Abstract
Instagram is a popular social networking application for young people nowadays. Users can publish and share photos and apply different photo filters to adjust the appearance of pictures. The adjusted photos turn into works with personal characteristics, and users can share their feelings with viewers. This study aimed to infer the user’s personality traits through the analysis of the user’s photo hue. To explore the relationship between photo hue and personality traits, a questionnaire survey was conducted. The subjects were asked to fill in the personality traits questionnaire, and the Instagram photos of the subjects were obtained with their consent. The photo hue was input in the SVM classifier and CNN model, and finally, the personality traits classification results were obtained.
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Wu, CC., Hsu, PY., Xu, N., Cheng, MS., Chen, YY. (2022). Prediction of Personality Traits Through Instagram Photo HSV. In: Kurosu, M. (eds) Human-Computer Interaction. Technological Innovation. HCII 2022. Lecture Notes in Computer Science, vol 13303. Springer, Cham. https://doi.org/10.1007/978-3-031-05409-9_21
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DOI: https://doi.org/10.1007/978-3-031-05409-9_21
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