Relevant bibliographies by topics / Social interaction

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Social interaction'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 August 2024

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Journal articles on the topic "Social interaction"

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Hall, Jeffrey A. "When is social media use social interaction? Defining mediated social interaction." New Media & Society 20, no. 1 (July 28, 2016): 162–79. http://dx.doi.org/10.1177/1461444816660782.

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This investigation explores the question, when is social media use social interaction? The results of three studies indicated that social media use was rarely considered social interaction. After using social media for 5 or 10 minutes, Study 1 ( N = 116) demonstrated that infrequent, directed social media behavior (e.g. chatting, commenting) predicted having a social interaction and feeling related. Study 2 ( N = 197) used event sampling to examine participants’ social interactions with friends ( n = 2388) and found 96.5% of social interactions did not take place on social media. Study 3 ( N = 54) used experience sampling to record participants’ experiences over 5 days ( n = 1332). Social media use and social interaction occasionally co-occurred, but only 2% of social interactions took place through social media. Social interactions through social media were usually talk-focused, one-on-one exchanges with closer relational partners, and rarely undifferentiated, broadcasted, or passively consumed information shared with acquaintances.
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الصميدعي, منيرة. "Social Interaction of Kindergarten Children." International Journal of Educational Sciences and Arts 2, no. 4 (2023): 10–41. http://dx.doi.org/10.59992/ijesa.2023.v2n4p1.

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Human beings are social creatures, and their existence is tied to their interactions with others, whether these interactions are positive or negative. One can devote much of their life to helping others, or live selfishly and prioritize their personal interests. Social interaction in any society is influenced by the psychological, social, and political conditions that the society experiences. The more a climate of warmth, empathy, and stability prevails, the more positive the relationships between individuals will be, and the opposite leads to negative relationships. Today, our Iraqi society needs social cohesion and positive relationships between its members more than ever, due to the unjust economic blockade that the country suffers from, which has led to negative behavior and attitudes among its youth. Ethics are the guardian of the individual and the foundation of a civilized society. It is not enough for the teacher to guide individuals on virtues, as a good education requires a long process of continuous commitment, and depends largely on a good family environment. The current research aims to identify the aspects of social interaction among preschool children and to clarify the importance of social interaction. Children begin interacting from the earliest days of their lives, and this interaction grows until the preschool stage, where they acquire the ability to communicate effectively.
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KURNIASARI, CECILIA INDRI. "Social Interaction on Patients with Schizophrenia in Psychiatric Hospital." Jurnal Ilmiah Kesehatan Keperawatan 15, no. 2 (January 15, 2020): 25. http://dx.doi.org/10.26753/jikk.v15i2.335.

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Social interaction is one of important indicator in the recovery process of mental patients, especially in patients with schizophrenia. Active social interactions can help patients with schizophrenia to socialize, while less active social interactions can cause social isolation to the risk of suicide. The purpose of this study was to determine the social interaction of patients with schizophrenia in psychiatric hospital. The number of participant in this study were 52 patients. Sampling with a purposive sampling technique. Data were collected using Social Interaction Questionnaire and Behavior Observation Sheet consisting of 18 statements. The analysis of this study was using univariate analysis with table of frequency distribution. The results showed that social interactions in schizophrenia patients were 45 patients with less active interacting categories, 5 patients with moderately active interacting categories, and 2 patients with active interacting categories. The results of the study can be used as a reference in determining appropriate nursing therapy in increasing social interaction in schizophrenia patients in mental hospitalsKeywords: social interaction; social psychological factors; schizophrenia;
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Breiner, Jeri, and Dale L. Young. "Social Interaction:." Child & Family Behavior Therapy 7, no. 1 (May 22, 1985): 1–8. http://dx.doi.org/10.1300/j019v07n01_01.

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Rajeswarao, D., A. Hari Priya, and P. V.S. Nikhileswar. "Social interaction assistant: social interactions for individuals with visual impairments." International Journal of Engineering & Technology 7, no. 2.20 (April 18, 2018): 78. http://dx.doi.org/10.14419/ijet.v7i2.20.11758.

