively validates the design theory of courtyard spaces, analyzes the similarities and differences in spatial experiences among comprehensive courtyards, landscape courtyards, and functional courtyards, and concludes the study. The experiments indicate that incorporating courtyard spaces in traditional residences can effectively influence human behavior patterns and perceptual choices. Comprehensive courtyards typically stimulate more exploration and lingering behaviors. The combination of virtual reality and eye-tracking experiments provides valuable visual information and statistical data for analyzing human behavior and evaluating traditional residential design schemes.

Acoustic analysis and control measures for noise in university: a case study of Adrar University, Algeria

The purpose of this research is to investigate the complex dynamics of noise pollution at the University of Adrar-Algeria, with a particular emphasis on the impact that the dry desert climate has on the acoustic environment of the campus. With the goal of cultivating an environment that is characterised by tranquilly, comfort, and optimal conditions for attention, learning, and practical engagement, the research attempts to achieve the goal of enhancing the existing discourse on noise management inside academic institutions. The inquiry makes use of a methodical approach in order to investigate the many climatological characteristics that are unique to the desert climate and that lead to increased noise levels within the university grounds. In addition, the research investigates the ways in which noise emissions from various sources alter inside the confines of Adrar University, taking into account the ways in which the harsh desert climate influences the parameters that control these emissions. The investigation of human behaviour patterns is relevant to this investigation. In particular, the investigation will focus on instances of protracted assemblage in air-conditioned places, which correlates with increased noise levels. In light of the fact that noise control is an essential component of the academic environment, the research being conducted at the University of Adrar includes the collection of questionnaires, the administration of on-site sound measurements, and the creation of an all-encompassing noise map. The findings shed light on the climatic factors that are primarily responsible for the excessive amount of noise that exceeds the standards that are suggested by the World Health Organisation (WHO).

PERANAN WHATSAPP SEBAGAI MEDIA PENEGUHAN IMAN BAGI UMAT DI LINGKUNGAN BENEDIKTUS PAROKI SANTA MARIA DIANGKAT KE SURGA PALUR

This research was motivated by rapid technological developments that can change patterns of human behavior, especially in terms of praying online. This study aims to determine the role of WhatsApp as a medium of faith confirmation for people in the St. Benedict, Parish of Santa Maria Assumption Palur, Karanganyar. Data collection was carried out by observation, interviews, community meetings, and questionnaires. This research was conducted using a mixed approach between qualitative and quantitative, but leaning more towards qualitative. The collected data was validated by means of triangulation. The results of this study indicate that most people feel that WhatsApp has a role as a medium for strengthening the people's faith. They feel affirmed and think that WhatsApp is able to find God through social media. Meanwhile, there are some people who feel that WhatsApp is less helpful when it comes to praying because it is considered less solemn. The people hope that WhatsApp can be used as a means of strengthening faith through what is shared by the people.

Classic Performing Arts Supply Chain Modeling in Covid 19 Protocol to Support D.I Yogyakarta Cultural Tourism Using Soft System Methodology

The performing arts are a unique and complex industry. To enjoy performing arts products, a customer must come to the rooms where the performance takes place. Performance products can be categorized as service products that do not have a physical form. Every performing arts performance always involves many works of art with a high level of coordination. The flow of materials and information (supply chain) moves very quickly within the limitations of space and time. Because the success of performing arts is influenced by many factors and actors, a performing arts manager must be able to manage the performing arts supply chain well.The Corona Virus Disease 19 (Covid-19) pandemic which has hit almost all corners of the world has formed new patterns of human behavior in working and interacting. Likewise, organizing and enjoying performing arts will look different compared to before the Covid-19 outbreak. The implementation of health protocols is needed to minimize the spread of the virus which has infected more than 13.2 billion people throughout the world.The performing arts supply chain policy model in the Covid-19 protocol to support cultural tourism in D.I Yogyakarta can be implemented by following the Joint Decree Guidelines of the Minister of Education and the Minister of Tourism and Economy dated 02 July 2020. Each actor must pay attention to the technical guidelines for preventing and controlling corona virus disease 2019. Each actor guarantees the hygiene of their respective performing arts equipment. Each actor maintains the form and duration of physical contact and pays attention to health protocols in activities throughout the performing arts supply chain. The performing arts model during the pandemic is realized in regulations that are in accordance with the technical guidelines for preventing and controlling the 2019 corona virus disease.

