Abstract
The high cost of stress both at the individual and societal levels is well documented. This study seeks to explore a new approach to the detection of individuals suffering from high levels of stress, through the analysis of changes in personality density distributions in relation to stress. The proposed approach is to gain personality profile information from text - building density distributions from these profiles, and using this same text to carry out stress analysis. The density distributions are then further analysed to explore the potential to identify density distribution shape changes in relation to stress.
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Lys, B., Tao, X., Machin, T., Zhang, J., Zhong, N. (2019). Identification of Stress Impact on Personality Density Distributions. In: Liang, P., Goel, V., Shan, C. (eds) Brain Informatics. BI 2019. Lecture Notes in Computer Science(), vol 11976. Springer, Cham. https://doi.org/10.1007/978-3-030-37078-7_26
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DOI: https://doi.org/10.1007/978-3-030-37078-7_26
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