scholarly journals Extraversion level predicts perceived benefits from social resources and tool use

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Vincent Murday ◽  
Kévin Campos-Moinier ◽  
François Osiurak ◽  
Lionel Brunel

AbstractSocial baseline theory states that there are differences in how humans integrate social resources into their economy of action when they face environmental demands. However, although several authors suggested that extraversion may be an indicator of the social baseline, no study has demonstrated it. The present study aims to test this hypothesis and, in particular, examines whether extraversion is a specific indicator of the social baseline. In two experiments, participants were asked to move rolls either alone (with their hands), or with the help of a social resource (Experiment 1), or a tool (Experiment 2). Results showed that extraversion predicted the choice to use both types of resource. Specifically, the more participants were extraverted, the more they tended to consider the use of the social resource or the tool as beneficial. We argue that these results indicate that extraversion is not specifically an indicator of the social baseline, but rather an indicator of how individuals integrate technical and social resources into their economy of action. In addition, this study encourages future research endeavors to define what constitutes a resource and how it could fit into the Social Baseline Theory.

2021 ◽  
Author(s):  
◽  
Daniel Donoghue

<p>Social learning and network analyses are theorised to be of great utility in the context of behavioural conservation. For example, harnessing a species’ capacity for social learning may allow researchers to seed useful information into populations, while network analyses could provide a useful tool to monitor community stability, and predict pathways of pathogen transfer. Thus, an understanding of how individuals learn and the nature of the social networks within a population could enable the development of new behavioural based conservation interventions for species facing rapid environmental change, such as human-induced habitat modification. Parrots, the most threatened avian order worldwide, are notably underrepresented in the social learning and social network literature. This thesis addresses this knowledge gap by exploring social learning and networks using two endangered species of parrot; kākā (Nestor meridionalis) and kea (Nestor notabilis). The first study explores social learning of tool use in captive kea, using a trained kea demonstrator. The results from this experiment indicate that both social learning and play behaviour facilitated the uptake of tool use, and suggests that kea are highly sensitive to social information even when presented with complex tasks. The second study assesses whether wild kākā can socially learn novel string-pulling and food aversion behaviours from video playbacks of conspecific demonstrators. Although there was no evidence to indicate that kākā learn socially, these individuals also show no notable reaction to video playback of a familiar predator. Therefore, these results are likely due to difficulties in interpreting information on the screens, and not necessarily a reflection of their ability to perceive social information. In the final study, social network analysis (SNA) was performed to map social connectivity within wellington’s urban kākā population. SNA indicates that kākā form non-random social bonds, selectively associating with some individuals more than others, and also show high levels of dissimilarity in community composition at different feeding sites. Taken together, these results provide rare empirical evidence of social learning in a parrot species and suggest that even complicated seeded behaviours can quickly spread to other individuals. These findings may also be indicative of the difficulties in conducting video playback experiments in wild conditions, which is an area in need of future research. Overall, these findings contribute to the very limited body of research on social learning and networks in parrots, and provide information of potential value in the management of these species.</p>


2021 ◽  
Author(s):  
Daniel Donoghue

<p>Social learning and network analyses are theorised to be of great utility in the context of behavioural conservation. For example, harnessing a species’ capacity for social learning may allow researchers to seed useful information into populations, while network analyses could provide a useful tool to monitor community stability, and predict pathways of pathogen transfer. Thus, an understanding of how individuals learn and the nature of the social networks within a population could enable the development of new behavioural based conservation interventions for species facing rapid environmental change, such as human-induced habitat modification. Parrots, the most threatened avian order worldwide, are notably underrepresented in the social learning and social network literature. This thesis addresses this knowledge gap by exploring social learning and networks using two endangered species of parrot; kākā (Nestor meridionalis) and kea (Nestor notabilis). The first study explores social learning of tool use in captive kea, using a trained kea demonstrator. The results from this experiment indicate that both social learning and play behaviour facilitated the uptake of tool use, and suggests that kea are highly sensitive to social information even when presented with complex tasks. The second study assesses whether wild kākā can socially learn novel string-pulling and food aversion behaviours from video playbacks of conspecific demonstrators. Although there was no evidence to indicate that kākā learn socially, these individuals also show no notable reaction to video playback of a familiar predator. Therefore, these results are likely due to difficulties in interpreting information on the screens, and not necessarily a reflection of their ability to perceive social information. In the final study, social network analysis (SNA) was performed to map social connectivity within wellington’s urban kākā population. SNA indicates that kākā form non-random social bonds, selectively associating with some individuals more than others, and also show high levels of dissimilarity in community composition at different feeding sites. Taken together, these results provide rare empirical evidence of social learning in a parrot species and suggest that even complicated seeded behaviours can quickly spread to other individuals. These findings may also be indicative of the difficulties in conducting video playback experiments in wild conditions, which is an area in need of future research. Overall, these findings contribute to the very limited body of research on social learning and networks in parrots, and provide information of potential value in the management of these species.</p>


