Tjeerd Schoonderwoerd
Papers
1
Total Citations
49
H-Index
1
About
Tjeerd Schoonderwoerd is a leading researcher in human-AI collaboration, with a focus on designing systems where humans and artificial intelligence learn from each other as true team partners. His key research areas include human-AI co-learning, interactive AI design patterns, and human-robot teaming in complex, high-stakes environments. Schoonderwoerd’s most notable contribution is his pioneering work on design patterns for human-AI co-learning, demonstrated through a Wizard-of-Oz evaluation in an urban-search-and-rescue task. This study, which has garnered 49 citations, provides a foundational framework for enabling mutual adaptation between human teammates and AI systems—a critical step toward effective collaboration in dynamic, real-world scenarios. His research addresses the fundamental challenge of how partners can learn about each other and the task simultaneously, offering practical design solutions that have influenced subsequent work in human-robot interaction and adaptive AI. Schoonderwoerd’s contributions are particularly impactful for researchers and practitioners developing AI systems that must operate alongside humans in unpredictable environments, such as emergency response and disaster management. His work stands out for its rigorous empirical methodology and its direct applicability to building more intuitive, responsive human-AI teams.
Research Focus
Key Achievements
Top Papers
- 1