Abstract
A current trend which is already prevalent in highly structured (e.g. industrial) working environments is the cooperation of people, intelligent physical agents (robots) and, in parts, intelligent information agents (AIs, chatbots) in hybrid teams, mostly in paired settings. This position article discusses a major generalization and extension of this concept: (a) the goals, strategies, and actions are not fully prespecified, but develop in the course of a dialogic process; (b) the agents are not merely tools or assistants, but proactively intervene as peers; (c) the hybrid teams are multiparties with several humans and (situated or remote) intelligent agents, exhibiting and modelling pronounced group behavior. Cognitive, dialogic systems are the technical backbone of such team settings, bringing together techniques of multimodal processing, information retrieval, situated action planning and autonomous action generation, recognizing and anticipating task-related states of the actors.
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The author A. Wendemuth would like to thank the Center for Behavioral Brain Sciences, Magdeburg, and the German Federal State of Sachsen Anhalt, for continued support.
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Wendemuth, A., Kopp, S. (2023). Multiparty Dialogic Processes of Goal and Strategy Formation in Hybrid Teams. In: da Silva, H.P., Cipresso, P. (eds) Computer-Human Interaction Research and Applications. CHIRA 2023. Communications in Computer and Information Science, vol 1996. Springer, Cham. https://doi.org/10.1007/978-3-031-49425-3_7
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