Complex Problem Solving through Human-AI Collaboration: Literature Review on Research Contexts Memmert, Lucas Bittner, Eva 2021-12-24T17:19:09Z 2021-12-24T17:19:09Z 2022-01-04
dc.description.abstract Solving complex problems has been proclaimed as one major challenge for hybrid teams of humans and artificial intelligence (AI) systems. Human-AI collaboration brings immense opportunities in these complex tasks, in which humans struggle, but full automation is also impossible. Understanding and designing human-AI collaboration for complex problem solving is a wicked and multifaceted research problem itself. We contribute to this emergent field by reviewing to what extent existing research on instantiated human-AI collaboration already addresses this challenge. After clarifying the two key concepts (complex problem solving and human-AI collaboration), we perform a systematic literature review. We extract research contexts and assess them considering different complexity features. We thereby provide an overview of existing and guidance for designing new, suitable research contexts for studying complex problem solving through human-AI collaboration and present an outlook for further work on this research challenge.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2022.046
dc.identifier.isbn 978-0-9981331-5-7
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Collaboration with Intelligent Systems: Machines as Teammates
dc.subject complex problem solving
dc.subject human ai collaboration
dc.subject human ai teaming
dc.subject hybrid intelligence
dc.subject literature review
dc.title Complex Problem Solving through Human-AI Collaboration: Literature Review on Research Contexts
dc.type.dcmi text
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