Developing Team Design Patterns for Hybrid Intelligence Systems

Emma Van Zoelen; Tina Mioch; Mani Tajaddini; Christian Fleiner; Stefani Tsaneva; Pietro Camin; Thiago S. Gouvêa; Kim Baraka; Maaike H.T. De Boer; Mark A. Neerincx

doi:10.3233/FAIA230071

Developing Team Design Patterns for Hybrid Intelligence Systems

Emma Van Zoelen, Tina Mioch^*, Mani Tajaddini, Christian Fleiner, Stefani Tsaneva, Pietro Camin, Thiago S. Gouvêa, Kim Baraka, Maaike H.T. De Boer, Mark A. Neerincx

^*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

3 Citations (Scopus)

124 Downloads (Pure)

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.

Original language	English
Title of host publication	HHAI 2023
Subtitle of host publication	Augmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence
Editors	Paul Lukowicz, Sven Mayer, Janin Koch, John Shawe-Taylor, Ilaria Tiddi
Publisher	IOS Press
Pages	3-16
Number of pages	14
ISBN (Electronic)	9781643683942
DOIs	https://doi.org/10.3233/FAIA230071
Publication status	Published - 2023
Event	2nd International Conference on Hybrid Human Artificial Intelligence - Munich, Germany Duration: 26 Jun 2023 → 30 Jun 2023 Conference number: 2 https://hhai-conference.org/2023/

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Volume	368
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

Conference

Conference	2nd International Conference on Hybrid Human Artificial Intelligence
Abbreviated title	HHAI 2023
Country/Territory	Germany
City	Munich
Period	26/06/23 → 30/06/23
Internet address	https://hhai-conference.org/2023/

Keywords

Co-evolution
Human-centered AI
Hybrid Intelligence
Interdependence
Team Design Patterns
Use-case based research

Access to Document

10.3233/FAIA230071

FAIA-368-FAIA230071Final published version, 1 MBLicence: CC BY-NC

Cite this

Van Zoelen, E., Mioch, T., Tajaddini, M., Fleiner, C., Tsaneva, S., Camin, P., Gouvêa, T. S., Baraka, K., De Boer, M. H. T., & Neerincx, M. A. (2023). Developing Team Design Patterns for Hybrid Intelligence Systems. In P. Lukowicz, S. Mayer, J. Koch, J. Shawe-Taylor, & I. Tiddi (Eds.), HHAI 2023: Augmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence (pp. 3-16). (Frontiers in Artificial Intelligence and Applications; Vol. 368). IOS Press. https://doi.org/10.3233/FAIA230071

Van Zoelen, Emma ; Mioch, Tina ; Tajaddini, Mani et al. / Developing Team Design Patterns for Hybrid Intelligence Systems. HHAI 2023: Augmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence. editor / Paul Lukowicz ; Sven Mayer ; Janin Koch ; John Shawe-Taylor ; Ilaria Tiddi. IOS Press, 2023. pp. 3-16 (Frontiers in Artificial Intelligence and Applications).

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title = "Developing Team Design Patterns for Hybrid Intelligence Systems",

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.",

keywords = "Co-evolution, Human-centered AI, Hybrid Intelligence, Interdependence, Team Design Patterns, Use-case based research",

author = "{Van Zoelen}, Emma and Tina Mioch and Mani Tajaddini and Christian Fleiner and Stefani Tsaneva and Pietro Camin and Gouv{\^e}a, {Thiago S.} and Kim Baraka and {De Boer}, {Maaike H.T.} and Neerincx, {Mark A.}",

year = "2023",

doi = "10.3233/FAIA230071",

language = "English",

series = "Frontiers in Artificial Intelligence and Applications",

publisher = "IOS Press",

pages = "3--16",

editor = "Paul Lukowicz and Sven Mayer and Janin Koch and John Shawe-Taylor and Ilaria Tiddi",

booktitle = "HHAI 2023",

address = "Netherlands",

note = "2nd International Conference on Hybrid Human Artificial Intelligence, HHAI 2023 ; Conference date: 26-06-2023 Through 30-06-2023",

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Van Zoelen, E , Mioch, T , Tajaddini, M, Fleiner, C, Tsaneva, S, Camin, P, Gouvêa, TS, Baraka, K, De Boer, MHT & Neerincx, MA 2023, Developing Team Design Patterns for Hybrid Intelligence Systems. in P Lukowicz, S Mayer, J Koch, J Shawe-Taylor & I Tiddi (eds), HHAI 2023: Augmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence. Frontiers in Artificial Intelligence and Applications, vol. 368, IOS Press, pp. 3-16, 2nd International Conference on Hybrid Human Artificial Intelligence, Munich, Bavaria, Germany, 26/06/23. https://doi.org/10.3233/FAIA230071

Developing Team Design Patterns for Hybrid Intelligence Systems. / Van Zoelen, Emma ; Mioch, Tina ; Tajaddini, Mani et al.
HHAI 2023: Augmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence. ed. / Paul Lukowicz; Sven Mayer; Janin Koch; John Shawe-Taylor; Ilaria Tiddi. IOS Press, 2023. p. 3-16 (Frontiers in Artificial Intelligence and Applications; Vol. 368).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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T1 - Developing Team Design Patterns for Hybrid Intelligence Systems

AU - Van Zoelen, Emma

AU - Mioch, Tina

AU - Tajaddini, Mani

AU - Fleiner, Christian

AU - Tsaneva, Stefani

AU - Camin, Pietro

AU - Gouvêa, Thiago S.

AU - Baraka, Kim

AU - De Boer, Maaike H.T.

AU - Neerincx, Mark A.

N1 - Conference code: 2

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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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KW - Human-centered AI

KW - Hybrid Intelligence

KW - Interdependence

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M3 - Conference contribution

AN - SCOPUS:85170360346

T3 - Frontiers in Artificial Intelligence and Applications

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EP - 16

BT - HHAI 2023

A2 - Lukowicz, Paul

A2 - Mayer, Sven

A2 - Koch, Janin

A2 - Shawe-Taylor, John

A2 - Tiddi, Ilaria

PB - IOS Press

T2 - 2nd International Conference on Hybrid Human Artificial Intelligence

Y2 - 26 June 2023 through 30 June 2023

ER -

Van Zoelen E , Mioch T , Tajaddini M, Fleiner C, Tsaneva S, Camin P et al. Developing Team Design Patterns for Hybrid Intelligence Systems. In Lukowicz P, Mayer S, Koch J, Shawe-Taylor J, Tiddi I, editors, HHAI 2023: Augmenting Human Intellect - Proceedings of the 2nd International Conference on Hybrid Human-Artificial Intelligence. IOS Press. 2023. p. 3-16. (Frontiers in Artificial Intelligence and Applications). doi: 10.3233/FAIA230071

Developing Team Design Patterns for Hybrid Intelligence Systems

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