Optimal motivation scheme design using machine learning and control theory

04 November 2021, Version 1

Abstract

The aim is to construct a mathematical model of stress dynamics that takes into account stress level and response of employees to different motivation factors. It suggests an optimal motivational scenario that maximizes “profit”, i.e. provides tradeoff between the best business outcome and the stress level. It consists of task-reward sequences (i.e. scenarios that include tasks and reinforcement delivered when they are completed). We propose a statistical inference method for the model based on data.

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