Lisa Kleinjohann
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
Top Papers
- 1Fuzzy emotion recognition in natural speech dialogue30 citations · 2006
- 2Prosody based emotion recognition for MEXI22 citations · 2005
- 3MEXI: machine with emotionally eXtended intelligence14 citations · 2003
- 4
- 5Emotional Communication with the Robot Head MEXI7 citations · 2006
- 6Emotional Robot Competence and Its Use in Robot Behavior Control5 citations · 2010
- 7Real-Time Camera Tracking for Mobile Devices: The VisiTrack System3 citations · 2006
- 8VisiTrack - video based incremental tracking in real time3 citations · 2004
- 9Integrating Emotional Competence into Man-Machine Collaboration2 citations · 2008
- 10