The sense of should: A biologically-based framework for modeling social pressure

Theriault, Jordan; Young, Liane; Barrett, Lisa Feldman

doi:10.1016/j.plrev.2020.01.004

Cited by 92 publications

(145 citation statements)

References 262 publications

(411 reference statements)

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“… Frith and Frith, 2012 ; Timmermans et al , 2012 ). Additionally, making yourself predictable can help increase your chances of continuing to interact with others ( Coan and Sbarra, 2015 ), while potentially decreasing metabolic cost, which has been thought of as a function of prediction error ( Theriault et al , 2019 ). In brief, interpersonal similarity of friends can be considered as adaptive, as it might serve for uncertainty decrease in social interactions by fostering reliability ( Massen and Koski, 2014 ).…”

Section: Discussionmentioning

confidence: 99%

Interpersonal similarity of autistic traits predicts friendship quality

Bolis

Lahnakoski

Seidel

et al. 2020

Social Cognitive and Affective Neuroscience

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Autistic traits are known to be associated with social interaction difficulties. Yet, somewhat paradoxically, relevant research has been typically restricted to studying individuals. In line with the ‘dialectical misattunement hypothesis’ and clinical insights of intact social interactions amongst autistic individuals, we hypothesized that friendship quality varies as a function of interpersonal similarity and more concretely the difference value of autistic traits in a dyad, above and beyond autistic traits per se. Therefore, in this study, we used self-report questionnaires to investigate these measures in a sample of 67 neurotypical dyads across a broad range of autistic traits. Our results demonstrate that the more similar two persons are in autistic traits, the higher is the perceived quality of their friendship, irrespective of friendship duration, age, sex and importantly, the (average of) autistic traits in a given dyad. More specifically, higher interpersonal similarity of autistic traits was associated with higher measures of closeness, acceptance and help. These results, therefore, lend support to the idea of an interactive turn in the study of social abilities across the autism spectrum and pave the way for future studies on the multiscale dynamics of social interactions.

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Section: Discussionmentioning

confidence: 99%

Interpersonal similarity of autistic traits predicts friendship quality

Bolis

Lahnakoski

Seidel

et al. 2020

Social Cognitive and Affective Neuroscience

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“…Global-scale environmental issues, from climate change to biosphere integrity [1], are creating an intense social pressure and a growing need for information with appropriate reliability and suitable spatial scale (from the local to global analysis and vice versa) that must be provided by the scientific community [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Earth Observation and Biodiversity Big Data for Forest Habitat Types Classification and Mapping

et al. 2021

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In the light of the “Biological Diversity” concept, habitats are cardinal pieces for biodiversity quantitative estimation at a local and global scale. In Europe EUNIS (European Nature Information System) is a system tool for habitat identification and assessment. Earth Observation (EO) data, which are acquired by satellite sensors, offer new opportunities for environmental sciences and they are revolutionizing the methodologies applied. These are providing unprecedented insights for habitat monitoring and for evaluating the Sustainable Development Goals (SDGs) indicators. This paper shows the results of a novel approach for a spatially explicit habitat mapping in Italy at a national scale, using a supervised machine learning model (SMLM), through the combination of vegetation plot database (as response variable), and both spectral and environmental predictors. The procedure integrates forest habitat data in Italy from the European Vegetation Archive (EVA), with Sentinel-2 imagery processing (vegetation indices time series, spectral indices, and single bands spectral signals) and environmental data variables (i.e., climatic and topographic), to parameterize a Random Forest (RF) classifier. The obtained results classify 24 forest habitats according to the EUNIS III level: 12 broadleaved deciduous (T1), 4 broadleaved evergreen (T2) and eight needleleaved forest habitats (T3), and achieved an overall accuracy of 87% at the EUNIS II level classes (T1, T2, T3), and an overall accuracy of 76.14% at the EUNIS III level. The highest overall accuracy value was obtained for the broadleaved evergreen forest equal to 91%, followed by 76% and 68% for needleleaved and broadleaved deciduous habitat forests, respectively. The results of the proposed methodology open the way to increase the EUNIS habitat categories to be mapped together with their geographical extent, and to test different semi-supervised machine learning algorithms and ensemble modelling methods.

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“…Social pressure is conformist behaviour with multiple determinations when an individual or group craves specific social attention; this leads them to behave in certain ways unconcerned of any prestige advantage [39]. A recent study conducted by [13] showed how computer-meditated communication is portrayed and influenced by robust rules of conduct, where communication arrangements are under constant social pressure.…”

Section: Social Pressure and Fear Of Missing Out As Stimulus To Relatmentioning

confidence: 99%

Connected at Sea: The Influence of the Internet and Online Communication on the Well-Being and Life Satisfaction of Cruise Ship Employees

Radić

Ariza-Montes

Perlines

et al. 2020

IJERPH

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This study aims to elucidate the idiosyncratic effects of the Internet and online communication on the well-being and life satisfaction of cruise ship employees. Cross-sectional surveys and covariance-based structural equation modelling tools were used. In addition, univariate variance analysis was used to address the effects of socio-demographic variables (years of service on a cruise ship, working department on a cruise ship, gender, age, educational level and place of residency) on latent variables of the conceptual model. The conceptual model draws on existing theory and previous research and was empirically tested on a sample of cruise ship employee internet users. Result show that while being onboard a cruise ship, employees experience strong social pressure to be constantly available and they fear of missing out on important information and life events. Thus, relatedness to friends and family needs satisfaction is of paramount importance for cruise ship employees because they are fully aware that they are dispensable and replaceable to cruise ship companies, however to their friends and family, they are indispensable and unique. Moreover, employees who engage in other tasks/activities while taking part in online communication with friends and family exhibit reduced performance, which leads to poor interaction and social dissatisfaction. Lastly, employees experiencing under-reciprocating exchanges show significant negative effects on their well-being. Overall, the results provided several important theoretical and practical implications relevant to cruise tourism and human resource management.The recent advancements in communication technologies have altered how human beings communicate and associate with one another [24]. The belief that free Internet is a moral human right [10] and should be provided to all seafarers, including cruise ship employees [5] has become increasingly popular. Internet access enhances our lives by providing free, instant, worldwide communication [10]; social network sites play central roles in our everyday activities [25] due to their capability to extend and connect social capital that has stimulating effects on personal psychological well-being [26]. Internet and online communication were introduced as a vision of a connected world where anybody could share experiences and feel less alone [27].

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The sense of should: A biologically-based framework for modeling social pressure

Cited by 92 publications

References 262 publications

Interpersonal similarity of autistic traits predicts friendship quality

Interpersonal similarity of autistic traits predicts friendship quality

Earth Observation and Biodiversity Big Data for Forest Habitat Types Classification and Mapping

Connected at Sea: The Influence of the Internet and Online Communication on the Well-Being and Life Satisfaction of Cruise Ship Employees

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