Department of Statistics, Universidad Carlos III, 28903 Getafe, Spain.
UNED, Universidad Nacional de Educación a Distancia, 28015 Madrid, Spain.
Sensors (Basel). 2022 May 23;22(10):3949. doi: 10.3390/s22103949.
Obtaining accurate and objective assessments of an individual's personality is vital in many areas including education, medicine, sports and management. Currently, most personality assessments are conducted using scales and questionnaires. Unfortunately, it has been observed that both scales and questionnaires present various drawbacks. Their limitations include the lack of veracity in the answers, limitations in the number of times they can be administered, or cultural biases. To solve these problems, several articles have been published in recent years proposing the use of movements that participants make during their evaluation as personality predictors. In this work, a multiple linear regression model was developed to assess the examinee's personality based on their movements. Movements were captured with the low-cost Microsoft Kinect camera, which facilitates its acceptance and implementation. To evaluate the performance of the proposed system, a pilot study was conducted aimed at assessing the personality traits defined by the Big-Five Personality Model. It was observed that the traits that best fit the model are Extroversion and Conscientiousness. In addition, several patterns that characterize the five personality traits were identified. These results show that it is feasible to assess an individual's personality through his or her movements and open up pathways for several research.
获取个体人格的准确和客观评估在许多领域都至关重要，包括教育、医学、体育和管理。目前，大多数人格评估都是通过量表和问卷进行的。不幸的是，已经观察到量表和问卷都存在各种缺陷。它们的局限性包括答案的真实性、管理的次数限制，或者文化偏见。为了解决这些问题，近年来已经发表了几篇文章，提出使用参与者在评估过程中的运动作为人格预测因子。在这项工作中，开发了一个多元线性回归模型，根据参与者的运动来评估他们的人格。运动是使用低成本的 Microsoft Kinect 相机捕获的，这有助于其接受和实施。为了评估所提出系统的性能，进行了一项试点研究，旨在评估由五大人格模型定义的人格特质。结果表明，与模型最匹配的特质是外向和尽责。此外，还确定了五个人格特质的特征模式。这些结果表明，通过个体的运动来评估个体的人格是可行的，并为多项研究开辟了道路。
