Abstract
The increasing interest in exploring the correlation between personality traits and real-life individual characteristics has been driven by the growing popularity of the Myers‒Briggs Type Indicator (MBTI) on social media platforms. To investigate this correlation, we conduct an analysis on a Myers‒Briggs Type Indicator (MBTI)-demographic dataset and present MBTIviz, a visualization system that enables researchers to conduct a comprehensive and accessible analysis of the correlation between personality and demographic variables such as occupation and nationality. While humanities and computer disciplines provide valuable insights into the behavior of small groups and data analysis, analysing demographic data with personality information poses challenges due to the complexity of big data. Additionally, the correlation analysis table commonly used in the humanities does not offer an intuitive representation when examining the relationship between variables. To address these issues, our system provides an integrated view of statistical data that presents all demographic information in a single visual format and a more informative and visually appealing approach to presenting correlation data, facilitating further exploration of the linkages between personality traits and real-life individual characteristics. It also includes machine learning predictive views that help nonexpert users understand their personality traits and provide career predictions based on demographic data. In this paper, we utilize the MBTIviz system to analyse the MBTI-demographic dataset, calculating age, gender, and occupation percentages for each MBTI and studying the correlation between MBTI, occupation, and nationality.
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Acknowledgements
The paper is supported by the National Nature Science Foundation of China (Grant No. 61100053) and a research grant from Intel Asia-Pacific Research and Development Co., Ltd. We would like to express our gratitude to Tingfei Zhu at the Shanghai Jiao Tong University Psychological Counselling Center for her expert contribution to our user studies, as well as to Tianxiang Ye and Jixuan Wang for their participation as nonexpert users. Our sincere thanks also go to the anonymous reviewers for their insightful feedback and constructive suggestions that helped improve the quality of this paper.
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Yang, Y., Dong, X., Tian, X., Zhang, Y., Zhou, M. (2023). MBTIviz: A Visualization System for Research on Psycho-Demographics and Personality. In: Yu, Z., et al. Data Science. ICPCSEE 2023. Communications in Computer and Information Science, vol 1879. Springer, Singapore. https://doi.org/10.1007/978-981-99-5968-6_19
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DOI: https://doi.org/10.1007/978-981-99-5968-6_19
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