AIM: To provide a structural model of the relationship between personality traits, perceived stress, coping strategies, social support, and psychological outcomes in the general population.METHODS: This is a cross sec...AIM: To provide a structural model of the relationship between personality traits, perceived stress, coping strategies, social support, and psychological outcomes in the general population.METHODS: This is a cross sectional study in which the study group was selected using multistage cluster and convenience sampling among a population of 4 million. For data collection, a total of 4763 individuals were asked to complete a questionnaire on demographics, personality traits, life events, coping with stress, social support, and psychological outcomes such as anxiety and depression. To evaluate the comprehensive relation-ship between the variables, a path model was fitted.RESULTS: The standard electronic modules showed that personality traits and perceived stress are important determinants of psychological outcomes. Social support and coping strategies were demonstrated to reduce the increasing cumulative positive effects of neuroticism and perceived stress on the psychological outcomes and enhance the protective effect of extraversion through decreasing the positive effect of perceived stress on the psychological outcomes. CONCLUSION: Personal resources play an important role in reduction and prevention of anxiety and depression. In order to improve the psychological health, it is necessary to train and reinforce the adaptive coping strategies and social support, and thus, to moderate negative personality traits.展开更多
The function of a network is affected by its structure. For example, the presence of highly interactive individuals, or hubs, influences the extent and rate of information spread across a network. In a network of inte...The function of a network is affected by its structure. For example, the presence of highly interactive individuals, or hubs, influences the extent and rate of information spread across a network. In a network of interactions, the duration over which individual variation in interactions persists may affect how the network operates. Individuals may persist in their behavior over time and across situations, often referred to as personality. Colonies of social insects are an example of a biological system in which the structure of the coordinated networks of interacting workers may greatly influence information flow within the colony, and therefore its collective behavior. Here I investigate the effects of persistence in walking patterns on interaction networks us- ing computer simulations that are parameterized using observed behavior of harvester ants. I examine how the duration of persis- tence in spatial behavior influences network structure. Furthermore, I explore how spatial features of the environment affect the relationship between persistent behavior and network structure. I show that as persistence increases, the skewness of the weighted degree distribution of the interaction network increases. However, this relationship holds only when ants are confined in a space with boundaries, but not when physical barriers are absent. These findings suggest that the influence of animal personalities on network structure and function depends on the environment in which the animals reside [Current Zoology 61 （1）： 98-106, 2015].展开更多
Panic is a common emotion when pedestrians are in danger during the actual evacuation, which can affect pedestrians a lot and may lead to fatalities as people are crushed or trampled. However, the systematic studies a...Panic is a common emotion when pedestrians are in danger during the actual evacuation, which can affect pedestrians a lot and may lead to fatalities as people are crushed or trampled. However, the systematic studies and quantitative analysis of evacuation panic, such as panic behaviors, panic evolution, and the stress responses of pedestrians with different personality traits to panic emotion are still rare. Here, combined with the theories of OCEAN(openness, conscientiousness,extroversion, agreeableness, neuroticism) model and SIS(susceptible, infected, susceptible) model, an extended cellular automata model is established by the floor field method in order to investigate the dynamics of panic emotion in the crowd and dynamics of pedestrians affected by emotion. In the model, pedestrians are divided into stable pedestrians and sensitive pedestrians according to their different personality traits in response to emotion, and their emotional state can be normal or panic. Besides, emotion contagion, emotion decay, and the influence of emotion on pedestrian movement decision-making are also considered. The simulation results show that evacuation efficiency will be reduced, for panic pedestrians may act maladaptive behaviors, thereby making the crowd more chaotic. The results further suggest that improving pedestrian psychological ability and raising the standard of management can effectively increase evacuation efficiency. And it is necessary to reduce the panic level of group as soon as possible at the beginning of evacuation. We hope this research could provide a new method to analyze crowd evacuation in panic situations.展开更多
Background::HIV/AIDS has transformed into a chronic controllable but not yet curable infectious disease as other chronic diseases to some extent.The additional of so called fourth 90%that included the improved health-...Background::HIV/AIDS has transformed into a chronic controllable but not yet curable infectious disease as other chronic diseases to some extent.The additional of so called fourth 90%that included the improved health-related quality of life(HRQoL)for people living with HIV(PLWHIV)required solutions beyond antiretroviral therapy and viral load suppression.This study will explore the role of personality,social economic and prevention strategy effection on HRQoL among people living with HIV/AIDS.Methods::A cross-sectional study was conducted among PLWHIV aged more than 16 years old in the 10 municipalities in Yunnan Province,China from October 2019 to May 2020,enrolling total 1997 participants.Individual-level HRQoL data were measured by 12-item Short Form Health Survey(SF-12)and EuroQol Five Dimensions Questionnaire(EQ-5D-5L).We assembled municipal-level data about social economic from Yunnan Statistical Yearbook in 2020 and strategy practice information from the self-evaluation system.We used the principal component analysis to build the social economic and strategy effect on each area respectively and one-way ANOVA was used to perform univariate analysis to identify the predictors with significant differences.Finally we used multi-level model(MLM)to explore the personality,social economic and strategy effects in health-related quality of life among PLWHIV.Results::The global score for quality of life measured using EQ-5D-5L had an estimated mean score(standard deviation,SD)of 0.901±0.146.The HRQoL score measured using PCS-12 had an estimated mean score(SD)of 46.62±8.55.The mean MCS-12 score(SD)was estimated to be 47.80±9.71.The area-level predictors explained a proportion of 13.6-17.2%for the between-area variation of the HRQoL scores,regardless of the total HRQoL,physical component and mental component.The impacts of stigma(P<0.01),social support(P<0.001),anxiety(P<0.001),depression(P<0.05)and social economic status(P<0.05)on HRQoL at the individual-level were significantly different.The plots visualized the 展开更多
