Papers
6
Total Citations
174
H-Index
5
About
Jan Hintz is a leading researcher in Human-Robot Interaction (HRI), specializing in making industrial robotics intuitive, safe, and accessible through multi-modal communication. Their major contributions center on developing frameworks that allow humans to interact with robots using natural modalities—primarily speech, pointing gestures, and facial recognition—rather than complex programming interfaces. Hintz’s highly cited work, including "Robots and Wizards" (56 citations) and the "Robot System Assistant (RoSA)" (52 citations), pioneered the use of Wizard of Oz prototyping to identify optimal interaction modalities, demonstrating a strong user preference for speech and gesture commands. They further advanced the field by creating the Robo-HUD concept for contactless operation and developing engagement prediction models for multiperson HRI settings. With over 170 total citations across their top papers, Hintz’s research directly addresses the challenge of making collaborative robots truly user-friendly, paving the way for safer and more efficient human-robot teamwork in industrial environments. Their work stands out for its rigorous user-centered design approach and practical focus on real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Robots and Wizards: An Investigation Into Natural Human–Robot Interaction56 citations · 2020
- 2
- 3Multimodal Engagement Prediction in Multiperson Human–Robot Interaction24 citations · 2022
- 4Face Recognition and Tracking Framework for Human–Robot Interaction22 citations · 2022
- 5
- 6