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Effectively inside an intelligent setting is a fundamental need for proficient satisfaction and in addition individual achievement. People with visual weakness confront broad requesting circumstances in social dispatch, which if unmitigated social interaction is a critical factor of human delight in. The capacity to connect with others and talk, can likewise cause long lasting requirements for sizable social and money related help. Tragically, these days' media innovations to a great extent oblige the requirements of the "proficient" people, bringing about arrangements that for the most part meet the desires of that group. People with inabilities (which incorporates obvious disability) have in expansive part been missing inside the design procedure, and must adjust (consistently unsuccessfully) to accessible arrangements. On this paper, we advocate a social interchange partner for the individuals who are visually impaired or outwardly disabled, utilizing the viola jones confront recognition system fusing novel commitments additionally, individuals with visual weaknesses frequently have specific necessities that require a customized, versatile strategy to sight and sound registering. to manage this undertaking, our proposed arrangements region accentuation on understanding the man or lady shopper's needs, anticipations and adjustments toward outlining, developing and sending powerful interactive media arrangements. Our observational outcomes uncover the tremendous limit in the utilization of character focused on sight and sound responses to advance the lives of individuals with inabilities and in this paper we likewise specified the question recognition additionally where it is utilized for the outwardly debilitated for the route reason. The primary goal of this paper is to distinguish the face in the pictures and furthermore identify the articles utilizing the viola-jones calculation.
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Kurniawan, Arief Adhy, Kartawan Kartawan, Srimurni Setyawati, and Faridatun Nida. "Social Interaction Services as Mediation between Corporate Image and Social Interaction Satisfaction." ProBisnis : Jurnal Manajemen 14, no. 6 (December 30, 2023): 833–39. http://dx.doi.org/10.62398/probis.v14i6.435.

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MSMEs are currently growing rapidly, especially MSMEs that provide social interaction services in restaurants or cafes. Social interaction develops along with the existence of social media. This has resulted in competition for MSMEs as social interaction service providers. Consumers who interact socially will return to transactions if they feel satisfaction when interacting socially. Therefore, realizing customer satisfaction is important for MSMEs, so that consumers want to come back and recommend it to others. This research aims to examine the effect of corporate image on social interaction satisfaction, examine the effect of social interaction services on social interaction satisfaction and examine the role of social interaction in mediating corporate image with social interaction satisfaction. This research was conducted on consumers who are socially interacting in restaurants or cafes in Purwokerto. The study was conducted in 58 restaurants or cafes with a consumer sample size of 310 respondents. The analytical tool used is a structural equation model (SEM) with PLS software. This study concludes with the effect of corporate image on social interaction satisfaction. There is an influence of social interaction on the satisfaction of social interaction and social interaction services can mediate the company's image with the satisfaction of social interaction.
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Chung, Jae Eun. "Social interaction in online support groups: Preference for online social interaction over offline social interaction." Computers in Human Behavior 29, no. 4 (July 2013): 1408–14. http://dx.doi.org/10.1016/j.chb.2013.01.019.

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Yang, Zhi, Jilong Xue, Christo Wilson, Ben Zhao, and Yafei Dai. "Uncovering User Interaction Dynamics in Online Social Networks." Proceedings of the International AAAI Conference on Web and Social Media 9, no. 1 (August 3, 2021): 698–701. http://dx.doi.org/10.1609/icwsm.v9i1.14654.

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Measurement studies of online social networks (OSNs)show that all social links are not equal, and the strength of each link is best characterized by the frequency of interactions between the linked users. To date, few studieshave been able to examine detailed interactiondata over time. In this paper, we first analyze the interaction dynamics in a large online social network. We find that users invite new friends to interact at a nearly constant rate, prefer to continue interacting with friends with whom they have a larger number of historical interactions,and most social links drop in interaction frequency over time. Then, we use our insights from the analysis to derive a generative model of social interactionsthat can capture fundamental processes underlinguser interactions.
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Wu, Chih-Lun, and Shwu-Min Horng. "Social Commerce Intention, Social Interaction, and Social Support." Journal of Organizational and End User Computing 34, no. 1 (January 1, 2022): 1–23. http://dx.doi.org/10.4018/joeuc.307565.

