Chien‐Hsiung Chen

National Taiwan University of Science and Technology

Papers

4

Total Citations

36

H-Index

3

About

Chien-Hsiung Chen investigates the intersection of human-robot interaction, design psychology, and social robotics, focusing on how subtle visual features shape people’s perceptions of robots. His major contributions center on the “baby schema effect”—demonstrating that infant-like facial characteristics in social robots significantly enhance perceived cuteness and trustworthiness, a finding with 23 citations in his 2023 study. He has systematically examined how head shape, facial features, camera angle, and gender influence trustworthiness and operational efficiency, using low-cost rendered faces to isolate design variables. His work validates that minimal social cues and body proportions critically affect user attitudes, offering practical guidelines for robot developers. With over 35 cumulative citations, Chen’s research provides a foundational framework for designing more appealing and trustworthy social robots, directly improving human-robot interaction experiences. His studies are notable for their methodological rigor in controlling aesthetic factors, making them essential reading for students and researchers in human-robot interaction, design engineering, and social psychology.

Research Focus

Key Achievements

3
H-Index
4
Papers
36
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Research on the influence of the baby schema effect on the cuteness and trustworthiness of social robot faces
23 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: National Taiwan University of Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago