Mark Neerincx
Progress in artificial intelligence (AI), robotics, conversational agents, connectivity and sensing technology increases the capabilities of physical and virtual agents to operate more and more autonomously, possibly as team members, companions or partners of humans. However, the information and decision-making processes of these agents differ from human’s processes fundamentally, providing new opportunities and risks for advancing the joint human-AI performance and human well-being.
Professorship chair
Human-centered computing (Delft University of Technology).
Research area
Fruitful human-agent collaboration requires the AI to develop meta-reasoning and meta-learning capabilities, which match the individual human and group needs, and which support the lifelong human-agent co-learning.
Harmonizing the joint and interdependent social, cognitive and affective processes in the co-active learning process, is a major challenge for the research & development community, asking for a rigorous interdisciplinary approach. Natural, social and applied sciences have to join and study AI-agents and humans as part of an evolving mutually adaptive human-agent collective with hybrid intelligence.
This way, AI-included technologies can augment team’s capabilities progressively, e.g. to integrate robotic partners into the healthcare teams, safety and security teams, and defense teams for improved performance and resilience.
Top publications
- Neerincx M.A., van Vught W, Blanson Henkemans O, Oleari E, Broekens J, Peters R, Kaptein F, Demiris Y, Kiefer B, Fumagalli D and Bierman B (2019). Socio-Cognitive Engineering of a Robotic Partner for Child’s Diabetes Self-Management. Frontiers in Robotics and AI, 6:118. https://doi.org/10.3389/frobt.2019.00118.
- Peeters, M.M., van Diggelen, J., Van Den Bosch, K., Bronkhorst, A., Neerincx, M.A., Schraagen, J.M., & Raaijmakers, S. (2021). Hybrid collective intelligence in a human–AI society. AI & society, 36, 217-238.
- van der Waa, J., Nieuwburg, E., Cremers, A., & Neerincx, M. (2021). Evaluating XAI: A comparison of rule-based and example-based explanations. Artificial Intelligence, 291, 103404.
- Schoonderwoerd, T. A., Jorritsma, W., Neerincx, M. A., & Van Den Bosch, K. (2021). Human-centered XAI: Developing design patterns for explanations of clinical decision support systems. International Journal of Human-Computer Studies, 154, 102684.
Soesterberg
Kampweg 55
3769 DE Soesterberg
The Netherlands
Postal address
P.O. Box 23
3769 ZG Soesterberg
The Netherlands