DEVELOPMENT OF AN ALGORITHM FOR PSYCHOMETRIC PROFILING THROUGH SUBCONSCIOUS COGNITIVE PERCEPTION OF COLORS IN VIRTUAL REALITY

This paper explores the development of a psychometric profiling algorithm using subconscious cognitive responses to colors within a virtual reality (VR) environment. The study leverages VR to bypass the observer effect, enhancing data accuracy by analyzing participants' involuntary color choices. The proposed method contrasts traditional conscious participation, offering insights into personality traits, emotional states, and potential stress levels. The results support the use of VR as a tool for psychological assessments, demonstrating its effectiveness in reducing biased data collection and refining psychometric evaluations. involuntary color choices. The proposed method contrasts traditional conscious participation, offering insights into personality traits, emotional states, and potential stress levels. The results support the use of VR as a tool for psychological assessments, demonstrating its effectiveness in reducing biased data collection and refining psychometric evaluations.

Authors

Publication Details

Journal
Annual of Konstantin Preslavsky University of Shumen Faculty of mathematics and informatics
Published
2024-12-03
DOI
https://doi.org/10.46687/azbl2778
Primary Topic
Color perception and design
Type
article
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article

DEVELOPMENT OF AN ALGORITHM FOR PSYCHOMETRIC PROFILING THROUGH SUBCONSCIOUS COGNITIVE PERCEPTION OF COLORS IN VIRTUAL REALITY

PAVEL GRADINAROV
Annual of Konstantin Preslavsky University of Shumen Faculty of mathematics and informatics
Color perception and design
article

DEVELOPMENT OF AN ALGORITHM FOR PSYCHOMETRIC PROFILING THROUGH SUBCONSCIOUS COGNITIVE PERCEPTION OF COLORS IN VIRTUAL REALITY

PAVEL GRADINAROV
article en

Abstract

This paper explores the development of a psychometric profiling algorithm using subconscious cognitive responses to colors within a virtual reality (VR) environment. The study leverages VR to bypass the observer effect, enhancing data accuracy by analyzing participants' involuntary color choices. The proposed method contrasts traditional conscious participation, offering insights into personality traits, emotional states, and potential stress levels. The results support the use of VR as a tool for psychological assessments, demonstrating its effectiveness in reducing biased data collection and refining psychometric evaluations. involuntary color choices. The proposed method contrasts traditional conscious participation, offering insights into personality traits, emotional states, and potential stress levels. The results support the use of VR as a tool for psychological assessments, demonstrating its effectiveness in reducing biased data collection and refining psychometric evaluations.

Annual of Konstantin Preslavsky University of Shumen Faculty of mathematics and informaticsVol. XXV C
Openalex Percentile: Top 71%
Color perception and design
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