Mechanism, measurement, and quantification of stress in decision process: a model based systematic-review protocol
Chang Su, Xiaoyuan Li, Lin Yang, and Yong Zeng

TL;DR
This paper reviews existing methods for measuring and quantifying stress in decision-making, clarifies related concepts, and highlights the importance of distinguishing stress from mental effort and workload.
Contribution
It provides a systematic review protocol to categorize and analyze stress measurement methods in decision-making research, emphasizing conceptual clarity.
Findings
Identifies various stress measurement techniques used in decision-making studies.
Highlights the need to distinguish stress from mental effort and workload.
Proposes a systematic review protocol for future research.
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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Taxonomy
TopicsHuman-Automation Interaction and Safety