As more and more social robots are applied in human-populated environments,they need an affective model to communicate with human beings naturally and believably.In addition,the model should be flexible to be applied ...As more and more social robots are applied in human-populated environments,they need an affective model to communicate with human beings naturally and believably.In addition,the model should be flexible to be applied in different areas,such as entertainment and education,and can be easily understood and operated by robot designers.To meet these requirements,we propose an affective model including emotions,moods and personality traits for social robots to mimic the affect changes of human beings.Inspired by the Plutchik's Wheel of Emotions,we first construct an affective space which can simultaneously represent the affective concepts.According to the affective space,the model can be visualized vividly and easily understood.We then describe the interaction among these concepts to change the robot states to make the robot interact with human beings naturally and believably.By tuning the parameters of the model,it can be flexibly applied in different areas.We evaluate the proposed model in simulation and human-robot interaction experiments and the experimental results show that the model is effective.展开更多
This study examined the influence of Big Five personality traits on Facebook usage and examined the interactions of traits in this context based on Torgersen’s (1995) typological approach. The effect of self-esteem, ...This study examined the influence of Big Five personality traits on Facebook usage and examined the interactions of traits in this context based on Torgersen’s (1995) typological approach. The effect of self-esteem, narcissism, loneliness, shyness and boredom proneness on Facebook usage was also investigated. The sample included both student (N = 190) and (N = 184) non-student samples. Narcissism was the strongest predictor of time spent on Facebook per day for both students and non-students. Narcissism was also the strongest predictor of number of daily logins for non-students, however, agreeableness was the strongest predictor of logins for students. Extraversion was the strongest predictor of number of Facebook friends for both students and non- students, however the interaction of Extraversion and Neuroticism was also a predictor of Facebook friends for students, and the interaction of Extraversion and Conscientiousness for non-students. Future research should consider the combined effect of personality traits on overall Facebook use.展开更多
文摘AIM: To provide a structural model of the relationship between personality traits, perceived stress, coping strategies, social support, and psychological outcomes in the general population.METHODS: This is a cross sectional study in which the study group was selected using multistage cluster and convenience sampling among a population of 4 million. For data collection, a total of 4763 individuals were asked to complete a questionnaire on demographics, personality traits, life events, coping with stress, social support, and psychological outcomes such as anxiety and depression. To evaluate the comprehensive relation-ship between the variables, a path model was fitted.RESULTS: The standard electronic modules showed that personality traits and perceived stress are important determinants of psychological outcomes. Social support and coping strategies were demonstrated to reduce the increasing cumulative positive effects of neuroticism and perceived stress on the psychological outcomes and enhance the protective effect of extraversion through decreasing the positive effect of perceived stress on the psychological outcomes. CONCLUSION: Personal resources play an important role in reduction and prevention of anxiety and depression. In order to improve the psychological health, it is necessary to train and reinforce the adaptive coping strategies and social support, and thus, to moderate negative personality traits.
文摘The function of a network is affected by its structure. For example, the presence of highly interactive individuals, or hubs, influences the extent and rate of information spread across a network. In a network of interactions, the duration over which individual variation in interactions persists may affect how the network operates. Individuals may persist in their behavior over time and across situations, often referred to as personality. Colonies of social insects are an example of a biological system in which the structure of the coordinated networks of interacting workers may greatly influence information flow within the colony, and therefore its collective behavior. Here I investigate the effects of persistence in walking patterns on interaction networks us- ing computer simulations that are parameterized using observed behavior of harvester ants. I examine how the duration of persis- tence in spatial behavior influences network structure. Furthermore, I explore how spatial features of the environment affect the relationship between persistent behavior and network structure. I show that as persistence increases, the skewness of the weighted degree distribution of the interaction network increases. However, this relationship holds only when ants are confined in a space with boundaries, but not when physical barriers are absent. These findings suggest that the influence of animal personalities on network structure and function depends on the environment in which the animals reside [Current Zoology 61 （1）： 98-106, 2015].
