cs.AI updates on arXiv.org 13小时前
Large Language Models Enable Personalized Nudges to Promote Carbon Offsetting Among Air Travellers
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本文利用大型语言模型设计个性化航空碳减排策略,通过问卷调查验证其有效性,结果显示LLM个性化策略可提升减排效果,有助于加速航空业低碳转型。

arXiv:2508.12045v1 Announce Type: cross Abstract: Nudge strategies are effective tools for promoting sustainable behaviour, but their impact depends on individual preferences. By emulating human decision-making, large language models (LLMs) offer a cost-effective route for tailoring nudges without extensive behavioural datasets, yet this potential remains unexplored. Focusing on aviation, we use LLMs to design personalized decoy-based nudge strategies that encourage air travellers to voluntarily offset CO$_2$ emissions from flights, and validate their efficacy through 3495 surveys from China, Germany, India, Singapore, and the United States. Results show that LLM-informed personalized nudges are more effective than uniform settings, raising offsetting rates by 3-7$\%$ and yielding an additional 2.3 million tonnes of CO$_2$ mitigated annually in aviation. This improvement is driven primarily by increased participation among sceptical travellers with low trust in offset programmes. Our study highlights the potential of LLM-driven personalized nudging strategies for boosting offsetting behaviours to accelerate aviation decarbonization.

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大型语言模型 航空碳减排 个性化策略 问卷调查 低碳转型
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