Abstract
Express Decision (ED), a mobile software application, was developed in order to offer decision-making support in situations of uncertainty. The current work presents a description of the Preference Evaluation Process (PEP), which was created based on Systemic-Structural Activity Theory with the goal of conducting thorough analysis of self-regulation processes that determine the selection of the most preferable alternative, a process in which ED plays a key role. PEP, along with ED, helps to divide a problem into sub-problems, determine the preference for solving each of them, and, as a result, determine the preference of the best alternative for execution. PEP, when splitting problems into sub-problems, implements a divide-and-concur algorithm, in which ED serves as a template (frame) for determining the terminal (ad hoc) level of sub-problems under consideration. The current work demonstrates the implementation of PEP with ED with the use of a real-life example based on solving the problem of selecting the best type of car insurance policy. For this particular problem, decision- and goal-motivation trees are constructed.
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Yemelyanov, A., Baev, S., Yemelyanov, A. (2019). Express Decision – Mobile Application for Quick Decisions: An Overview of Implementations. In: Ayaz, H., Mazur, L. (eds) Advances in Neuroergonomics and Cognitive Engineering. AHFE 2018. Advances in Intelligent Systems and Computing, vol 775. Springer, Cham. https://doi.org/10.1007/978-3-319-94866-9_26
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DOI: https://doi.org/10.1007/978-3-319-94866-9_26
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