透视图(图形)
信息过载
应对(心理学)
交易型领导
心理学
压力源
社会心理学
应用心理学
计算机科学
万维网
临床心理学
人工智能
作者
Ae Ri Lee,Soo-Min Son,Kyung Kyu Kim
标识
DOI:10.1016/j.chb.2015.08.011
摘要
In an always connected communication environment, users of social networking services (SNSs) need to pay continuous attention to the overwhelming volume of social demands from SNSs. These increased energy requirements may cause SNS fatigue, which can lead to physical and psychological strain. Using the transactional theory of stress and coping as the overarching theory, this study regards overload (i.e., stressors) as a core determinant of SNS fatigue (i.e., strain) and identifies three dimensions of overload – information overload, communication overload, and system feature overload. It also includes SNS characteristics as the antecedents of overload. The data used in this study were collected from 201 individuals through online and offline surveys. Our results show that all three dimensions of overload were significant stressors that influence SNS fatigue. Regarding the predictors of overload, the characteristics of the SNS system significantly influenced the features of system overload, while information equivocality positively influences information overload. However, information relevance was not a significant predictor of information overload and information equivocality was not a significant predictor of communication overload.
科研通智能强力驱动
Strongly Powered by AbleSci AI