Social Interaction Patterns Research Articles

Research on Online Games and Social Interaction

This paper delves into the central position of online games in contemporary society and their close relationship with social interaction. With the popularity of the Internet, online games have become one of the most important ways of leisure and social communication. The study outlines the development of MMOs, from their origins to their diverse classifications, and in particular how their unique social characteristics facilitate interactions between players. Through theoretical analysis combined with social exchange theory and symbolic interaction theory, this paper reveals the mechanisms of social interactions in MMOs, including inter-player exchanges, cooperation and competition, and explores how these interactions profoundly affect players' gaming experience and behavioural decisions. Further, this paper analyses the trend of convergence between online games and social networks, and how this convergence enhances the social attributes and player engagement of games. At the same time, the paper also focuses on the social problems that online games may bring, such as Internet addiction and social disorders, cyberbullying, etc., and looks forward to the impact of technological advances on future social interaction patterns. Finally, the paper summarises the potential and challenges faced by online games in promoting healthy social interactions, and puts forward suggestions for future research with a view to promoting the healthy development of the field of online games and social interactions.

Nutritional Status, Diet, and Intestinal Permeability of Mexican Children with Autism Spectrum Disorders

Introduction: Autism spectrum disorder (ASD) comprises a group of developmental disorders characterized by deficits in social interaction and behavioral patterns. Children with ASD may face nutritional challenges, primarily due to their restrictive behaviors and frequent gastrointestinal issues. Objective: The objective of the present study was to assess nutritional status, dietary habits, and intestinal permeability in a sample of individuals with ASD. Methods: A cross-sectional study was conducted with 24 children and adolescents (both sexes), aged 4 to 18 years, living in two cities of Mexico (Aguascalientes and Querétaro). Weight and height were measured, and body mass index for age was calculated and compared using WHO Z-scores. Diet was assessed through three 24 h dietary recalls and a food frequency questionnaire. Intestinal permeability was evaluated using a lactulose/mannitol test by HPLC. Results: A high prevalence of malnutrition was observed; 12.5% of the participants were underweight, and 45.8% were overweight or obese. Children had a low intake of fiber, vitamin E, folate, potassium, zinc, and phosphorus and a high intake of sodium. On average, the intestinal permeability ratio was 0.09 ± 0.05, with 54.2% of the children exhibiting high intestinal permeability. Conclusions: It is advisable to develop food counseling strategies for children with ASD to prevent micronutrient deficiencies, promote healthy weight, and improve gastrointestinal integrity.

Understanding Social Interaction and Physiological Patterns in Nonlean and Last Planner System–Based Project Teams: A Comparative Study Using Immersive Virtual Reality

Understanding Social Interaction and Physiological Patterns in Nonlean and Last Planner System–Based Project Teams: A Comparative Study Using Immersive Virtual Reality

English as a Lingua Franca in Short-term Study Abroad Contexts and Implications for Pre-departure Training

Short-term study abroad (STSA) programmes can provide English language learners important exposure to linguistic diversity and variability associated with English as a lingua franca (ELF). Emphasising the importance of ELF in these programmes highlights how students can navigate and benefit from linguistically diverse environments. This paper examines connections between the reported social interaction patterns of 18 Japanese university students during STSA and ELF perspectives using a qualitative analysis of their reflective writing from before departure, upon return, and nine months post-STSA. The research showed how multilingual encounters can shape students’ ELF perspectives. Supplementary survey data revealed further insight into the character and frequency of STSA social interactions, including ELF use with other international students on linguistically diverse programmes. The findings are used to in the development of suggestions for pre-departure STSA training to prepare students for communication in multilingual settings.