A Novel Approach to Combinatorial Problems: Binary Growth Optimizer Algorithm.

The set-covering problem aims to find the smallest possible set of subsets that cover all the elements of a larger set. The difficulty of solving the set-covering problem increases as the number of elements and sets grows, making it a complex problem for which traditional integer programming solutions may become inefficient in real-life instances. Given this complexity, various metaheuristics have been successfully applied to solve the set-covering problem and related issues. This study introduces, implements, and analyzes a novel metaheuristic inspired by the well-established Growth Optimizer algorithm. Drawing insights from human behavioral patterns, this approach has shown promise in optimizing complex problems in continuous domains, where experimental results demonstrate the effectiveness and competitiveness of the metaheuristic compared to other strategies. The Growth Optimizer algorithm is modified and adapted to the realm of binary optimization for solving the set-covering problem, resulting in the creation of the Binary Growth Optimizer algorithm. Upon the implementation and analysis of its outcomes, the findings illustrate its capability to achieve competitive and efficient solutions in terms of resolution time and result quality.

Utilizing enhanced deep learning methods for residential burglary detection via analysis of human behavior patterns

Utilizing enhanced deep learning methods for residential burglary detection via analysis of human behavior patterns

Behind the waterfall - Interdisciplinary results from Holley Shelter and their implications for understanding human behavioral patterns at the end of the Middle Stone Age in southern Africa

Holley Shelter is a Middle (MSA) and Later Stone Age (LSA) site in KwaZulu-Natal, South Africa. The rock shelter is located at the intersection of three ecosystems, in a strip of the Savanna Biome between the Grassland and Indian Ocean Coastal Belt Biomes. Initial excavations in the 1950s by Gordon Cramb yielded large amounts of unifacial points and splintered pieces, as well as organic remains associated with MSA occupations. Our comparative techno-typological evaluation of this material in 2015 suggested the occupations may date to early MIS 3. We then initiated new excavations at the site using modern field methods and controlled sampling for lithic and organic material. Following the initial round of interdisciplinary analysis, we herein report the first absolute ages for Holley Shelter, a detailed technological analysis of new lithic material from the uppermost MSA layers at the site, and a preliminary study of the associated faunal remains. A set of 12 14C dates place these occupations within a constricted chronological period dated to ∼36,000–34,000 cal. BP that overlaps with the so-called ‘final MSA’. The hornfels-dominated lithic assemblages are characterized by diverse core technologies oriented toward the production of laminar products, which include bladelets and abundant splintered pieces. The zooarchaeological analysis documents an emphasis on open grasslands that provided the bulk of the animal prey exploited by the inhabitants of the shelter, with a preference for medium-sized antelopes. Three bone retouchers, a rare occurrence in southern African MSA contexts, were identified in the faunal assemblage. The archaeological deposits at Holley Shelter reflect short-term, potentially seasonal, and specialized occupations that could be influenced by its ecological position. The archaeological material exhibits marked discrepancies with other well-dated final MSA assemblages such as those from Sibhudu, Umbeli Belli, Sibebe and Border Cave. This illustrates considerable variability and a complex spatio-temporal patterning of behavioral adaptations and cultural traditions at the end of the MSA in southern Africa.

Quantifying the impact of electricity pricing on electric vehicle user behavior: a V2G perspective for smart grid development

ABSTRACT This research introduces an innovative analytical framework for studying the behavior of electric vehicles (EVs) in power grids. The approach primarily examines the dynamic State of Charge (SOC) and energy reserves of EV batteries. By thoroughly examining patterns of EV charging demand and operational states (charging, discharging, idling, and waiting) across various time intervals, including day and night periods, this study aims to provide a comprehensive understanding of EV dynamic behavior in power networks. The proposed model goes beyond traditional assessments by incorporating human behavioral patterns and responsiveness to economic signals, specifically investigating the impact of electricity pricing on user behavior. The core analysis centers on exploring the Vehicle-to-Grid (V2G) concept, viewing EVs not only as energy consumers but also as potential contributors to grid stability and efficiency. The study delves into how the interplay of dynamic EV behavioral characteristics and owner responses to pricing influences the overall energy consumption curve of the grid, thereby shaping the capability of EVs in providing grid support services. To quantitatively validate the effectiveness of the model, a detailed case study is conducted, offering empirical evidence of its practical utility. The research findings are quantified, highlighting the significant implications for decision-makers, grid managers, and stakeholders in the energy sector. The paper emphasizes the main outcomes, demonstrating how the proposed analytical framework can empower stakeholders in making informed decisions about policy and infrastructure development. The robust methodological approach presented in this paper serves as a valuable tool for evaluating the impacts of adopting V2G, providing strategic insights for a more sustainable and economically viable paradigm.

