The Experts below are selected from a list of 324 Experts worldwide ranked by ideXlab platform
Jae Eun Chung - One of the best experts on this subject based on the ideXlab platform.
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Social Interaction in online support groups: Preference for online Social Interaction over offline Social Interaction
Computers in Human Behavior, 2013Co-Authors: Jae Eun ChungAbstract:The purpose of the current study was to identify potential factors leading to preference for Social Interaction in online support groups (OSGs) over offline Interaction. By identifying such factors, the current study advances understanding of the way patients use the Internet as a supportive resource and integrate support from offline and online relationships. An online survey was conducted with current users of health-related OSGs (N=158). Findings show that those who were dissatisfied with the support they received from their current offline contacts were more likely to prefer Social Interaction in OSGs. Such a preference was prominent among those who built deeper Social relationships in OSGs. Results suggest that some people develop a preference for Social Interaction in OSGs over offline Interaction and use computer-mediated relationships as a possible alternative to offline support networks. Healthcare professionals and users as well as designers of OSGs must acknowledge the limits of online support and caution against the possibility of developing excessive reliance on online support resources.
Michael Charlton - One of the best experts on this subject based on the ideXlab platform.
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‘Para-Social Interaction’ – Social Interaction as a Matter of Fact?
Communications, 2001Co-Authors: Michael CharltonAbstract:Action theories about the process of mass communication are often theories explaining the behavior of individuals dealing with a Social matter. Either they describe how individuals deal with the hardware of media transfer, i.e., Interaction between man and machine, or they describe the cognitive and emotional Interaction between the text base and the corresponding mental model of the text, i.e., Interaction between concept formation and evaluation processes in the mind of the subjects. Hence, so-called para-Social Interaction between media protagonists and media recipients is often reconstructed as a special kind of individual mental behavior. Both producers as well as consumers are meant to act separately and independently. On this account mass communication is often seen as communication without reciprocity. But, as will be argued in this article, it is not strictly necessary to restrict the phenomenon of para-Social Interaction to the Social cognition of individuals. The Social usage theory of language offers an instrument to conceptualize language production and language comprehension as a joint action, even if the speaker and listener cannot see each other and do not act simultaneously. This point of view may be useful for a better understanding of the reasons why and the manner in which people perform certain communicative acts in the frame of mass communication
Lars-h. R. Siemers - One of the best experts on this subject based on the ideXlab platform.
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Smoking and Social Interaction
Journal of health economics, 2008Co-Authors: Panu Poutvaara, Lars-h. R. SiemersAbstract:We study the Social Interaction of non-smokers and smokers as a sequential game, incorporating insights from Social psychology and experimental economics into an economic model. Social norms affect human behavior such that non-smokers do not ask smokers in their midst to stop smoking, even though the disutility from smoking exceeds the utility from Social Interaction. Overall, the level of smoking is inefficient when tolerating smoking is the Social norm. The introduction of smoking and non-smoking areas does not overcome this specific inefficiency. We conclude that smoking bans may represent a required (second-best) policy.
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Smoking and Social Interaction
Munich Reprints in Economics, 2007Co-Authors: Panu Poutvaara, Lars-h. R. SiemersAbstract:We study the Social Interaction of non-smokers and smokers as a sequential game, incorporating insights from Social psychology and experimental economics into an economic model. Social norms affect human behavior such that non-smokers do not ask smokers to stop smoking and stay with them, even though disutility from smoking exceeds utility from Social Interaction. Overall, smoking is unduly often accepted when accommodating smoking is the Social norm. The introduction of smoking and non-smoking areas does not overcome this specific inefficiency. We conclude that smoking bans may represent a required (second-best) policy.
Ueli Kramer - One of the best experts on this subject based on the ideXlab platform.
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Social Interaction patterns, therapist responsiveness, and outcome in treatments for borderline personality disorder.
Psychology and psychotherapy, 2019Co-Authors: Silja Signer, Rafael Estermann Jansen, Rainer Sachse, Franz Caspar, Ueli KramerAbstract:OBJECTIVES Inflexible Social Interaction patterns are defining features of borderline personality disorder (BPD). Specific beliefs about the self and others may be activated across Interaction situations, often leading to instable relationships. It may be pivotal to address these difficulties in early treatment phases, through appropriate therapist responsiveness, which means an adaptation of therapist's activity to their client's behaviours using emerging information in the process (Stiles, 2009, Clinical Psychology: Science and Practice, 16, 86). DESIGN In this process-outcome study, responsiveness is operationalized by the motive-oriented therapeutic relationship (Caspar, 2007, Handbook of psychotherapeutic case formulations, 2nd ed., 251-289, Guilford), based on the Plan analysis case formulation. The present study assesses the interplay between Social Interaction problems and therapist responsiveness, explaining symptoms at discharge and the therapeutic alliance. METHOD In total, N = 50 clients with BPD entered the study, and standard and responsive treatments were compared. Social Interaction patterns were assessed by the newly developed Borderline Interaction Patterns Scale (BIPS), applied to recorded material of three sessions per therapy. Outcome was measured by general symptoms (OQ-45), borderline symptoms (BSL-23), interpersonal problems (IIP), and the therapeutic alliance (WAI). RESULTS Results suggest that in standard treatment, Social Interaction patterns are neither related to outcome nor the therapeutic alliance. In responsive treatment, more activation of Social Interaction patterns predicted better outcome on IIP and lower therapist ratings of the alliance. CONCLUSIONS The conclusions seem promising for specific effectiveness of responsive treatments in particular in the interpersonal problem area of BPD. Identifying Social Interaction patterns early in treatment may be a crucial pathway to change for BPD. PRACTITIONER POINTS Responsive therapy activating Social Interaction patterns may be crucial for better outcome. Future research should focus on mechanisms of change in early treatment phases for BPD. New scale for assessing Social Interaction patterns specific to borderline personality disorder.
Line Garnero - One of the best experts on this subject based on the ideXlab platform.
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inter brain synchronization during Social Interaction
PLOS ONE, 2010Co-Authors: Guillaume Dumas, Jacqueline Nadel, Robert Soussignan, Jacques Martinerie, Line GarneroAbstract:During Social Interaction, both participants are continuously active, each modifying their own actions in response to the continuously changing actions of the partner. This continuous mutual adaptation results in Interactional synchrony to which both members contribute. Freely exchanging the role of imitator and model is a well-framed example of Interactional synchrony resulting from a mutual behavioral negotiation. How the participants' brain activity underlies this process is currently a question that hyperscanning recordings allow us to explore. In particular, it remains largely unknown to what extent oscillatory synchronization could emerge between two brains during Social Interaction. To explore this issue, 18 participants paired as 9 dyads were recorded with dual-video and dual-EEG setups while they were engaged in spontaneous imitation of hand movements. We measured Interactional synchrony and the turn-taking between model and imitator. We discovered by the use of nonlinear techniques that states of Interactional synchrony correlate with the emergence of an interbrain synchronizing network in the alpha-mu band between the right centroparietal regions. These regions have been suggested to play a pivotal role in Social Interaction. Here, they acted symmetrically as key functional hubs in the interindividual brainweb. Additionally, neural synchronization became asymmetrical in the higher frequency bands possibly reflecting a top-down modulation of the roles of model and imitator in the ongoing Interaction.