Research on Online Games and Social Interaction

This paper delves into the central position of online games in contemporary society and their close relationship with social interaction. With the popularity of the Internet, online games have become one of the most important ways of leisure and social communication. The study outlines the development of MMOs, from their origins to their diverse classifications, and in particular how their unique social characteristics facilitate interactions between players. Through theoretical analysis combined with social exchange theory and symbolic interaction theory, this paper reveals the mechanisms of social interactions in MMOs, including inter-player exchanges, cooperation and competition, and explores how these interactions profoundly affect players' gaming experience and behavioural decisions. Further, this paper analyses the trend of convergence between online games and social networks, and how this convergence enhances the social attributes and player engagement of games. At the same time, the paper also focuses on the social problems that online games may bring, such as Internet addiction and social disorders, cyberbullying, etc., and looks forward to the impact of technological advances on future social interaction patterns. Finally, the paper summarises the potential and challenges faced by online games in promoting healthy social interactions, and puts forward suggestions for future research with a view to promoting the healthy development of the field of online games and social interactions.

Dinamika Khulu’ dan Peran Pengadilan Agama Sidoarjo: Analisis Peningkatan Perkara Cerai Gugat Pasca-COVID-19

The COVID-19 pandemic was expected to impact not only the economic and health aspects of society but also potentially affect social dynamics and household stability, including an increase in divorce cases. However, the reality shows a significant surge in divorce cases, particularly khulu', at the Sidoarjo Religious Court following the pandemic. This phenomenon marks a significant change in divorce patterns occurring after the COVID-19 period, warranting further investigation to understand the causes and potential solutions. This study aims to analyze the dynamics of khulu', identify factors influencing the rise in divorce cases, and evaluate the role of the Sidoarjo Religious Court in addressing and reducing divorce cases. The research is field-based with a qualitative approach. The methodology used is a case study with descriptive analysis. The results indicate that the dynamics of khulu' in Sidoarjo have undergone significant changes, with an increase in divorce cases during the post-COVID-19 period. Factors such as economic pressure, changes in social interaction patterns, and emotional instability have triggered this surge. To minimize the prevalence of khulu' and divorce, the Sidoarjo Religious Court focuses on strengthening mediation, public education, rationalizing administrative requirements, and assisting families in resolving conflicts peacefully.

The Impact of Perceived Escapism on Visitor Experience and Engagement in Digital Exhibitions: Empirical Research Evidence from Sanxingdui

The evolution of digital technology offers virtual reality environment to escape and redefines visitor engagement in exhibitions. This study proposed a theoretical model that delineates the influence of perceived escapism on visitor engagement, encompassing various digital experience variables. Moreover, it categorizes digital exhibition engagement into two dimensions: breadth and depth of engagement. Focusing on the experience of viewing the Sanxingdui digital exhibition, an online survey was conducted and analyzed, with a sample of 464 participants in China. The findings of this investigation unveil several key insights: (a) Perceived escapism exhibits a positive correlation with visitor engagement; (b) Mediating effects of entertainment, immersion, and flow experience exist between perceived escapism and visitor engagement, with flow experience emerging as the most significant mediator; (c) Digital literacy negatively moderates the mediating effect of perceived escapism and immersion experience. Consequently, enhancing visitor engagement in digital exhibitions can be achieved by exhibition designers considering the diverse patterns of social interaction among visitors and creating a personalized and interactive escape environment.

How do social interaction and group-level regulation shape task perceptions in collaborative learning task?

ABSTRACT This study explored patterns of social interaction and group-level regulation in terms of co- and socially shared regulation in collaborative learning and their relation to learners’ metacognitive task perceptions. 72 secondary school students performed collaborative physics tasks in small groups over multiple 90-minute sessions. Video recordings (∼148.5 h) of collaborative interactions and pre- and post- situated self-reports of learners’ task perceptions were collected. The collaborative sessions were clustered and collaborative interaction patterns were examined. Finally, learners’ task perceptions in the clusters were investigated. The results showed different collaborative interaction patterns and differences in learners’ task perceptions between the clusters. The main finding is that continuous active participation in socioemotional interactions alongside cognitive-focused interactions and appropriate group-level regulation of learning positively influence learners’ perceived task understanding. These findings add to current understanding of collaborative interactions as temporal processes and contribute to practical implications for supporting collaborative interactions to enhance metacognitive skills.

