Binary Form of Pre-Decision- Options Leads Confidence Value in Naturalistic Decision-Making

Binary Form of Pre-Decision- Options Leads Confidence Value in Naturalistic Decision-Making

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© 2024 by IJETT Journal
Volume-72 Issue-11
Year of Publication : 2024
Author : V. Sabapathi, E. Kamalanaban
DOI : 10.14445/22315381/IJETT-V72I11P117

How to Cite?
V. Sabapathi, E. Kamalanaban, "Binary Form of Pre-Decision- Options Leads Confidence Value in Naturalistic Decision-Making ," International Journal of Engineering Trends and Technology, vol. 72, no. 11, pp. 144-154, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I11P117

Abstract
Binary Pre-Decision-Making (BPDM) is crucial in understanding the intuitive and Naturalistic Decision-Making (NDM) process. In a binary decision, individuals choose between two options, streamlining the decision-making process and making it more straightforward. This study explores the inherent simplicity of BPDM and its impact on Internal Value Assessment (IAV) before making decisions. During pre-decision, BPDM serves as a filtering mechanism, influencing the dominant aspects of IAV. The cognitive association between BPDM and confidence personality metrics is examined, emphasizing the intellectual exploration of individuals within the decision-making context. The binary filtering pattern of BPDM offers advantages such as conflict avoidance, a feasible sense of decision, and an enhancement of IAV. IAV is a critical decision-making component, deeply intertwined with self-esteem and intellectual exploration. The study validates these assertions through an extensive analysis involving 510 participants who made decisions using binary and multiple-choice questions. The results, validated through binomial tests and scale reliability analysis, underscore the robust support for BPDM in the NDM process. The findings suggest that the binary pre-decision process is instrumental in thriving contexts, promoting complexity avoidance and contributing to a more confident and satisfactory final decision.

Keywords
Binary-filtering, Cognitive-systems, Decision-making, Internal assessment value, Option deduction.

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