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A higher number of socially anxious users were found as more users joined social network sites. Since social commerce has become an important issue, this study investigated the effect of social anxiety on online users’ social commerce intention. Online social interactions are hypothesized to influence social commerce intention directly or indirectly through online social support. 427 effective samples were collected from Facebook users, and the results confirmed most of the causal effects. The study also tested the moderating effect of social anxiety on the causal effects. Of the eight relationships, social anxiety significantly moderates six of them. The relationships between online social interaction and emotional support and between online social interaction and social commerce intention are stronger for users with higher social anxiety. For users with lower social anxiety, the relationship between social support and the receiving of social commerce intention is stronger. The research findings lead to significant theoretical contributions and managerial implications.
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Rousi, Rebekah. "Social interaction design--." Interactions 26, no. 4 (June 26, 2019): 20–21. http://dx.doi.org/10.1145/3337781.

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Dissertations / Theses on the topic "Social interaction"

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Erlandsson, Fredrik. "Human Interactions on Online Social Media : Collecting and Analyzing Social Interaction Networks." Doctoral thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-15503.

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Online social media, such as Facebook, Twitter, and LinkedIn, provides users with services that enable them to interact both globally and instantly. The nature of social media interactions follows a constantly growing pattern that requires selection mechanisms to find and analyze interesting data. These interactions on social media can then be modeled into interaction networks, which enable network-based and graph-based methods to model and understand users’ behaviors on social media. These methods could also benefit the field of complex networks in terms of finding initial seeds in the information cascade model. This thesis aims to investigate how to efficiently collect user-generated content and interactions from online social media sites. A novel method for data collection that is using an exploratory research, which includes prototyping, is presented, as part of the research results in this thesis.   Analysis of social data requires data that covers all the interactions in a given domain, which has shown to be difficult to handle in previous work. An additional contribution from the research conducted is that a novel method of crawling that extracts all social interactions from Facebook is presented. Over the period of the last few years, we have collected 280 million posts from public pages on Facebook using this crawling method. The collected posts include 35 billion likes and 5 billion comments from 700 million users. The data collection is the largest research dataset of social interactions on Facebook, enabling further and more accurate research in the area of social network analysis.   With the extracted data, it is possible to illustrate interactions between different users that do not necessarily have to be connected. Methods using the same data to identify and cluster different opinions in online communities have also been developed and evaluated. Furthermore, a proposed method is used and validated for finding appropriate seeds for information cascade analyses, and identification of influential users. Based upon the conducted research, it appears that the data mining approach, association rule learning, can be used successfully in identifying influential users with high accuracy. In addition, the same method can also be used for identifying seeds in an information cascade setting, with no significant difference than other network-based methods. Finally, privacy-related consequences of posting online is an important area for users to consider. Therefore, mitigating privacy risks contributes to a secure environment and methods to protect user privacy are presented.
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Antic, Dusan. "Encouraging social interaction in public spaces through interactive light." Thesis, Malmö universitet, Fakulteten för kultur och samhälle (KS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-21164.

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Interactive light systems create unique opportunities for different kinds of social interactions in public places. This thesis explores movement as the main interaction to discover and create new ways of engaging in social interaction as well as to encourage people of different age groups to come together and participate. To further explore and answer the questions in mind, different field studies such as interviews and user tests were implemented to gather information on how the pedestrian’s thoughts and actions were. The outcome of these field studies showed that there is a slight shyness in the Swedish people and that they need to be encouraged to start socially interacting. Which through the presented prototype and its mechanics worked and allowed the participants to express their thoughts and feelings regarding an interactive light system that could encourage social interaction in public spaces.
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Dodge, Cynthia Lynne. "Increasing social interaction in socially isolated preschool children." Scholarly Commons, 1987. https://scholarlycommons.pacific.edu/uop_etds/502.

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The purpose of this study was to improve social interaction and peer acceptance in socially isolated pre school children. It investigated whether children's stories a lone, and children' s stories paired with instrument playing led to improved peer ratings and an increase in social interaction during the following s mall group and large group free play periods . The subjects consisted of two groups of three children aged 3 - 5 years old . The study was conducted at two licensed preschools Monday through Friday in activity rooms. The children were selected on the basis of having the lowest scores on the Behavioral Observation device and by teacher referral. A Sociometric-Assessment device was a l so used pre-post to measure the change of peer social standing. Results of t he multiple baseline analysis across subjects showed that five of the six subjects had a greater overall increase in social interaction during the Books & Music treatment phase. Results of the Sociometric-Assessment measure showed a positive change (p< . 001) in the target subjects social standing among peers. Follow-up data suggested some maintenance of treatment effects . Given all of the positive changes, music educators and therapists should consider this type of intervention.
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Miles, Lynden K. "Smiles, affordances, and social interaction." Thesis, University of Canterbury. Psychology, 2005. http://hdl.handle.net/10092/4765.