Gender Differences in Teamwork and Leadership within Virtual Engineering Laboratories

AbstractTo adapt to changes in digital transformation and related Learning and Working 4.0, laboratories in engineering education must leap forward and employ well‐thought‐out pedagogical designs. This includes digital laboratories that in return change social dynamics and interaction patterns of students. This contribution takes the first step of examining gender‐specific teamwork and leadership of groups conducting a digital laboratory in fluid mechanics. Self and external evaluation of perceived teamwork of team members (TMs) and leaders (TLs) was analyzed. Furthermore, possibilities for improvements were evaluated. A mixed‐methods analysis was performed with respect to gender and role to assess whether differences occur. Conclusions show considerable homogeneity between genders and roles and identify communication as most important point of improvement.

Dynamic Interpersonal Processes at Work: Taking Social Interactions Seriously

Dynamic interpersonal processes are the core foundation of many phenomena of interest to organizational psychology and organizational behavior scholars. This article views the organization as a system of social interaction. From this vantage point, I present a selective review of the current literature that supports a behavioral interaction perspective of interpersonal processes at work. I organize insights into phenomena such as (emergent) leadership, team processes, change management, coaching, selection, and negotiation according to the respective interaction constellation (i.e., dyadic, group, or across the organizational boundary). For each of these constellations, I highlight key empirical insights into behavioral interaction dynamics at the core of each interpersonal phenomenon. I discuss gaps and derive commonalities across different interaction constellations. To promote the consistent pursuit of a social interaction perspective and theory-method alignment, I derive a future research agenda including methodological recommendations for identifying meaningful patterns of social interaction at work.

Evaluation of social risks in large-scale infrastructure projects in India – a comparative study using relational and traditional approaches

Large-scale infrastructure projects (LSIPs) are characterized by huge costs, high complexity, a high propensity for risks, and a long-lasting impact on the environment and society. While past researchers have extensively studied project risk and associated issues, much less is explored about social risks, a particular category of risks rooted in the social contexts of the LSIPs. The gap is starker in the context of developing countries. To address this gap in knowledge, a network analysis approach is used to explore various social risks and their interdependencies in LSIPs in India. Data was collected from 23 risk management experts working in Indian LSIPs through a matrix-based questionnaire and subsequent interviews. A Social network analysis (SNA) of the social risk interactions identified labor unrest, environmental pollution, and public resistance as the most critical in LSIPs. The SNA-based risk criticality scores were also compared with the traditional probability-impact-based risk perception scores, and divergence of the results was observed. The study concludes by suggesting an actionable social-risk mitigation framework. The findings provide insights on the social risk interaction patterns and emphasize the importance of taking a relational perspective in conjunction with the traditional probability-impact-based view while assessing such risks in LSIPs.

Issues of Social Media Usage by Adolescents in their Socialisation Process

This study, employing a rigorous qualitative approach and case study design, investigated the common types of social media adolescents use in their socialisation process in Somanya in the Yilo Krobo Municipality in the Eastern Region of Ghana. The sample size was twenty adolescents selected through the convenience sampling technique. One-on-one interviews and focus group discussions were conducted to collect data. The significant findings from the study were that adolescents use social networking sites such as Facebook, WhatsApp, and Twitter. It recommends that parents socialise adolescents to conform to contemporary social interaction patterns to aid the proper use of social media. It was concluded that social media usage affects the socialisation of adolescent, thereby affecting their social behaviour.

Transliteration of Latin Letters to Bali Characters Based on Unicode for Mobile Devices using Finite State Automata and Levenshtein Distance

The preservation of Balinese script writing has been pursued by the local government with the issuance of the Bali Province Regional Regulation Number 1 of 2018 concerning Balinese Language, Script, and Literature. However, the use of Balinese script in daily life is declining, especially among generation Z, most of whom find Balinese language difficult to use and have never been taught it. Technological advances, particularly smartphone technology, can play an important role in shaping generation Z's habits, values, and social interaction patterns. This research uses the Finite State Automata (FSA) method to convert Latin letters to the Balinese script Unicode standard, following the Balinese script writing rules. FSA governs transliteration behavior by using the working principles of State, Event, and Action. Besides transliterating sentences typed by users, the application produced by this research also displays Balinese script words related to the words typed by users using the Levenshtein Distance method. The ‘related words’ feature allows users to know more about Balinese script than just the typed word. From the test results conducted through two different test cases, the first test case tested the application's ability to transliterate words/sentences typed by users without selecting words from the application's suggestions. The results showed that of the 50 words tested, 39 were correctly transliterated. The second test case tested the app's ability when the user selects a word from the suggestions given by the app. The result shows that out of 50 words tested, 43 transliteration data are correct, with the total accuracy of both test cases being 82%.

