Searched for: subject:"Co%5C-learning"
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van Zoelen, E.M. (author), van den Bosch, K. (author), Neerincx, M.A. (author)
A team develops competency by progressive mutual adaptation and learning, a process we call co-learning. In human teams, partners naturally adapt to each other and learn while collaborating. This is not self-evident in human-robot teams. There is a need for methods and models for describing and enabling co-learning in human-robot partnerships....
conference paper 2021
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de Greeff, J. (author), de Boer, M.H.T. (author), Hillerström, F.H.J. (author), Bomhoff, F.W. (author), Jorritsma, W. (author), Neerinx, M. (author)
AI tools are becoming more commonly used in a variety of application domains. In this paper, we describe a system named FATE that combines state of the art AI tools. The goal of the FATE system is decision support with use of ongoing human-AI co-learning, explainable AI and fair, bias-free and secure usage of data. These topics are societally...
conference paper 2021
document
van Zoelen, E.M. (author), van den Bosch, K. (author), Neerincx, M. (author)
Becoming a well-functioning team requires continuous collaborative learning by all team members. This is called co-learning, conceptualized in this paper as comprising two alternating iterative stages: partners adapting their behavior to the task and to each other (co-adaptation), and partners sustaining successful behavior through communication...
article 2021