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This thesis describes a program of research designed to investigate the sensitivity of perceivers to the ontological distinctions between simulated expressions of happiness unrelated to positive emotional experience, or, posed smiles, and spontaneous, veridical expressions of positive affect, or, genuine smiles. Importantly, this research was conducted from within the theoretical framework of Gibsonian ecological psychology, an alternative approach to the information processing theories that dominate contemporary psychological theorising. Four experiments were conducted that employed an original set of ecologically valid facial displays generated specifically for the present research. In Experiments I a and 1 b, it was demonstrated that when jUdging from either photographs or video, participants could determine whether a smile reflected a positive emotional experience or not. Furthermore, for both of these studies, participants exhibited a bias toward misidentifying posed smiles that expose the teeth as genuine smiles. Experiment 2 also revealed findings consistent with the notion that perceivers are sensitive to the meaningful differences between posed and genuine smiles. In this study, participants were required to judge the valence of a series of target words, each of which was preceded by a briefly presented facial expression (i.e. a prime). The results of this study indicated that the identification of positive words was facilitated when preceded by a genuine smile, but not a posed smile. Experiment 3 was conducted to further investigate how such sensitivity may be manifest in regard to guiding effective social interaction. PartiCipants were required to play several rounds of the Prisoners' Dilemma game with partners (actually video recordings) exhibiting Xll either posed or genuine smiles. The results of this experiment indicated that genuine smiles facilitated cooperative interaction, but posed smiles did not. The results of all four experiments are discussed in terms of the functionality provided by accurate social perception with regard to the acquisition of information specifying the emotional state, and more broadly, the dispositional properties of conspecifics. Finally, these results will be considered in terms of the ecological conceptualisation of psychological activity, with an emphasis on the social affordances specified by posed and genuine smiles respectively.
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Nyberg, Robert. "Social interaction with digital artefacts." Thesis, Malmö högskola, Institutionen för konst, kultur och kommunikation (K3), 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-21812.

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Pallamin, Nico. "Social interaction in virtual reality." Toulouse 3, 2008. http://thesesups.ups-tlse.fr/331/.

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L'interaction sociale en univers virtuel est un domaine émergent en l'informatique et en sciences sociales. L'objectif de cette recherche était de qualifier ce qu'est une interaction sociale et d'identifier les conditions que doit fournir un environnement virtuel pour qu'effectivement, cette interaction sociale puisse se dérouler (se co-construire). Nous nous sommes particulièrement intéressés à la dimension non verbale de la communication ainsi qu'à l'articulation entre animation intentionnelle et non intentionnelle. Alors qu'une grande partie des travaux dans ce domaine est basée sur un paradigme d'interaction entre humain et avatar, notre approche concerne l'interaction entre des avatars animés par des humains. Notre objectif était d'identifier un ensemble de règles d'interaction susceptibles de respecter deux principes fondamentaux de l'interaction sociale : la réflexivité et l'indexicalité. C'est la mise en œuvre de ces deux principes qui permettent aux acteurs humains de co-construire le sens de leur interaction en temps réel. Plutôt que de représenter toutes les fonctions cognitives humaines, nous avons développé un moteur d'animation capable de reproduire la dimension dynamique de l'interaction sociale. Ce moteur permet de gérer la fusion entre l'animation intentionnelle produite par l'acteur humain et les animations autonomes de l'avatar. La validation de notre modèle est basée sur une analyse ethnométhodologique visant à comparer les interactions sociales entre interlocuteurs en situation réel et en univers virtuel
Virtual reality is an emerging technology that has proved its great potentiality in various fields. In these last years, researchers start to investigate the problem of realistic and effective social interaction in virtual worlds. The aim of our research is to improve the level of efficiency of virtual communication focusing mostly on the role of non-verbal communication. Our approach is mostly based on non-deterministic social theories that stress the role of emergence and contextual intelligence in contraposition of the classical cognitive modelling and plan-based artificial intelligence. Considering the limits of artificial intelligence to reproduce in an effective way the complexity of human social interaction, we decide to develop an architecture able to leave the user free to exploit all his contextual intelligence to drive the social interaction. In such way we are able to grant that the characteristics of reflexivity and indexicality are taken in care during the interaction. The result of our work is a virtual environment in which a set of basic social interaction rules partially drive the behaviours of the avatars. The virtual reality platform includes an animation system that handle the priority between the animations driven by the automatic modules and the one controlled by the user. The user in then always in control of his avatar and can stop the automatic animations at any moment via his voluntary control. The validation of the model is based on a series of ethnomethodological analysis performed to directly compare similar social interactions between users in real world and in virtual environments
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Gong, Jyh-Chyi. "The dynamics of social interaction /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1997. http://wwwlib.umi.com/cr/ucsd/fullcit?p9804527.

