Developing Team Design Patterns for Hybrid Intelligence Systems

Van Zoelen E, Mioch T, Tajaddini M, Fleiner C, Tsaneva S, Camin P, Gouvêa TS, Baraka K, De Boer MHT, Neerincx M (2023)


Publication Type: Book chapter / Article in edited volumes

Publication year: 2023

Journal

Publisher: IOS Press

Edited Volumes: HHAI 2023: Augmenting Human Intellect

Series: Frontiers in Artificial Intelligence and Applications

Book Volume: 368

ISBN: 9781643683942

DOI: 10.3233/FAIA230071

Abstract

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 collaboration for hybrid intelligence (HI) systems and there is a lack of best practices shared across application domains. We address this gap by investigating the generalization of specific design solutions into design patterns that can be shared and applied in different contexts. We present a human-centered bottom-up approach for the specification of design solutions and their abstraction into team design patterns. We apply the proposed approach for 4 concrete HI use cases and show the successful extraction of team design patterns that are generalizable, providing re-usable design components across various domains. This work advances previous research on team design patterns and designing applications of HI systems.

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How to cite

APA:

Van Zoelen, E., Mioch, T., Tajaddini, M., Fleiner, C., Tsaneva, S., Camin, P.,... Neerincx, M. (2023). Developing Team Design Patterns for Hybrid Intelligence Systems. In Paul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi (Eds.), HHAI 2023: Augmenting Human Intellect. IOS Press.

MLA:

Van Zoelen, Emma, et al. "Developing Team Design Patterns for Hybrid Intelligence Systems." HHAI 2023: Augmenting Human Intellect. Ed. Paul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi, IOS Press, 2023.

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