Artificial Intelligence-based Decision Support Systems (AIbased DSS) are becoming increasingly important in many contexts. This work aims to define a type of human-machine interactions for new value cocreation processes' ranks, to help identify factors that can stimulate value cocreation in human-machine interactions. To understand if the outcome of a man-machine interaction can contribute to the co-creation of value, and in what way, the work carried out is epistemological and typological, also based on System Thinking. A matrix of novel gradients of the relationships between humans and non-humans has been created, and the typology of human-machine interactions has been identified for the new degrees of value co-creation processes, as well as the new specific scale of skills, in terms of language, learning, know-how, level of trust and endowment of knowledge, as a whole. The main implications concern the need to customize Decision Support Systems (DSS), to enhance different levels of intensity of relationships, and to identify insights for Decision Making AI-based users.

Value co-creation ‘gradients’: enabling human-machine interactions through AI-based DSS

Luca Carrubbo;Francesco Polese;Antonietta Megaro
2022

Abstract

Artificial Intelligence-based Decision Support Systems (AIbased DSS) are becoming increasingly important in many contexts. This work aims to define a type of human-machine interactions for new value cocreation processes' ranks, to help identify factors that can stimulate value cocreation in human-machine interactions. To understand if the outcome of a man-machine interaction can contribute to the co-creation of value, and in what way, the work carried out is epistemological and typological, also based on System Thinking. A matrix of novel gradients of the relationships between humans and non-humans has been created, and the typology of human-machine interactions has been identified for the new degrees of value co-creation processes, as well as the new specific scale of skills, in terms of language, learning, know-how, level of trust and endowment of knowledge, as a whole. The main implications concern the need to customize Decision Support Systems (DSS), to enhance different levels of intensity of relationships, and to identify insights for Decision Making AI-based users.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11386/4778865
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