信息资源管理学报 ›› 2026, Vol. 16 ›› Issue (4): 81-93.doi: 10.13365/j.jirm.2026.04.081

• 学术专栏-人智交互中的信息行为与服务 • 上一篇    下一篇

以情补拙:AI服务失败情境下情感补救策略研究综述

孟素洁1 叶建梅1 高诗洁1 马烨2 王伟军2   

  1. 1.华中师范大学青少年网络心理与行为教育部重点实验室,武汉,430079; 
    2.北京城市学院公共管理学部,北京,100094
  • 出版日期:2026-07-26 发布日期:2026-09-21
  • 作者简介:孟素洁,博士研究生,研究方向为人智交互心理与行为;叶建梅,博士研究生,研究方向为人智交互心理与行为;高诗洁,硕士研究生,研究方向为人智交互心理与行为;马烨,博士,副教授、硕士生导师,研究方向为社会工作服务管理;王伟军(通讯作者),博士,教授、博士生导师,研究方向为人智交互行为、数智化心理测评及服务,Email: wangwj919@163.com。
  • 基金资助:
    本文系国家社会科学基金重大项目“ 人本人工智能驱动的信息服务体系重构与应用研究”(22&ZD324)的研究成果之一。

Repairing with Emotion: A Review of Emotional Recovery Strategies in AI Service Failure Contexts

Meng Sujie1 Ye Jianmei1 Gao Shijie1 Ma Ye2 Wang Weijun2   

  1. 1.Key Laboratory of Adolescent Cyberpsychology and Behavior, Central China Normal University, Wuhan, 430079; 
    2. Department of Public Administration, Beijing City University, Beijing, 100094
  • Online:2026-07-26 Published:2026-09-21
  • About author:Meng Sujie, Ph.D candidate, research interests including psychology and behavior of human-AI interaction; Ye Jianmei, Ph.D candidate, research interests including psychology and behavior of human-AI interaction; Gao Shijie, master's student. research interests including psychology and behavior of human-AI interaction; Ma Ye, Ph.D, associate professor, master's supervisor, research interests including social work service management; Wang Weijun (corresponding author), Ph.D, professor, doctoral supervisor, research interests including behavior of human-AI interaction, digital intelligence assessment and services for mental health. Email: wangwj919@163.com.
  • Supported by:
    This is an outcome of the Major Projects "Research on the Reconstruction and Application of Human-Centered AI-Driven Information Service Systems"(22&ZD324) supported by National Social Science Foundation of China.

摘要: 本研究采用系统性综述方法,结合定量数据整合与质性理论重构,对AI服务失败情境中的情感补救研究进行分析,基于“刺激-机体-反应”(S-O-R)整合分析框架,将AI情感补救策略归纳为情感表达类与情感移情类两种类型,从社会认知与社交互动两个维度提炼其心理机制,并从情绪反应、态度评价与行为意向三个层面评估其实施效果,进一步归纳用户特征、情境特征与技术特征等边界条件。研究发现,AI情感补救策略整体上能够缓解用户负面情绪,提升宽恕、满意度与持续使用意愿,但其有效性受到具体对象与应用场景的制约。本研究拓展了AI服务补救研究视角,并为智能服务系统的人性化设计提供了理论依据与实践参考。

关键词: 人工智能, 信息服务, AI服务失败, AI服务补救, 人机交互, 情感计算

Abstract: Using a systematic literature review that combines quantitative evidence synthesis and qualitative theoretical reconstruction, this study reviews emotional recovery in AI service failure contexts. Based on the Stimulus-Organism-Response (S-O-R) framework, AI emotional recovery strategies are classified into emotional expression and empathic response. Their mechanisms, effects, and boundary conditions are examined from the perspectives of social cognition, social interaction, emotional and attitudinal outcomes, behavioral intentions, and user, situational, and technological characteristics. The findings show that these strategies can alleviate negative emotions and enhance forgiveness, satisfaction, and continuance intention, although their effectiveness varies across users and service contexts. This study expands the research perspectives on AI service recovery and offers implications for the human-centered design of intelligent service systems.

Key words: Artificial intelligence, Information service, AI service failure, AI service recovery, Human-AI interaction, Affective computing

中图分类号: