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A Conceptual Framework of Human-System Interaction Under Uncertainty-Based on Shadow System Perspective

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Technological Innovation for Applied AI Systems (DoCEIS 2021)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 626))

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Abstract

Instability is the norm, and emergency management has gradually become the general situation of organizations. Due to the enterprise business systems are developed to handle certain business under a planned and controlled assumption, cannot solve the uncertain business. Instead, a large number of uncertain business mainly rely on people’s interactives which bring diverse perspectives and sharing knowledge to solve. This paper interprets the representation of shadow system under uncertainty and further analyzes one type of obstacle of human-system interaction based on empirical analysis. Finally, this paper designs a conceptual framework about the feedback and enabling between shadow system and legitimate system to solve this obstacle.

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Acknowledgments

Funding for this research was provided by the Fundamental Research Funds for the Central Universities (2021YJS050)

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Correspondence to Qingyu Liang .

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Liang, Q., Gou, J. (2021). A Conceptual Framework of Human-System Interaction Under Uncertainty-Based on Shadow System Perspective. In: Camarinha-Matos, L.M., Ferreira, P., Brito, G. (eds) Technological Innovation for Applied AI Systems. DoCEIS 2021. IFIP Advances in Information and Communication Technology, vol 626. Springer, Cham. https://doi.org/10.1007/978-3-030-78288-7_15

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  • DOI: https://doi.org/10.1007/978-3-030-78288-7_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-78287-0

  • Online ISBN: 978-3-030-78288-7

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