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<p>Character strengths represent personal resources theorized to enhance well-being and work engagement, yet scalable intervention formats remain limited. This randomized controlled trial examined whether AI-supported reflection on character strengths increases strengths use and adaptive functioning at work relative to self-reflection without AI support and a waitlist control. Working adults (<i>N</i> = 111) completed three weekly assessments (T0–T2) and were randomly assigned to: (1) self-reflection with AI-generated feedback, (2) self-reflection without AI support, or (3) waitlist control. Primary outcomes comprised strengths use, basic psychological need satisfaction, psychological well-being, and work engagement. Overall, the findings did not indicate clear intervention effects on the primary outcomes, nor support for indirect effects. However, consistent with theoretical assumptions, greater use of strengths was associated with higher satisfaction of competence and relatedness needs, and perceived autonomy emerged as a predictor of work engagement. Exploratory linguistic analyses demonstrated that, within the AI-supported condition, the lexical density of strengths-related vocabulary during reflection was associated with subsequent increases in strengths use, a pattern absent in the non-AI condition. Although neither intervention produced measurable improvements in primary outcomes, the findings highlight boundary conditions for brief strengths-based interventions and emphasize the potential utility of language-based indicators for capturing micro-processes. Future research should investigate higher-intensity AI-supported reflection interventions and incorporate workplace resources to facilitate strengths enactment.</p>

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AI-Based Reflection on Character Strengths at Work: Testing a Digital Strengths Intervention in a Randomized Controlled Study

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年7月29日

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  • Lara Watermann,
  • Ricarda Kochems,
  • Eva Lermer,
  • Simone Kubowitsch

摘要

Character strengths represent personal resources theorized to enhance well-being and work engagement, yet scalable intervention formats remain limited. This randomized controlled trial examined whether AI-supported reflection on character strengths increases strengths use and adaptive functioning at work relative to self-reflection without AI support and a waitlist control. Working adults (N = 111) completed three weekly assessments (T0–T2) and were randomly assigned to: (1) self-reflection with AI-generated feedback, (2) self-reflection without AI support, or (3) waitlist control. Primary outcomes comprised strengths use, basic psychological need satisfaction, psychological well-being, and work engagement. Overall, the findings did not indicate clear intervention effects on the primary outcomes, nor support for indirect effects. However, consistent with theoretical assumptions, greater use of strengths was associated with higher satisfaction of competence and relatedness needs, and perceived autonomy emerged as a predictor of work engagement. Exploratory linguistic analyses demonstrated that, within the AI-supported condition, the lexical density of strengths-related vocabulary during reflection was associated with subsequent increases in strengths use, a pattern absent in the non-AI condition. Although neither intervention produced measurable improvements in primary outcomes, the findings highlight boundary conditions for brief strengths-based interventions and emphasize the potential utility of language-based indicators for capturing micro-processes. Future research should investigate higher-intensity AI-supported reflection interventions and incorporate workplace resources to facilitate strengths enactment.