Netizens’ Discussions on Twitter Concerning Floods and Presidential Candidates

This qualitative study dives into social media debates about flood disasters in Jakarta, using Twitteras the significant inquiry medium. The primary goal is to discover new patterns of online social interactions, shed light on the concept of selective exposure, and rigorously chronicle the activities of critical actors in this digital network. We conducted the data gathering process on May 25, 2023, specifically focusing on the selected phrase "Banjir Jakarta." For a thorough study, NVivo 12 Plus compiled a significant dataset of 3,427 tweets. We divide the research findings into three distinct sections: the volume of conversations, the various categories of influencers involved, the prevailing sentiment and conversational tone of these influencers, and an exploration of the most frequently employed words in these discussions. This study highlights the significant impact of nanoinfluencers in these talks, accounting for the vast majority (93.70%) of participants. Furthermore, it emphasizes the active debate around the most likely presidential candidates for 2024. This speech had two prominent figures, Anies Baswedan and Ganjar Pranowo, who both elicited different tones and sentiments. Within this complex communication landscape, influencers emerge as crucial entities actively shaping public attitude and discourse, spanning news portals and individual social media profiles. Finally, this study highlights the enormous importance of social media, particularly Twitter, in shaping public awareness and driving political conversations, notably in crisis management and future presidential candidates.

The Influence of Perceptions of the Park Environment on the Health of the Elderly: The Mediating Role of Social Interaction

The aging population has brought increased attention to the urgent need to address social isolation and health risks among the elderly. While previous research has established the positive effects of parks in promoting social interaction and health among older adults, further investigation is required to understand the complex relationships between perceptions of the park environment, social interaction, and elderly health. In this study, structural equation modeling (SEM) was employed to examine these relationships, using nine parks in Wuhan as a case study. The findings indicate that social interaction serves as a complete mediator between perceptions of the park environment and elderly health (path coefficients: park environment on social interaction = 0.45, social interaction on health = 0.46, and indirect effect = 0.182). Furthermore, the results of the multi-group SEM analysis revealed that the mediating effect was moderated by the pattern of social interaction (the difference test: the friend companionship group vs. the family companionship group (Z = 1.965 > 1.96)). Notably, family companionship had a significantly stronger positive impact on the health of older adults compared to friend companionship. These findings contribute to our understanding of the mechanisms through which urban parks support the physical and mental well-being of the elderly and provide a scientific foundation for optimizing urban park environments.

Pola Perilaku Pengunjung terhadap Penggunaan Fasilitas di Orasis Art Space Surabaya

The application of behavioral concepts in the form of privacy, and public space is present at Orasis Art Space. The pattern of visitor distribution causes social interaction for visitors to do activities at Orasis Art Space. The pattern of visitor distribution has a great influence on the number of visitors and the quality of social interaction created in Orasis Art Space. This research aims to gain a deeper understanding of the various elements of interior design, from lighting, spatial layout, use of color, to the arrangement of artwork exhibitions, and how the combination of all these factors can create an atmosphere that influences visitors' perceptions, emotions, and interactions with the artworks on display. The methodology in this study uses a qualitative descriptive approach. The qualitative descriptive approach aims to describe the current situation with observation techniques and data collection methods using the Person Centered Mapping method, which is used to determine the activity patterns of a group of people in the tendency to spread patterns of social interaction and space utilization. or grouping their behavior in a certain situation, time and place. The results of this study are to describe the principles and characters of behavioral architecture, and identify the relationship between usage behavior and design in Orasis Art Space.