基金the National Natural Science Foundation of China (Grant Nos. 71790613 and 72091512)the Science and Technology Innovation Program of Hunan Province, China (Grant No. 2020SK2004)。
文摘Panic is a common emotion when pedestrians are in danger during the actual evacuation, which can affect pedestrians a lot and may lead to fatalities as people are crushed or trampled. However, the systematic studies and quantitative analysis of evacuation panic, such as panic behaviors, panic evolution, and the stress responses of pedestrians with different personality traits to panic emotion are still rare. Here, combined with the theories of OCEAN(openness, conscientiousness,extroversion, agreeableness, neuroticism) model and SIS(susceptible, infected, susceptible) model, an extended cellular automata model is established by the floor field method in order to investigate the dynamics of panic emotion in the crowd and dynamics of pedestrians affected by emotion. In the model, pedestrians are divided into stable pedestrians and sensitive pedestrians according to their different personality traits in response to emotion, and their emotional state can be normal or panic. Besides, emotion contagion, emotion decay, and the influence of emotion on pedestrian movement decision-making are also considered. The simulation results show that evacuation efficiency will be reduced, for panic pedestrians may act maladaptive behaviors, thereby making the crowd more chaotic. The results further suggest that improving pedestrian psychological ability and raising the standard of management can effectively increase evacuation efficiency. And it is necessary to reduce the panic level of group as soon as possible at the beginning of evacuation. We hope this research could provide a new method to analyze crowd evacuation in panic situations.
基金Our study was supported by National Nature Science Foundation of China(No.71904166)Yunnan high-level medical cultivation programme(No.H-2018103)13th Five-year National S&T Major Project for Comprehensive Pilots(No.2018ZX10715006).
文摘Background::HIV/AIDS has transformed into a chronic controllable but not yet curable infectious disease as other chronic diseases to some extent.The additional of so called fourth 90%that included the improved health-related quality of life(HRQoL)for people living with HIV(PLWHIV)required solutions beyond antiretroviral therapy and viral load suppression.This study will explore the role of personality,social economic and prevention strategy effection on HRQoL among people living with HIV/AIDS.Methods::A cross-sectional study was conducted among PLWHIV aged more than 16 years old in the 10 municipalities in Yunnan Province,China from October 2019 to May 2020,enrolling total 1997 participants.Individual-level HRQoL data were measured by 12-item Short Form Health Survey(SF-12)and EuroQol Five Dimensions Questionnaire(EQ-5D-5L).We assembled municipal-level data about social economic from Yunnan Statistical Yearbook in 2020 and strategy practice information from the self-evaluation system.We used the principal component analysis to build the social economic and strategy effect on each area respectively and one-way ANOVA was used to perform univariate analysis to identify the predictors with significant differences.Finally we used multi-level model(MLM)to explore the personality,social economic and strategy effects in health-related quality of life among PLWHIV.Results::The global score for quality of life measured using EQ-5D-5L had an estimated mean score(standard deviation,SD)of 0.901±0.146.The HRQoL score measured using PCS-12 had an estimated mean score(SD)of 46.62±8.55.The mean MCS-12 score(SD)was estimated to be 47.80±9.71.The area-level predictors explained a proportion of 13.6-17.2%for the between-area variation of the HRQoL scores,regardless of the total HRQoL,physical component and mental component.The impacts of stigma(P<0.01),social support(P<0.001),anxiety(P<0.001),depression(P<0.05)and social economic status(P<0.05)on HRQoL at the individual-level were significantly different.The plots visualized the
基金the National Natural Science Foundation of China(No.91748101).
文摘As more and more social robots are applied in human-populated environments,they need an affective model to communicate with human beings naturally and believably.In addition,the model should be flexible to be applied in different areas,such as entertainment and education,and can be easily understood and operated by robot designers.To meet these requirements,we propose an affective model including emotions,moods and personality traits for social robots to mimic the affect changes of human beings.Inspired by the Plutchik's Wheel of Emotions,we first construct an affective space which can simultaneously represent the affective concepts.According to the affective space,the model can be visualized vividly and easily understood.We then describe the interaction among these concepts to change the robot states to make the robot interact with human beings naturally and believably.By tuning the parameters of the model,it can be flexibly applied in different areas.We evaluate the proposed model in simulation and human-robot interaction experiments and the experimental results show that the model is effective.
文摘This study examined the influence of Big Five personality traits on Facebook usage and examined the interactions of traits in this context based on Torgersen’s (1995) typological approach. The effect of self-esteem, narcissism, loneliness, shyness and boredom proneness on Facebook usage was also investigated. The sample included both student (N = 190) and (N = 184) non-student samples. Narcissism was the strongest predictor of time spent on Facebook per day for both students and non-students. Narcissism was also the strongest predictor of number of daily logins for non-students, however, agreeableness was the strongest predictor of logins for students. Extraversion was the strongest predictor of number of Facebook friends for both students and non- students, however the interaction of Extraversion and Neuroticism was also a predictor of Facebook friends for students, and the interaction of Extraversion and Conscientiousness for non-students. Future research should consider the combined effect of personality traits on overall Facebook use.