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Esbjörnsson, Mattias. "Enhanced social interaction in traffic /." Göteborg : IT University of Göteborg, 2005. http://catalogue.bnf.fr/ark:/12148/cb40113268r.

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Roberts, Lynne D. "Social interaction in virtual environments." Thesis, Curtin University, 2001. http://hdl.handle.net/20.500.11937/322.

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The rapid growth of the internet over the past decade has provided increasing opportunities for individuals to engage in computer-mediated social interaction in virtual environments. Despite this rapid growth there has been limited research into the way people use the Internet, and the effect Internet use has on their lives (Kraut, 1996). The overall aim in the research presented in this thesis was to explore how characteristics of the individual interact with characteristics of computer-mediated communication to enable socio-emotional communication and behaviour in social text-based virtual environments. Three studies are presented. Studies One and Two are qualitative studies of social interaction in two text-based, synchronous ('real time') virtual environments: MOOs (Multi User Dimensions, Object Oriented) and Internet Relay' Chat (IRC). Grounded Theory (Glaser & Strauss, 1967) methodology was used to develop formal theories of social interaction within these environments. Stage models of virtual environment use were developed that described changes in social interaction over time. In MOOs, changes in social interaction over time reflected the process of coming to terms with what was initially viewed by users as an alternative reality. In IRC the central feature of social interaction that emerged was the perceived ease of communication. This was attributed to the effortlessness of meeting a wide range of potential communication partners in a social context where the communication itself was simplified to text only communication. The hypotheses developed from the qualitative research in Studies One and Two were tested in Study Three. This was a longitudinal study of new Internet users that examined the bi-directional effects of personality characteristics and computer-mediated communication on behaviour. Personality measures were poor predictors of time spent in both specific types of virtual environments and on-line in general. Based on the usage patterns across the three studies a decision pathway for the use of virtual environments was developed. A key finding across the studies was the potential for virtual environments to enhance psychological well-being for individuals who experience social discomfort in off-line settings. Limitations of the research were discussed and suggestions made for future research.
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Roberts, Lynne D. "Social interaction in virtual environments." Curtin University of Technology, School of Psychology, 2001. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=12792.

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The rapid growth of the internet over the past decade has provided increasing opportunities for individuals to engage in computer-mediated social interaction in virtual environments. Despite this rapid growth there has been limited research into the way people use the Internet, and the effect Internet use has on their lives (Kraut, 1996). The overall aim in the research presented in this thesis was to explore how characteristics of the individual interact with characteristics of computer-mediated communication to enable socio-emotional communication and behaviour in social text-based virtual environments. Three studies are presented. Studies One and Two are qualitative studies of social interaction in two text-based, synchronous ('real time') virtual environments: MOOs (Multi User Dimensions, Object Oriented) and Internet Relay' Chat (IRC). Grounded Theory (Glaser & Strauss, 1967) methodology was used to develop formal theories of social interaction within these environments. Stage models of virtual environment use were developed that described changes in social interaction over time. In MOOs, changes in social interaction over time reflected the process of coming to terms with what was initially viewed by users as an alternative reality. In IRC the central feature of social interaction that emerged was the perceived ease of communication. This was attributed to the effortlessness of meeting a wide range of potential communication partners in a social context where the communication itself was simplified to text only communication. The hypotheses developed from the qualitative research in Studies One and Two were tested in Study Three. This was a longitudinal study of new Internet users that examined the bi-directional effects of personality characteristics and computer-mediated communication on behaviour. Personality measures were poor predictors of time spent in ++
both specific types of virtual environments and on-line in general. Based on the usage patterns across the three studies a decision pathway for the use of virtual environments was developed. A key finding across the studies was the potential for virtual environments to enhance psychological well-being for individuals who experience social discomfort in off-line settings. Limitations of the research were discussed and suggestions made for future research.
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Books on the topic "Social interaction"

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Ira, Fisher, and Reinhart Susan M, eds. Speaking & social interaction. 2nd ed. Ann Arbor: University of Michigan Press, 2000.

