40 citations · 77 across the 5 of their papers we have counts for
5 papers
LLM-generated personalized nudges for improving pro-environmental behavior: Field evidence from resource conservation
Zonghan Li, Yi Liu, Chunyan Wang +3
Encouraging pro-environmental behavior remains a major challenge for sustainable cities. Conventional feedback nudges can show individuals how their current behavior compares with…
Effectiveness of Large Language Models in Simulating Regional Psychological Structures: An Empirical Examination of Personality and Subjective Well-being
Ke Luoma, Li Zengyi, Liao Jiangqun +2
This study examines whether LLMs can simulate culturally grounded psychological patterns based on demographic information. Using DeepSeek, we generated 2943 virtual participants ma…
Potential of large language model-powered nudges for promoting daily water and energy conservation
Zonghan Li, Song Tong, Yi Liu +2
The increasing amount of pressure related to water and energy shortages has increased the urgency of cultivating individual conservation behaviors. While the concept of nudging, i.…
Automating psychological hypothesis generation with AI: when large language models meet causal graph
Song Tong, Kai Mao, Zhen Huang +2
Leveraging the synergy between causal knowledge graphs and a large language model (LLM), our study introduces a groundbreaking approach for computational hypothesis generation in p…
Exploring the Frontiers of LLMs in Psychological Applications: A Comprehensive Review
Luoma Ke, Song Tong, Peng Cheng +1
This paper explores the frontiers of large language models (LLMs) in psychology applications. Psychology has undergone several theoretical changes, and the current use of Artificia…