1986 ◽  
Vol 23 (2) ◽  
pp. 81-96 ◽  
Author(s):  
Pat M. Keith

A model of singleness in later life was developed to show how the social context may influence the personal and social resources of older, unmarried persons. The unmarried (especially the divorced) will be an increasing proportion of the aged population in the future, and they will require more services than will the married. Role transitions of the unmarried over the life course, finances, health, and social relationships of older singles are discussed with implications for practice and future research.


2020 ◽  
Vol 5 (11) ◽  
pp. 228-239
Author(s):  
Mohammad Izzamil Mohd Nasir ◽  
Asyirah Abdul Rahim

blue spaces. Attitude towards green-blue space were also studied. However, little attention is given to perceived benefits and attitude components in ecosystem service research. This paper aims to examine community attitudes towards urban green-blue spaces and its association with perceived benefits based on cultural ecosystem services concept. A questionnaire was conducted among 31 respondents of local community at Taiping Lake Garden, Perak. The data were analyzed using Statistical Package for the Social Science (SPSS) which involving multiple regression to capture the effects of attitude components on perceived benefits. The findings suggest that overall attitudes of respondents had an excellent level of perceived attitudes toward urban green-blue space. However, among three sub-construct of attitudes, only cognitive attitude was found to be the dominant variable compared to conative and affective attitude that predicts perceived cultural ecosystem benefits. This indicates that if the community could enhance their positive attitudes toward their urban green-blue space, they may perceive higher cultural ecosystem benefits. Future research should continue to explore ways of enhancing positive attitudes among urban community as attitude may guide them to enhance their engagement in urban green-blue spaces.


2020 ◽  
Author(s):  
PinYu Cui ◽  
Yuan Chen ◽  
YaXing Li ◽  
Nuremaguli WaiLi ◽  
Ying Li

Abstract BackgroundDependence is a common mental disorder among the elderly increases with increasing age,and can lead to serious health problems. This study aimed to assess the association between social resources and dependency, and explored the effect of social support on modification of important risk factors for dependency among elderly.Method The present study was a population-based cross-sectional study. A total of 950 participants aged ≥ 60 years were selected using a complex multistage sampling design from 22 locations in China. All data were collected using questionnaires by face-to-face interviews. The dependency was assessed using the standardized Minnesota Multiphasic Personality Inventory-II, and the social resource was assessed using the questionnaires of Older American Resources and Services (OARS) in Chinese version. The logistic regression analysis was used to evaluate the association between dependency and social resources. The analysis of covariance was performed to evaluate the effect of social support on modification of important risk factors for dependency.ResultsA total of 913 participants were included in the analysis, and 10.3% of males and 14.4% of females were identified as dependency. The results of logistic regression analysis showed that a significant negative association between the levels of social resource and dependency. The odds ratio was 0.78 (95% CI, 0.73–0.84) after adjusting for important confounding factors. The results of analysis of covariance showed the differences in the mean dependency score between different chronic disease status and social support level.ConclusionThe levels of social resources were negatively associated with dependency. Our results suggest that the social support had both a direct effect on dependency and an indirect effect through modifying chronic disease status and individual income.


