Papers
12
Total Citations
158
H-Index
6
About
Daniel Sonntag is a pioneering researcher at the intersection of artificial intelligence, human-computer interaction, and robotics, whose work has consistently pushed the boundaries of intelligent systems design. His research spans multimodal interfaces, human-robot collaboration, explainable AI, and smart manufacturing, establishing him as a versatile and influential figure in applied AI research. Sonntag's most-cited work, an overview of the CPS for Smart Factories project (41 citations), demonstrates his leadership in integrating deep learning and anomaly detection within industrial environments. His investigations into human gaze and visual attention during human-robot collaboration (39 citations) have meaningfully advanced how robots interpret and respond to human cues in shared workspaces. As a contributor to the authoritative *Handbook of Multimodal-Multisensor Interfaces* (26 citations), he helped shape foundational understanding of next-generation user interfaces combining speech, gesture, and touch. Particularly notable is his compassionate application of technology in healthcare, exploring how humanoid robots and smartpens can support dementia patients' social communication. More recently, his XAINES project addresses the critical challenge of making AI systems interpretable to everyday users. Through extended reality platforms for robotics training and brain-computer interface research, Sonntag continues bridging cutting-edge technology with genuine human needs.
Research Focus
Key Achievements
Top Papers
- 1
- 2Human Gaze and Focus-of-Attention in Dual Reality Human-Robot Collaboration39 citations · 2016
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- 5XAINES: Explaining AI with Narratives10 citations · 2022
- 6The MASTER XR Platform for Robotics Training in Manufacturing7 citations · 2024
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- 9Speech Imagery BCI Training Using Game with a Purpose4 citations · 2024
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