Industrial Engineering and Management, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan.
Institute of Photonics and Communications, National Kaohsiung University of Applied Sciences, Kaohsiung 80778, Taiwan.
Sensors (Basel). 2017 Oct 23;17(10):2418. doi: 10.3390/s17102418.
Over the years, analysis and induction of personality traits has been a topic for individual subjective conjecture or speculation, rather than a focus of inductive scientific analysis. This study proposes a novel framework for analysis and induction of personality traits. First, 14 personality constructs based on the "Big Five" personality factors were developed. Next, a new fingerprint image algorithm was used for classification, and the fingerprints were classified into eight types. The relationship between personality traits and fingerprint type was derived from the results of the questionnaire survey. After comparison of pre-test and post-test results, this study determined the induction ability of personality traits from fingerprint type. Experimental results showed that the left/right thumbprint type of a majority of subjects was left loop/right loop and that the personalities of individuals with this fingerprint type were moderate with no significant differences in the 14 personality constructs.
多年来，人格特质的分析和归纳一直是个人主观推测或猜测的话题，而不是归纳科学分析的重点。本研究提出了一种人格特质分析和归纳的新框架。首先，基于“大五”人格因素开发了 14 个人格结构。其次，使用一种新的指纹图像算法进行分类，将指纹分为八种类型。人格特质与指纹类型的关系来自问卷调查的结果。在比较预测试和后测试结果后，本研究从指纹类型确定了人格特质的归纳能力。实验结果表明，大多数受试者的左右拇指指纹类型为左环/右环，具有这种指纹类型的个体的个性是适中的，在 14 个人格结构中没有显著差异。