Persistent interaction patterns across social media platforms and over time

Growing concern surrounds the impact of social media platforms on public discourse1–4 and their influence on social dynamics5–9, especially in the context of toxicity10–12. Here, to better understand these phenomena, we use a comparative approach to isolate human behavioural patterns across multiple social media platforms. In particular, we analyse conversations in different online communities, focusing on identifying consistent patterns of toxic content. Drawing from an extensive dataset that spans eight platforms over 34 years—from Usenet to contemporary social media—our findings show consistent conversation patterns and user behaviour, irrespective of the platform, topic or time. Notably, although long conversations consistently exhibit higher toxicity, toxic language does not invariably discourage people from participating in a conversation, and toxicity does not necessarily escalate as discussions evolve. Our analysis suggests that debates and contrasting sentiments among users significantly contribute to more intense and hostile discussions. Moreover, the persistence of these patterns across three decades, despite changes in platforms and societal norms, underscores the pivotal role of human behaviour in shaping online discourse.

Dealing with congestion in the optimization of locating single-server battery swapping stations

This paper presents a study on the location problem of single-server battery swap stations, identifying instances of excessively long waiting times at certain stations during their operation in a real-world company scenario. This study innovatively transforms the problem into an extended version of the classic maximal covering location problem, incorporating technology selection and three sets of additional constraints: budget, closest-assignment, and average waiting time constraints. In particular, the closest-assignment constraint is specifically designed to mimic human behavioral patterns. A non-convex integer programming model is proposed and then reformulated thus enabling it to be tackled by some general-purpose solvers. The model is validated considering a test bed of randomly generated instances. The model comprehensiveness added-value is assessed. Finally, real-world data is used which allows discussing the extraction of information in the studied context. That information is used to build an instance that is solved and analyzed to provide valuable managerial insights, emphasizing the importance of technological improvement to the management.

A One Health approach toward the control and elimination of soil-transmitted helminthic infections in endemic areas

Soil-transmitted helminths (STHs) pose significant health challenges, particularly in developing countries. Over 2 billion people are estimated to have been infected with at least one STH species. These parasites rely on the soil for part of their life cycle and are transmitted to humans through ova ingestion or skin penetration. Key risk factors include poor water, sanitation, hygiene practices, limited healthcare access, and poverty. Globally, STHs are primarily controlled through chemo-preventive deworming of high-risk groups in moderate (where prevalence of STHs is between 20 % and 50 %) to highly endemic areas (prevalence >50 %). Despite the use of deworming to control the STHs in endemic areas, infections still occur. The aim of this article is to explore the potential for enhancing STH control and elimination as Neglected Tropical Diseases (NTDs) in endemic areas through an integrated approach—the One Health approach. The current control program has a single strategy of chemoprophylaxis; in the integrated approach to control of STHs, the parasite control strategies besides being based on the epidemiology of the parasite (endemicity), also include strategies based on the biology (transmission cycle) of the parasites and human behavior patterns in endemic areas. Through the involvement of local communities, healthcare authorities, and stakeholders, participatory approaches foster collaborative efforts to devise and implement control measures. By integrating this integrated approach into existing healthcare and educational initiatives, more effective results can be achieved. The promotion of health education, clean water access, improved sanitation, and hygiene awareness can further enhance control strategies and reduce STH prevalence sustainably. Here, we highlight the benefits of adopting an integrated (One Health) approach to tackle STHs in endemic areas. Through community empowerment and multi-sectorial collaboration, we can strengthen our collective efforts to combat STHs and alleviate the burden of these NTDs.