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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2026
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| Accès en ligne: | https://arxiv.org/abs/2603.00050 |
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| _version_ | 1866911474389090304 |
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| author | Powdthavee, Nattavudh Pataranutaporn, Pat Geiger, Sandra J. Richter, Louisa White, Mathew P. |
| author_facet | Powdthavee, Nattavudh Pataranutaporn, Pat Geiger, Sandra J. Richter, Louisa White, Mathew P. |
| contents | We examined whether personalized, AI-generated letters from the future can increase public engagement with climate action. In a preregistered online experiment with 1,654 U.S. parents, participants were randomly assigned to receive either a fact-based climate report, an AI-generated letter from a generic future person, or an AI-generated letter framed as written by their future child. Although both narrative conditions increased empathic concern for future generations, neither had a detectable effect on stated climate policy support or donations to an environmental charity. Personalizing the message as coming from one's future child did not enhance its impact. Exploratory analyses suggest that both narratives led to more emotionally differentiated appraisals of future scenarios, yet also made desirable climate outcomes seem less likely. These findings highlight key constraints on the effectiveness of AI-generated narrative interventions and underscore the importance of balancing emotional resonance with perceived credibility in climate communication. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_00050 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | AI-Generated Letters from the Future: A Randomized Test of Personalized Climate Communication Powdthavee, Nattavudh Pataranutaporn, Pat Geiger, Sandra J. Richter, Louisa White, Mathew P. Computers and Society Artificial Intelligence We examined whether personalized, AI-generated letters from the future can increase public engagement with climate action. In a preregistered online experiment with 1,654 U.S. parents, participants were randomly assigned to receive either a fact-based climate report, an AI-generated letter from a generic future person, or an AI-generated letter framed as written by their future child. Although both narrative conditions increased empathic concern for future generations, neither had a detectable effect on stated climate policy support or donations to an environmental charity. Personalizing the message as coming from one's future child did not enhance its impact. Exploratory analyses suggest that both narratives led to more emotionally differentiated appraisals of future scenarios, yet also made desirable climate outcomes seem less likely. These findings highlight key constraints on the effectiveness of AI-generated narrative interventions and underscore the importance of balancing emotional resonance with perceived credibility in climate communication. |
| title | AI-Generated Letters from the Future: A Randomized Test of Personalized Climate Communication |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2603.00050 |