MindMe: an AI-Powered personality assessment tool

被引:0
|
作者
Chun-Hsiung Tseng
Hao-Chiang Koong Lin
Andrew Chih-Wei Huang
Yung-Hui Chen
Jia-Rou Lin
机构
[1] YuanZe University,Department of Electrical Engineering
[2] National University of Tainan,Department of Information and Learning Technology
[3] Fo Guang University,Department of Psychology
[4] Lunghwa University of Science and Technology,Department of Computer Information and Network Engineering
来源
关键词
Personality_Traits; Multimedia_Tool; Physiological_Signals;
D O I
暂无
中图分类号
学科分类号
摘要
Personality assessment plays a crucial role in various domains, such as clinical diagnosis, organizational settings, and academic achievement. While most existing assessment models rely on questionnaires or scales, this manuscript proposes an AI-based assessment application that utilizes physiological signals as input. The underlying model is developed in our previous research work and was built upon the big five personality model, encompassing extraversion, agreeableness, conscientiousness, emotional stability, and openness to experience. The manuscript presents the development of a user-friendly GUI application that simplifies the usage of this assessment model. The application supports real-time personality assessment by automatically connecting to physiological sensors and providing real-time signal visualization. It also generates comprehensive reports for offline analysis. The manuscript further discusses the related works on personality trait models and assessment methods, as well as the system analysis, design, and implementation. The proposed tool shows promise in simplifying the assessment process and enabling real-time personality assessment.
引用
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页码:35943 / 35955
页数:12
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