MindMe: an AI-Powered personality assessment tool

被引:0
|
作者
Tseng, Chun-Hsiung [1 ]
Lin, Hao-Chiang Koong [2 ]
Huang, Andrew Chih-Wei [3 ]
Chen, Yung-Hui [4 ]
Lin, Jia-Rou [1 ]
机构
[1] YuanZe Univ, Dept Elect Engn, Taoyuan City, Peoples R China
[2] Natl Univ Tainan, Dept Informat & Learning Technol, Tainan, Taiwan
[3] Fo Guang Univ, Dept Psychol, Jiaoxi, Taiwan
[4] Lunghwa Univ Sci & Technol, Dept Comp Informat & Network Engn, Taoyuan, Taiwan
关键词
Personality_Traits; Multimedia_Tool; Physiological_Signals; SELF-EFFICACY; SCALE;
D O I
10.1007/s11042-023-16803-x
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
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
收藏
页码:35943 / 35955
页数:13
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