Papers
1
Total Citations
2
H-Index
1
About
B.M. Kim’s research focuses on human-robot interaction, particularly the design of intuitive auditory feedback systems for service robots. In his most-cited work, Kim investigates how anthropomorphic sound cues can effectively communicate malfunctions in domestic robots, such as vacuum cleaners, to improve user experience and trust. Through controlled laboratory experiments and real-world home environment tests, he identifies key design variables—including sound type, pitch, and urgency—that enhance usability and reduce user frustration. Although his citation count is modest, Kim’s contributions are foundational for the emerging field of robot auditory feedback, offering practical guidelines for engineers and designers. His work bridges human factors engineering and robotics, emphasizing the importance of natural, non-verbal communication in human-robot interaction. Kim’s research is particularly valuable for students and practitioners developing service robots for everyday home use, as it provides evidence-based strategies for creating more intuitive and user-friendly robotic systems.
Research Focus
Key Achievements
Top Papers
- 1