Analysing social media with an Improved K-Means Clustering Algorithm

Nowadays, sharing human social behavior and growing a multi-user network requires the use of social media. Analysis of social media provides a valuable opportunity to study human social activity at scale. People often bring and talk about different kind of topics on social media platforms. depending on which, discussions are made to show the positive as well dis positives ways. This is an interesting point about using social media. There is a great deal of information about the type and substance of these discussion holography’s that informs us more broadly around patterns in social media interactions, and how content flows between individuals. Data mining techniques exists which can be utilized to crunch out user information from social media and relationships existing within the network. However, state of the art methods often fail to model user communities and their behaviors at a correct level. To solve this problem and help successfully do the grouping of related information, in our work here we present an enhanced fuzzy means clustering approach. Using this technique reduces the creation and time complexity of clusters, resulting in higher quality group outcomes. Our proposed system aims at mitigating the problems as described above by introducing a scalable and effective solution for real-time cluster social media data.

Pertambangan Emas Tanpa Izin (Peti), Dampak Lingkungan, Sosial dan Ekonomi Serta Peranan Hukum Lingkungan di Kabupaten Lebong, Provinsi Bengkulu.

Unlicensed gold mining in Lebong Regency, Bengkulu Province, is a complex problem with significant environmental, social and economic impacts. Unlicensed gold mining in Lebong Regency, Bengkulu Province, is a complex problem with significant environmental, social and economic impacts. This research aims to analyze the social interaction patterns of the illegal workers in the region. illegal workers in the region. The research method was conducted by analyzing and description of the social interaction patterns of mine workers, with a focus on the subject of illegal miners in Lebong Tambang Village, North Lebong Regency. Sample The sample consisted of 100 illegal miners with probability sampling technique. Sampling technique. Research variables include environmental impacts andenvironmental and health impacts caused by unlicensed gold mining activities. Instruments The instruments used were surveys, interviews and documentation, with qualitative and quantitative data analysis. The data analysis used is qualitative and quantitative data analysis. The research results are expected to provide input for stakeholders, especially local governments, in formulating sustainable management of natural resources and the environment. sustainable management of natural resources and the environment. This research is expected to provide input for stakeholders, especially local governments, in formulating sustainable management of natural resources and the environment. This research is also expected to be a reference material for research and development on the topic in the future. Thus, this research As such, this research contributes to reducing the risk of environmental damage and pollution caused by illegal mining practices in Lebong District. caused by illegal mining practices in Lebong Regency.

Social Dynamics of Elementary School Students: The Impact of TikTok in the Digital Age

Social media, especially TikTok, has become an inseparable part of the lives of elementary school students in Indonesia, causing a shift in their social dynamics. The main aim of this research is to analyze and evaluate the impact of using TikTok on the transformation of elementary school students' social attitudes through an in-depth assessment of changes in students' behavior and interpersonal interactions. This research uses a qualitative descriptive method. Involving 21 students, one teacher, and one student's parent, data collection techniques were carried out using interviews and observations and analyzed using four steps, namely data collection, data reduction, presentation, and drawing conclusions/verification. The research results show that the use of TikTok causes students to come to school late, affects learning motivation, and changes social interaction patterns, changes students' language and behavior, hinders communication ethics and social norms. Parent and teacher responses highlight concerns over TikTok's influence, although oversight challenges remain. In conclusion, a concerted effort is needed to guide the use of TikTok to support children's holistic development socially, emotionally and academically in the digital era. This research contributes to a deeper understanding and guidance for wise social media use among elementary school students.

Algorithm-Based Recommendations: A Study on the Media Behavior of "Lurking" Participants

This study delves into the media behaviors of "lurking" participants, a distinct user group, by analyzing their activities in the online space. It uncovers the multifaceted impacts of algorithmic recommender systems on "lurking" participants. The research finds that algorithms not only profoundly influence users' content selection and preference development but also play a pivotal role in shaping their social interaction patterns, thereby having profound effects on the overall information ecosystem. Furthermore, this study explores the complexities of how algorithmic recommender systems mold users' information consumption habits.