Mark Neerincx

POSITION: PROFESSOR | HUMAN-CENTERED COMPUTING
TNO UNIT: DEFENCE, SAFETY AND SECURITY (PERCEPTUAL AND COGNITIVE SYSTEMS)
UNIVERSITY: DELFT UNIVERSITY OF TECHNOLOGY (DEPARTMENT OF “INTELLIGENT SYSTEMS”, SECTION “INTERACTIVE INTELLIGENCE”)
 
TNO LOCATION: SOESTERBERG
EMAIL: MARK.NEERINCX@TNO.NL
TEL: +31888665875

RESEARCH AREA

In my research I focus on human-centered computing. 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. 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.  Social sciences (e.g., Psychology) and AI have to join and study 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.

RECENT RESULTS

A socio-cognitive engineering methodology has been developed and applied for the design of artificial, virtual or physical, agents (ePartners) that show social, cognitive and affective behaviors to enhance performance, resilience, health and/or wellbeing. In the safety and security domain, the ePartners entail methods and prototypes for sharing situation awareness, harmonizing workload distributions, and supporting stress-coping to enhance performance and resilience (e.g. in robot-assisted disaster response teams). In the health domain, examples are robotic and virtual assistants that help patients to cope with their chronic disease (e.g., diabetics) in different self-managements activities, and robots that help older adults with dementia and care givers to establish positive experiences of life in the care centers. Important buildings blocks of the hybrid intelligence are (1) the (computational) cognition and emotion models for performance and health support, (2) the human-robot partnership functions for attuning assistance to the individual user and momentary usage context, and (3) the design patterns for effective and efficient collaborative behavior.

PHD SUPERVISION

  • Nanja Smets (FP7 NIFTi/TRADR projects, MECA project for ESA)
  • Frank Kaptein, (Horizon2020 project PAL robot, ERP Hybrid AI)
  • Rifca Peters (Horizon2020 project PAL robot, ERP Hyrbrid AI)
  • Mike Ligthart (NWO-TTW/KWF, HERO robot project)
  • Roel Boumans (NWO-TTW, Interview Robot project)
  • Bernd Dudzik (4TU-Human&Technology)
  • Franziska Burger (4TU-Human&Technology)
  • Jasper van der Waa (RVO Human-AI Teaming, ERP Hybrid AI, Explainable AI project)
  • Tjeerd Schoonderwoerd (ERP Hybrid AI, “Artificial Intelligence for Military Simulations” [AIMS] programme, Explainable AI project)
  • Emma van Zoelen (DO AIO, “Artificial Intelligence for Military Simulations” [AIMS] and “Opleiding & Individuele Training”[OIT] programmes, Learner Modelling project)

TOP PUBLICATIONS

  • Neerincx MA, 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.
  • de Visser, E.J., Peeters, M.M.M., Jung, M.F., Kohn, S., Shaw, T.H., Pak, R., and Neerincx, M.A. (2019). Towards a Theory of Longitudinal Trust Calibration in Human–Robot Teams. International Journal of Social Robotics. https://doi.org/10.1007/s12369-019-00596-x
  • Tielman, M.L., Neerincx, M.A. and Brinkman, W.P. (2019). Design and evaluation of personalized motivational messages by a virtual agent that assists in post-traumatic stress disorder therapy. Journal of Medical Internet Research, 21(3), e9240.

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