Papers

3

Total Citations

190

H-Index

3

About

Hyejin Lee is a pioneering researcher at the intersection of artificial intelligence, consumer behavior, and bio-inspired sensory electronics. Her work spans two distinct but impactful domains: the ethical implications of AI and the development of next-generation flexible sensors. Lee’s most cited paper, “AI increases unethical consumer behavior due to reduced anticipatory guilt” (2022, 161 citations), reveals a critical psychological mechanism—how AI interaction diminishes moral emotions, leading to increased dishonesty. This contribution has reshaped understanding of human-AI dynamics in marketing and ethics. Simultaneously, Lee has made notable advances in engineering, including a self-powered, highly sensitive triboelectric acoustic sensor inspired by the human cochlea (2024, 18 citations), which overcomes traditional sensor limitations in power and frequency tunability. She also contributed to artificial flexible sensory electronics mimicking the human somatosensory system (2024, 11 citations), pushing boundaries in wearable technology. By bridging behavioral science and materials engineering, Lee demonstrates rare interdisciplinary depth, offering insights that inform both ethical AI design and the future of human-machine interfaces. Her work continues to inspire researchers exploring the societal and technological frontiers of intelligent systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
190
Total Citations
63
Avg Citations/Paper
🏆 Most Cited Paper
AI increases unethical consumer behavior due to reduced anticipatory guilt
161 citations · 2022
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Sungkyunkwan University, Ulsan National Institute of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago