T. Engbersen

Papers

1

Total Citations

4

H-Index

1

About

T. Engbersen is a pioneering researcher at the intersection of human-robot interaction and sonic design. Their work focuses on how non-verbal auditory feedback from robots shapes human perception, trust, and social acceptance. Engbersen’s most notable contribution is the development of “Music Mode,” a novel system that transforms a robot’s joint movements into real-time musical output, created in collaboration with artists and engineers. Through two carefully designed experiments, Engbersen demonstrated that this musical mapping significantly increases a robot’s perceived likability and intelligence in everyday settings like offices. This work, published in 2024 and already garnering 4 citations, opens new avenues for making robots more socially engaging and less intrusive. By reframing mechanical noise as intentional art, Engbersen challenges traditional notions of robot functionality and paves the way for more harmonious human-robot coexistence. Their research is essential reading for anyone interested in affective computing, robot aesthetics, or the role of sound in technology acceptance.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Music Mode: Transforming Robot Movement into Music Increases Likability and Perceived Intelligence
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago