TaeWoo Kim

Papers

Total Citations

336

H-Index

About

TaeWoo Kim is a leading scholar at the intersection of artificial intelligence, consumer behavior, and ethics. His research primarily investigates how nonhuman agents—such as AI and robots—influence human decision-making, persuasion, and moral conduct. In his highly cited 2020 paper, "Artificial Intelligence and Persuasion: A Construal-Level Account" (175 citations), Kim introduced a novel theoretical framework showing that AI-generated messages are processed at higher construal levels than human messages, fundamentally altering how consumers interpret and respond to persuasive appeals. His 2022 work, "AI increases unethical consumer behavior due to reduced anticipatory guilt" (161 citations), reveals a critical ethical dimension: consumers are more likely to engage in dishonest acts when interacting with AI because they experience less anticipatory guilt. This finding has profound implications for the design of AI systems in commerce and beyond. Kim's contributions have shaped contemporary understanding of human-AI interaction, earning him recognition as a thought leader in digital ethics and consumer psychology. His work continues to inform both academic discourse and practical guidelines for responsible AI deployment.