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Mechanism, measurement, and quantification of stress in decision process: a model based systematic-review protocol

2022/03/19 by Chang Su, Su, Chang, Xiaoyuan Li +5
Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Biological sciences #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Quantitative Methods (q-bio.QM) #cs.HC #q-bio.QM

paper · pdf · doi:10.48550/arxiv.2203.10397

arxiv created 2022/03/19 · arxiv updated 2022/03/22

Abstract

Every human action begins with decision-making. Stress is a significant source of biases that can influence human decision-making. In order to understand the relationship between stress and decision-making, stress quantification is fundamental. Different methods of measuring and quantifying stress in decision-making have been described in the literature while an up-to-date systematic review of the existing methods is lacking. Moreover, mental stress, mental effort, cognitive workload, and workload are often used interchangeably but should be distinguished to enable in-depth investigations of decision-mechanisms. Our objectives are to clarify stress related concepts and review the measurement, quantification, and application of stress during decision making activities.

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