相关实验视频
Updated: Jan 14, 2026

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Decoding Natural Behavior from Neuroethological Embedding
Published on: October 3, 2025
587
通过对9000多个自由文本叙事进行主题建模分析来解读自我同情的思想
Hirohito Okano1, Michio Nomura2
1Graduate School of Education, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto, 606-8501, Japan. okahito75@gmail.com.
Scientific reports
|October 21, 2025
概括
较高的自我同情与适应性思维 (如解决问题和乐观) 有关,而较低的自我同情与自我批评和不采取行动有关. 这些模式为管理困难情况提供了细微的见解.
科学领域:
- 心理学 心理学 心理学
- 认知科学 认知科学
- 行为科学 行为科学
背景情况:
- 自我同情,或在困难时期对自己表现出同情心,已被广泛研究.
- 与自我同情相关的特定的认知和行为模式仍然不清楚.
研究的目的:
- 识别与不同程度的自我同情相关的认知和行为模式.
- 探索这些模式中的特定背景变化.
主要方法:
- 利用了780名日本成年人描述困难情况的自由文本回应的结构性话题建模.
- 与已识别的主题相关的自我同情评分 (自我同情量表和同情参与和行动量表).
主要成果:
- 高度的自我同情与解决问题,平衡的乐观和灵活的反应有关.
- 低自我同情与自我批评,社会比较,嫉妒和抑郁的不作为有关.
- 观察到特定环境的模式:平衡的乐观在痛苦/失败,灵活的响应在承认缺点.
结论:
- 自我同情与适应性认知和行为策略有关.
- 使用自由文本数据的数据驱动方法揭示了细微的自我同情过程.
- 研究结果提供了情境敏感的见解,了解自我同情在解决困难中的作用.
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