Searched for: author%3A%22van+Zoelen%2C+E.M.%22
(1 - 8 of 8)
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van Zoelen, E.M. (author), van den Bosch, K. (author), Abbink, D. (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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Schoonderwoerd, T.A.J. (author), van Zoelen, E.M. (author), van den Bosch, K. (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...
article 2022
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de Boer, M.H.T. (author), Vethman, S. (author), Bakker, R.M. (author), Adhikari, A. (author), Marcus, M.J.H. (author), de Greeff, J. (author), van der Waa1, J. (author), Schoonderwoerd, T.A.J. (author), Tolios, I. (author), van Zoelen, E.M. (author), Hillerström, F.H.J. (author), Kamphorst, B.J. (author)
conference paper 2022
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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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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
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van Zoelen, E.M. (author), van den Bosch, K. (author), Rauterberg, M. (author), Barakova, E. (author), Neerincx, M. (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. Our...
article 2021
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van Zoelen, E.M. (author), Cremers, A.H.M. (author), Dignum, F.P.M. (author), van Diggelen, J. (author), Peeters, M.M. (author)
Artificially intelligent agents increasingly collaborate with humans in human-agent teams. Timely proactive sharing of relevant information within the team contributes to the overall team performance. This paper presents a machine learning approach to proactive communication in AI-agents using contextual factors. Proactive communication was...
conference paper 2020
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Aarts, T. (author), Gabrielaitis, L.K. (author), de Jong, L.C. (author), Noortman, R. (author), van Zoelen, E.M. (author), Kotea, S. (author), Cazacu, S. (author), Lock, L.L. (author), Markopoulus, P. (author)
Design cards are a popular way for designers to encode and communicate design knowledge. Aiming to inform the designers of such design tools we set out to characterize the design space of design cards in a two-pronged approach involving a) a systematic literature survey on the use of design cards and b) card sorting interviews, which were...
conference paper 2020
Searched for: author%3A%22van+Zoelen%2C+E.M.%22
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