2021 ◽  
Author(s):  
Daniel Donoghue

<p>Social learning and network analyses are theorised to be of great utility in the context of behavioural conservation. For example, harnessing a species’ capacity for social learning may allow researchers to seed useful information into populations, while network analyses could provide a useful tool to monitor community stability, and predict pathways of pathogen transfer. Thus, an understanding of how individuals learn and the nature of the social networks within a population could enable the development of new behavioural based conservation interventions for species facing rapid environmental change, such as human-induced habitat modification. Parrots, the most threatened avian order worldwide, are notably underrepresented in the social learning and social network literature. This thesis addresses this knowledge gap by exploring social learning and networks using two endangered species of parrot; kākā (Nestor meridionalis) and kea (Nestor notabilis). The first study explores social learning of tool use in captive kea, using a trained kea demonstrator. The results from this experiment indicate that both social learning and play behaviour facilitated the uptake of tool use, and suggests that kea are highly sensitive to social information even when presented with complex tasks. The second study assesses whether wild kākā can socially learn novel string-pulling and food aversion behaviours from video playbacks of conspecific demonstrators. Although there was no evidence to indicate that kākā learn socially, these individuals also show no notable reaction to video playback of a familiar predator. Therefore, these results are likely due to difficulties in interpreting information on the screens, and not necessarily a reflection of their ability to perceive social information. In the final study, social network analysis (SNA) was performed to map social connectivity within wellington’s urban kākā population. SNA indicates that kākā form non-random social bonds, selectively associating with some individuals more than others, and also show high levels of dissimilarity in community composition at different feeding sites. Taken together, these results provide rare empirical evidence of social learning in a parrot species and suggest that even complicated seeded behaviours can quickly spread to other individuals. These findings may also be indicative of the difficulties in conducting video playback experiments in wild conditions, which is an area in need of future research. Overall, these findings contribute to the very limited body of research on social learning and networks in parrots, and provide information of potential value in the management of these species.</p>


Crisis ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 202-206 ◽  
Author(s):  
Karl Andriessen ◽  
Dolores Angela Castelli Dransart ◽  
Julie Cerel ◽  
Myfanwy Maple

Abstract. Background: Suicide can have a lasting impact on the social life as well as the physical and mental health of the bereaved. Targeted research is needed to better understand the nature of suicide bereavement and the effectiveness of support. Aims: To take stock of ongoing studies, and to inquire about future research priorities regarding suicide bereavement and postvention. Method: In March 2015, an online survey was widely disseminated in the suicidology community. Results: The questionnaire was accessed 77 times, and 22 records were included in the analysis. The respondents provided valuable information regarding current research projects and recommendations for the future. Limitations: Bearing in mind the modest number of replies, all from respondents in Westernized countries, it is not known how representative the findings are. Conclusion: The survey generated three strategies for future postvention research: increase intercultural collaboration, increase theory-driven research, and build bonds between research and practice. Future surveys should include experiences with obtaining research grants and ethical approval for postvention studies.


2018 ◽  
Author(s):  
Jay Joseph Van Bavel

We review literature from several fields to describe common experimental tasks used to measure human cooperation as well as the theoretical models that have been used to characterize cooperative decision-making, as well as brain regions implicated in cooperation. Building on work in neuroeconomics, we suggest a value-based account may provide the most powerful understanding the psychology and neuroscience of group cooperation. We also review the role of individual differences and social context in shaping the mental processes that underlie cooperation and consider gaps in the literature and potential directions for future research on the social neuroscience of cooperation. We suggest that this multi-level approach provides a more comprehensive understanding of the mental and neural processes that underlie the decision to cooperate with others.


2020 ◽  
Author(s):  
Jay Joseph Van Bavel ◽  
Elizabeth Ann Harris ◽  
Philip Pärnamets ◽  
Steve Rathje ◽  
Kimberly Doell ◽  
...  

The spread of misinformation, including “fake news,” propaganda, and conspiracy theories, represents a serious threat to society, as it has the potential to alter beliefs, behavior, and policy. Research is beginning to disentangle how and why misinformation is spread and identify processes that contribute to this social problem. We propose an integrative model to understand the social, political, and cognitive psychology risk factors that underlie the spread of misinformation and highlight strategies that might be effective in mitigating this problem. However, the spread of misinformation is a rapidly growing and evolving problem; thus scholars need to identify and test novel solutions, and work with policy makers to evaluate and deploy these solutions. Hence, we provide a roadmap for future research to identify where scholars should invest their energy in order to have the greatest overall impact.


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