Countering citizen eco-fatigue: the contribution of algorithms and conversational nudges

Contrer l'écofatigue citoyenne: l'apport des algorithmes et nudges conversationnels

Stephane Magne () and Stéphanie Leprieur
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Stephane Magne: PRISM Sorbonne - Pôle de recherche interdisciplinaire en sciences du management - UP1 - Université Paris 1 Panthéon-Sorbonne, LAREQUOI - Laboratoire de recherche en Management - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines
Stéphanie Leprieur: VALLOREM - Val de Loire Recherche en Management - UO - Université d'Orléans - UT - Université de Tours

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Abstract: With the multiplication of eco-citizen messages (waste sorting, soft mobility, energy conservation, food waste reduction, etc.), some individuals may experience excessive pressure, while others develop a form of eco-anxiety. This overload of information and normative injunctions can lead to "citizen eco-fatigue," characterized by feelings of guilt or over-responsibilization. The chapter questions whether public communication strategies should evolve and examines the potential contribution of artificial intelligence. Conversational tools based on nudging mechanisms can encourage eco-responsible behaviors through personalized prompts and, in some cases, reward systems. The challenge is to foster engagement without resorting to counterproductive punitive ecology or drifting toward intrusive digital surveillance.

Date: 2025
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Published in CNRS éditions. Intelligence Artificielle : enjeux et responsabilités, Hermès, 2025

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-05522351

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