Structured AI Dialogues Can Increase Happiness and Meaning in Life

Millions of people now use AI-powered chatbots to support their mental health, yet little is known about whether such interactions can effectively enhance psychological well-being. We conducted a preregistered experiment on a large, diverse sample (N = 2,922) to test four AI chatbots, each prompted to employ a multi-step strategy drawn from prior psychological research on sources of happiness and meaning in life. Chatbots encouraged participants to either (a) savor positive life experiences, (b) express gratitude toward a friend or family member, (c) reflect on sources of meaning in their life, or, (d) reframe their life story as a “hero’s journey.” All four chatbots led to improvements on a broad range of psychological well-being outcomes – including affective well-being, meaning in life, life satisfaction, anxiety, and depressed mood – relative to a control chatbot condition. These results generalized to key subpopulations, including those with high baseline levels of anxiety or depression. Chatbot interactions increased interest in seeing a human therapist, including among those who were previously unwilling or had never attended therapy. A separate, nationally representative survey (N = 3,056) found that half of U.S. adults expressed interest in using empirically validated AI chatbots for mental health support. These findings demonstrate that AI-driven well-being chatbots grounded in psychological research offer a scalable and effective way to produce short-term increases in several aspects of psychological well-being. Importantly, these results do not generalize to all AI-based emotional support.

Authors

Publication Details

Published
2025-10-02
DOI
https://doi.org/10.31234/osf.io/2bf7t_v1
Citations
2
Primary Topic
Psychology of Moral and Emotional Judgment
Type
article
Field-Weighted Citation Impact
2.86

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article

Structured AI Dialogues Can Increase Happiness and Meaning in Life

Jonas Schöne, Robb Willer, Sonja Lyubomirsky, Aadesh Salecha et al.
2 citations
Psychology of Moral and Emotional Judgment
2.86
article

Structured AI Dialogues Can Increase Happiness and Meaning in Life

Jonas Schöne, Robb Willer, Sonja Lyubomirsky, Aadesh Salecha, Johannes C. Eichstaedt
article en
2 citations

Abstract

Millions of people now use AI-powered chatbots to support their mental health, yet little is known about whether such interactions can effectively enhance psychological well-being. We conducted a preregistered experiment on a large, diverse sample (N = 2,922) to test four AI chatbots, each prompted to employ a multi-step strategy drawn from prior psychological research on sources of happiness and meaning in life. Chatbots encouraged participants to either (a) savor positive life experiences, (b) express gratitude toward a friend or family member, (c) reflect on sources of meaning in their life, or, (d) reframe their life story as a “hero’s journey.” All four chatbots led to improvements on a broad range of psychological well-being outcomes – including affective well-being, meaning in life, life satisfaction, anxiety, and depressed mood – relative to a control chatbot condition. These results generalized to key subpopulations, including those with high baseline levels of anxiety or depression. Chatbot interactions increased interest in seeing a human therapist, including among those who were previously unwilling or had never attended therapy. A separate, nationally representative survey (N = 3,056) found that half of U.S. adults expressed interest in using empirically validated AI chatbots for mental health support. These findings demonstrate that AI-driven well-being chatbots grounded in psychological research offer a scalable and effective way to produce short-term increases in several aspects of psychological well-being. Importantly, these results do not generalize to all AI-based emotional support.

University of Pennsylvania, York University
Openalex Percentile: Top 8%
Psychology of Moral and Emotional Judgment
2.86
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