Lisa Kleinjohann

Paderborn University

Papers

10

Total Citations

96

H-Index

5

About

Lisa Kleinjohann is a pioneering researcher in affective robotics and human-robot interaction, best known for her foundational work on the robot head MEXI (Machine with Emotionally eXtended Intelligence). Her research centers on enabling robots to recognize, express, and respond to human emotions through natural speech and facial expressions, bridging the gap between technical artificial intelligence and emotional communication. Kleinjohann’s major contributions include developing a fuzzy logic-based system for emotion recognition from prosody in natural speech, allowing MEXI to detect emotional states in real-time and respond with appropriate facial expressions and emotionally-inflected speech output. Her most cited work, "Fuzzy emotion recognition in natural speech dialogue" (2006, 30 citations), details this innovative approach, while "Prosody based emotion recognition for MEXI" (2005, 22 citations) further refines the methodology. Her 2003 paper introducing MEXI (14 citations) outlines the robot’s unique software architecture, which avoids traditional world models in favor of emotion-driven behavior control. Kleinjohann’s work has been showcased at exhibitions, demonstrating robots that can interact naturally with both familiar and unfamiliar humans. Her research remains influential in the fields of social robotics and emotionally intelligent systems.

Research Focus

Key Achievements

5
H-Index
10
Papers
96
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy emotion recognition in natural speech dialogue
30 citations · 2006
📈 Most Prolific Year: 2006 (4 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Paderborn University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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