Abstract
The paper proposes the self-regulation model (SRM) of decision-making, which is based on the self-regulation model of the thinking process developed within the systemic-structural activity theory. SRM includes two sub-models: formation of mental model (FMM), which is executed by the divide and concur algorithm, and formation of the level of motivation (FLM), which is executed by the dynamic programming algorithm, as well as the regulation of their interaction by using feedback and feedforward controls. Feedback control is regulated by the factor of difficulty and feedforward control is regulated by the factor of significance. These two factors determine four general criteria of success in evaluating and regulating the level of motivation. The paper formulates primary rules of self-regulation in decision-making in which the factors of significance and difficulty are designated the leading role. In a real-life example with a Facebook friend request we demonstrate how these rules were implemented in Performance Evaluation Process, which relies on Express Decision, a mobile web application for supporting an individual in making quick decisions in complex problems.
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Yemelyanov, A. (2020). Self-regulation Model of Decision-Making. In: Ayaz, H. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2019. Advances in Intelligent Systems and Computing, vol 953. Springer, Cham. https://doi.org/10.1007/978-3-030-20473-0_24
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DOI: https://doi.org/10.1007/978-3-030-20473-0_24
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