Developing Team Design Patterns for Hybrid Intelligence Systems
Emma Van Zoelen (TU Delft - BUS/TNO STAFF, TU Delft - Interactive Intelligence)
Tina Mioch (Hogeschool Utrecht (HU), TU Delft - Interactive Intelligence)
Mani Tajaddini (TU Delft - Interactive Intelligence)
Christian Fleiner (Friedrich-Alexander-Universität Erlangen-Nürnberg)
Stefani Tsaneva (WU Wien, Technische Universität Wien)
Pietro Camin (University of Twente)
Thiago S. Gouvêa (DFKI GmbH)
Kim Baraka (Vrije Universiteit Amsterdam)
Maaike H.T. De Boer (DIANA FEA )
Mark A. Neerincx (TU Delft - Interactive Intelligence, TU Delft - BUS/TNO STAFF)
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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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