Yufei Xia
Biographic Data
| ID | 3730723 |
|---|---|
| NAME | Yufei Xia |
| GIVEN NAMES | Yufei |
| FAMILY NAME | Xia |
| SIGNATURE | XIA Y |
| AFFILIATIONS | Jiangsu Normal University |
| ORCID | 0000-0003-1215-6128 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Large language model-facilitated interventions for enhancing psychological resilience in cyberbullying victims: Targeting self-esteem and self-compassion
摘要: 本研究以自尊和自悯为靶点, 探索大语言模型(Large Language Models, LLM)在干预网络欺凌受害者心理韧性中的效果与作用路径。研究1 (干预效果检验)采用随机对照设计, 比较自尊-自悯对话、心理教育对话和心理教育阅读三组的干预效果。结果显示两组对话式LLM均显著提升了心理韧性。研究2 (作用路径分析)进一步采用网络干预分析揭示干预作用路径, 发现自尊-自悯对话干预除了可以直接提高心理韧性外, 还可以靶向孤立感、正念和社交维度自尊, 通过自尊自悯多维度的相互作用, 提升干预效果。本研究首次聚焦自尊与自悯路径, 基于LLM构建具备共情交互能力的对话干预平台, 为网络欺凌受害者提供个性化心理支持, 并为智能化心理干预工具的开发提供理论依据与实践路径。
Merging to equalize: How village and town bank M&A narrows the urban–rural income gap
Ecliptasaponin A protects heart against acute ischemia-induced myocardial injury by inhibition of the HMGB1/TLR4/NF-κB pathway
Financial–industrial integration, green technology innovation, and enterprise’s green development performance: An empirical analysis of 625 listed industrial enterprises of China
Construction of China’s Green Institutional Environmental Index: Using Functional Data Analysis method
Examining the coordination between urbanization and eco-environment using coupling and spatial analyses: A case study in China
No prominent works on this page.
Examining the coordination between urbanization and eco-environment using coupling and spatial analyses: A case study in China
Construction of China’s Green Institutional Environmental Index: Using Functional Data Analysis method
Financial–industrial integration, green technology innovation, and enterprise’s green development performance: An empirical analysis of 625 listed industrial enterprises of China
Ecliptasaponin A protects heart against acute ischemia-induced myocardial injury by inhibition of the HMGB1/TLR4/NF-κB pathway
Large language model-facilitated interventions for enhancing psychological resilience in cyberbullying victims: Targeting self-esteem and self-compassion
摘要: 本研究以自尊和自悯为靶点, 探索大语言模型(Large Language Models, LLM)在干预网络欺凌受害者心理韧性中的效果与作用路径。研究1 (干预效果检验)采用随机对照设计, 比较自尊-自悯对话、心理教育对话和心理教育阅读三组的干预效果。结果显示两组对话式LLM均显著提升了心理韧性。研究2 (作用路径分析)进一步采用网络干预分析揭示干预作用路径, 发现自尊-自悯对话干预除了可以直接提高心理韧性外, 还可以靶向孤立感、正念和社交维度自尊, 通过自尊自悯多维度的相互作用, 提升干预效果。本研究首次聚焦自尊与自悯路径, 基于LLM构建具备共情交互能力的对话干预平台, 为网络欺凌受害者提供个性化心理支持, 并为智能化心理干预工具的开发提供理论依据与实践路径。
Merging to equalize: How village and town bank M&A narrows the urban–rural income gap
China (3 works) · Energy, Environment, Economic Growth (3 works) · Business (2 works) · Computer Science (2 works) · Economics (2 works) · Environmental Sustainability in Business (2 works) · Green development (2 works) · Sustainable development (2 works) · Accounting (1 works) · Advanced Glycation End Products research (1 works)