Johannes Kuhn

Papers

1

Total Citations

11

H-Index

1

About

Johannes Kuhn is a researcher at the intersection of human-robot interaction and affective computing, with a focus on designing emotionally expressive technologies that foster user acceptance. His most-cited work, "Evaluation of a RGB-LED-based Emotion Display for Affective Agents" (2016, 11 citations), introduces a novel approach to non-verbal communication by using color-changing LEDs on robots to convey emotions. This contribution addresses a critical challenge in robotics: making machines more relatable and trustworthy to the general public. By demonstrating that simple, low-cost visual cues can effectively signal affective states, Kuhn’s research offers a practical pathway for enhancing human-robot collaboration in everyday settings. His work underscores the importance of emotional transparency in technology design, bridging the gap between technical functionality and social acceptance. As the field moves toward more intuitive and empathetic agents, Kuhn’s insights into multimodal emotion display remain a foundational reference for researchers exploring how subtle design choices can shape user perceptions and trust.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Evaluation of a RGB-LED-based Emotion Display for Affective Agents
11 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago