摘要
随着社会竞争日益激烈,由心理压力引发的青少年精神健康问题已经成为全球关注的重要话题。文章将从社交网络计算的角度对个体压力评估的一般过程、数据类型和测量方法进行梳理,对青少年使用社交网络现状和基于社交网络进行压力和危机评估的最新研究进行系统归纳,并提出构建群体层面的青少年压力与心理危机预警系统。未来研究将关注积极事件和多种内部、外部因素对青少年个体压力的影响,为初中和高中提供群体层面的智能化青少年心理压力评估和预警工具,从而提升校园心理健康工作者的效率,助力青少年健康发展。
With the increasingly fierce social competition,mental health problems of adolescents caused by psychological stress have become an important issue of global concern.This paper reviews the general processes,data types,and measurement methods for assessing individual stress detection using social network computing and systematically summarizes the current situation of adolescents'use of social networks and the latest research on stress and crisis detection based on these networks.The author proposes a framework for constructing a group-level early warning system for adolescents’stress and crises.Future research will focus on the impact of positive events and various internal and external factors on individual adolescent stress,and aims to provide intelligent tools for group-level stress assessment and early warning in junior and senior high schools,thus improving the efficiency of mental health workers and helping the healthy development of adolescents.
作者
李琦
孙聪慧
刘振华
乔志宏
LI Qi;SUN Conghui;LIU Zhenhua;QIAO Zhihong(Faculty of Psychology,Beijing Normal University,Beijing Key Laboratory of Applied Experimental Psychology,National Demonstration Center for Experimental Psychology Education(Beijing Normal University),Beijing 100875,China)
出处
《心理学通讯》
2025年第2期154-162,共9页
Psychological Communications
基金
国家自然科学基金(62006022)。
关键词
群体压力
心理危机
青少年
社交网络
深度学习
group-level stress
psychological crisis
adolescent
social network
deep learning
