Searched for: author%3A%22van+Zoelen%2C+E.M.%22
(1 - 6 of 6)
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van Zoelen, E.M. (author), Mioch, T. (author), Tajaddini, M. (author), Fleiner, Christian (author), Tsaneva, Stefani (author), Camin, Pietro (author), GouvĂȘa, Thiago S. (author), Baraka, Kim (author), De Boer, Maaike H.T. (author), Neerincx, M.A. (author)
With artificial intelligence (AI) systems entering our working and leisure environments with increasing adaptation and learning capabilities, new opportunities arise for developing hybrid (human-AI) intelligence (HI) systems, comprising new ways of collaboration. However, there is not yet a structured way of specifying design solutions of...
conference paper 2023
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van Zoelen, E.M. (author), van den Bosch, Karel (author), Abbink, D.A. (author), Neerincx, M.A. (author)
When humans and AI-agents collaborate, they need to continuously learn about each other and the task. We propose a Team Design Pattern that utilizes adaptivity in the behavior of human and agent team partners, causing new Collaboration Patterns to emerge. Human-AI Co-Learning takes place when partners can formalize recognized patterns of...
conference paper 2023
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de Boer, Maaike H.T. (author), Vethman, Steven (author), Bakker, R.M.B. (author), Adhikari, Ajaya (author), Marcus, Michiel (author), de Greeff, Joachim (author), van der Waa, J.S. (author), van Zoelen, E.M. (author), Kamphorst, Bart (author)
The goal of the FATE system is decision support with use of state-of-the-art human-AI co-learning, explainable AI and fair, secure and privacy-preserving usage of data. This AI-based support system is a general system, in which the modules can be tuned to specific use cases. The FATE system is designed to address different user roles, such as...
journal article 2022
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Schoonderwoerd, Tjeerd A.J. (author), van Zoelen, E.M. (author), Bosch, Karel van den (author), Neerincx, M.A. (author)
The rapid advancement of technology empowered by artificial intelligence is believed to intensify the collaboration between humans and AI as team partners. Successful collaboration requires partners to learn about each other and about the task. This human-AI co-learning can be achieved by presenting situations that enable partners to share...
journal article 2022
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van Zoelen, E.M. (author), Van Den Bosch, Karel (author), Neerincx, M.A. (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...
journal article 2021
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van Zoelen, E.M. (author), van den Bosch, Karel (author), Rauterberg, Matthias (author), Barakova, Emilia (author), Neerincx, M.A. (author)
As robots become more ubiquitous, they will increasingly need to behave as our team partners and smoothly adapt to the (adaptive) human team behaviors to establish successful patterns of collaboration over time. A substantial amount of adaptations present themselves through subtle and unconscious interactions, which are difficult to observe....
journal article 2021
Searched for: author%3A%22van+Zoelen%2C+E.M.%22
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