Enhancing behavioral nudges with large language model-based iterative personalization: A field experiment on electricity and hot-water conservation

ArXi:2604.03881v1 Announce Type: cross Nudging is widely used to promote behavioral change, but its effectiveness is often limited when recipients must repeatedly translate feedback into workable next steps under changing circumstances. Large language models (LLMs) may help reduce part of this cognitive work by generating personalized guidance and updating it iteratively across intervention rounds.