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J, Derlega Valerian, and Barbee Anita P, eds. HIV & social interaction. Thousand Oaks, Calif: Sage Publications, 1998.

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Drew, Paul, and Elizabeth Couper-Kuhlen, eds. Requesting in Social Interaction. Amsterdam: John Benjamins Publishing Company, 2014. http://dx.doi.org/10.1075/slsi.26.

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Cekaite, Asta, and Lorenza Mondada, eds. Touch in Social Interaction. Abingdon, Oxon ; New York, NY : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.4324/9781003026631.

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Poutvaara, Panu. Smoking and social interaction. Bonn, Germany: IZA, 2007.

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Haddington, Pentti, Tiina Keisanen, Lorenza Mondada, and Maurice Nevile, eds. Multiactivity in Social Interaction. Amsterdam: John Benjamins Publishing Company, 2014. http://dx.doi.org/10.1075/z.187.

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Derlega, Valerian J., and Barbara A. Winstead, eds. Friendship and Social Interaction. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-4880-4.

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Dijk, Teun Adrianus van, 1943-, ed. Discourse as social interaction. London: SAGE, 1997.

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J, Derlega Valerian, and Winstead Barbara A, eds. Friendship and social interaction. New York: Springer-Verlag, 1986.

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W, Maynard Douglas, and American Sociological Association, eds. Language and social interaction. Washington, DC: American Sociological Association, 1987.

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Book chapters on the topic "Social interaction"

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German, Komi T., and Megan L. Robbins. "Social Interaction." In Encyclopedia of Personality and Individual Differences, 5075–79. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-319-24612-3_1838.

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Dwyer, Diana, and Jane Scampion. "Social Interaction." In Psychology A Level, 107–44. London: Macmillan Education UK, 1995. http://dx.doi.org/10.1007/978-1-349-13450-2_5.

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Lindsay, Morag. "Social Interaction." In Encyclopedia of Quality of Life and Well-Being Research, 6113–15. Dordrecht: Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2770.

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Neale, Michael C., and Lon R. Cardon. "Social Interaction." In Methodology for Genetic Studies of Twins and Families, 199–210. Dordrecht: Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-015-8018-2_10.

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Lechler, Thomas. "Social Interaction." In Entrepreneurial Excellence, 169–93. Wiesbaden: Deutscher Universitätsverlag, 2005. http://dx.doi.org/10.1007/978-3-322-81895-9_6.

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Kotarba, Joseph A. "Social Interaction." In Understanding Society through Popular Music, 21–40. Third edition. | New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315751641-2.

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German, Komi T., and Megan L. Robbins. "Social Interaction." In Encyclopedia of Personality and Individual Differences, 1–5. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-28099-8_1838-1.

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King, Jim, and Sam Morris. "Social Interaction." In The Routledge Handbook of the Psychology of Language Learning and Teaching, 313–24. New York: Routledge, 2021. http://dx.doi.org/10.4324/9780429321498-28.

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Banyard, Philip, and Andrew Grayson. "Social Interaction." In Introducing Psychological Research, 58–84. London: Macmillan Education UK, 2008. http://dx.doi.org/10.1007/978-1-349-99578-3_3.

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Lindsay, Morag. "Social Interaction." In Encyclopedia of Quality of Life and Well-Being Research, 6609–12. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17299-1_2770.

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Conference papers on the topic "Social interaction"

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Sihombing, Antony, Fabiola Nadhira Maharani, and Farrah Eriska Putri. "Social interaction and social interaction space at Depok Jaya." In THE 17TH INTERNATIONAL CONFERENCE ON QUALITY IN RESEARCH (QIR) 2021 IN CONJUNCTION WITH THE 6TH ITREC 2021 AND THE 2ND CAIC-SIUD. AIP Publishing, 2024. http://dx.doi.org/10.1063/5.0146078.

