Large language model-facilitated interventions for enhancing psychological resilience in cyberbullying victims
Targeting self-esteem and self-compassion
Bibliographic Data
| ID | 23309802 |
|---|---|
| Authors | Tomoko Kishimoto (0000-0003-1223-4464, Beijing Normal University), Ximing HAO (Beijing Normal University), Ankar ASKAR (Beijing Normal University), Yufei Xia (0000-0003-1215-6128, Beijing Normal University), Qiyu Bai (0000-0001-7174-4320, Beijing Normal University) |
| Year | 2026 |
| Volume | 58 |
| Issue | 9 |
| Pages | 1751 |
| Publication date | 2026-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Acta Psychologica Sinica (JOURNAL) |
| Journal identifiers | ISSN: 0439-755X |
| Publisher | China Science Publishing & Media Ltd. (PUBLISHER) |
| DOI | 10.3724/sp.j.1041.2026.1751 |
| OpenAlex | W7171722033 |
| Language | EN |
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。
Intervention (counseling) · Psychological intervention · Psychological resilience · Resilience (materials science) · Digital Mental Health Interventions · Mental Health via Writing · Mindfulness and Compassion Interventions
| Citation velocity | historical |
|---|---|
| Highly cited | No |