LLM-based iterative personalization boosted electricity conservation by 0.56 kWh per room-day (18.3 percentage-point higher adjusted saving rate) versus text nudges in a three-arm field trial.
Keyword- assisted topic models.American Journal of Political Science, 68(2):730–750
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
method 1
citation-polarity summary
fields
cs.CY 1years
2026 1verdicts
ACCEPT 1roles
method 1polarities
use method 1representative citing papers
citing papers explorer
-
Enhancing behavioral nudges with large language model-based iterative personalization: A field experiment on electricity and hot-water conservation
LLM-based iterative personalization boosted electricity conservation by 0.56 kWh per room-day (18.3 percentage-point higher adjusted saving rate) versus text nudges in a three-arm field trial.