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Nyirenda, Tawona, and Lisa F. Seymour. "Social interaction online." In the 2009 Annual Conference of the Southern African Computer Lecturers' Association. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1562741.1562753.

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Zoppis, Italo, Riccardo Dondi, Eugenio Santoro, Gianluca Castelnuovo, Francesco Sicurello, and Giancarlo Mauri. "Optimizing Social Interaction." In International Workshop on Artificial Intelligence for Health. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0006730606510657.

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Flesch, Benjamin Johannes. "Social Interaction Model." In 2018 IEEE International Conference on Big Data (Big Data). IEEE, 2018. http://dx.doi.org/10.1109/bigdata.2018.8622346.

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"Collaboration, Social Interaction and Social Protocols." In 2008 IEEE 17th Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises. IEEE, 2008. http://dx.doi.org/10.1109/wetice.2008.59.

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Ludvigsen, Martin. "Designing for social interaction." In the 6th ACM conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1142405.1142459.

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Turk, Matthew, Jeremy Bailenson, Andrew Beall, Jim Blascovich, and Rosanna Guadagno. "Multimodal transformed social interaction." In the 6th international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1027933.1027942.

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Brown, Barry, and Marek Bell. "Social interaction in 'there'." In Extended abstracts of the 2004 conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/985921.986091.

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Esbjörnsson, Mattias, Oskar Juhlin, and Mattias Östergen. "Motorcycling and social interaction." In the 2003 international ACM SIGGROUP conference. New York, New York, USA: ACM Press, 2003. http://dx.doi.org/10.1145/958160.958174.

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Kellogg, W. A. "Session details: Social interaction." In DIS06: Designing Interactive Systems 2006. New York, NY, USA: ACM, 2006. http://dx.doi.org/10.1145/3244611.

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Reports on the topic "Social interaction"

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Saffer, Henry. The Demand for Social Interaction. Cambridge, MA: National Bureau of Economic Research, December 2005. http://dx.doi.org/10.3386/w11881.

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Hong, Harrison, Jeffrey Kubik, and Jeremy Stein. Social Interaction and Stock-Market Participation. Cambridge, MA: National Bureau of Economic Research, July 2001. http://dx.doi.org/10.3386/w8358.

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Deutsch, Stephen, and Michael Young. A Computational Dual-Process Model of Social Interaction. Fort Belvoir, VA: Defense Technical Information Center, January 2014. http://dx.doi.org/10.21236/ada612453.

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Saffer, Henry, and Karine Lamiraud. The Effect of Hours of Work on Social Interaction. Cambridge, MA: National Bureau of Economic Research, January 2008. http://dx.doi.org/10.3386/w13743.

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Bali, Turan, David Hirshleifer, Lin Peng, and Yi Tang. Attention, Social Interaction, and Investor Attraction to Lottery Stocks. Cambridge, MA: National Bureau of Economic Research, December 2021. http://dx.doi.org/10.3386/w29543.

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Igumnov, Oleg Aleksandrovich. "Economic imperialism" in social capital studies: interdisciplinary interaction problem. DOI CODE, 2023. http://dx.doi.org/10.18411/doicode-2023.148.

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Strobl, Matthew, Brian Southwell, Jason Norman, Lauren McCormack, and Paul Pulliam. Applying Social Science to Assess Public Interaction with Shale Gas. RTI Press, July 2016. http://dx.doi.org/10.3768/rtipress.2016.rb.0013.1607.

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Liu, Yang. Computational Modeling of Emotions and Affect in Social-Cultural Interaction. Fort Belvoir, VA: Defense Technical Information Center, October 2013. http://dx.doi.org/10.21236/ada591829.

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Luhr, Gretchen. The Effects of Frequency of Social Interaction, Social Cohesion, Age, and the Built Environment on Walking. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.3306.

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Birch, Izzy. Conflict-Sensitive Social Protection: Somalia Country Report. Institute of Development Studies, May 2023. http://dx.doi.org/10.19088/ids.2023.021.

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Abstract:
This is one of three country case studies (the others being of Kenya and Sudan) that explore the interaction between social protection and conflict in the Horn of Africa. In a context of weak central political authority and persistent conflict, Somalia’s fledgling social protection sector continues to lean heavily on humanitarian actors for its delivery.
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