Engineering Hybrid Intelligence Systems: Synthesising a Decade of Research
====== This is a paper currently under review. ====== Hybrid Intelligence (HI) is a rapidly growing discipline that envisions the creation of scenarios where humans and agents operate in mixed teams collaboratively, synergistically, and proactively to achieve a given goal. This ambition was formulated in 2019 and followed up by a comprehensive research agenda. A decade after the appearance of the first research outputs, this paper a comprehensive overview of how the HI discipline has evolved. We provide a reflection and overview of the HI field by analysing approximately 350 papers published by the Hybrid Intelligence Consortium in which the seminal HI research agenda originated.
Authors
- Roxana Rădulescu (ORCID: https://orcid.org/0000-0003-1446-5514)
- Frans Adriaan Oliehoek (ORCID: https://orcid.org/0000-0003-4372-5055)
- Pradeep Kumar Murukannaiah (ORCID: https://orcid.org/0000-0002-1261-6908)
- Michiel van der Meer (ORCID: https://orcid.org/0000-0003-1877-6002)
- Herke van Hoof (ORCID: https://orcid.org/0000-0002-1583-3692)
- Cor Steging (ORCID: https://orcid.org/0000-0001-6887-1687)
- Shenghui Wang (ORCID: https://orcid.org/0000-0003-0583-6969)
- Catholijn M. Jonker (ORCID: https://orcid.org/0000-0003-4780-7461)
- Antske S. Fokkens (ORCID: https://orcid.org/0000-0002-6628-6916)
- Ilaria Tiddi (ORCID: https://orcid.org/0000-0001-7116-9338)
- Nanne van Noord (ORCID: https://orcid.org/0000-0002-5145-3603)
- Victor de Boer (ORCID: https://orcid.org/0000-0001-9079-039X)
- Maaike de Boer (ORCID: https://orcid.org/0000-0002-2775-8351)
- Chiara Natali (ORCID: https://orcid.org/0000-0002-5171-5239)
- Merle M. Reimann (ORCID: https://orcid.org/0000-0003-3076-5402)
- Shihan Wang
Institutions
- Leiden University (NL)
- Netherlands Organisation for Applied Scientific Research (NL)
- Utrecht University (NL)
- Vrije Universiteit Amsterdam (NL)
- University of Amsterdam (NL)
- University of Twente (NL)
- Delft University of Technology (NL)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-11-11
- DOI
- https://doi.org/10.5281/zenodo.24137575
- Primary Topic
- Human-Automation Interaction and Safety
- Type
- preprint