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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Meitu Inc. 2019 US Photo Taiwan Selfie Pink Book (2019)
Matthews, G., Deary, I.J., Whiteman, M.C.: Personality Traits. Cambridge University Press, Cambridge (2003)
Cerbus, G., Nichols, R.C.: Personality variables and response to color. Psychol. Bull. 60(6), 566–575 (1963)
Nolan, R.F., Dai, Y., Stanley, P.D.: An investigation of the relationship between color choice and depression measured by the beck depression inventory. Percept. Mot. Skills 81(3_suppl), 1195–1200 (1995)
Clifton, D.: Basic need in a new light – a colorful diagnosis. Int. J. Real. Ther. 26(1), 18–19 (2006)
Fernando, M.L.D., Cernovsky, Z.Z., Harricharan, R.: Color preference of DSM-III-R bipolars and normal controls. Soc. Behav. Pers. 20(4), 247–250 (1992)
Hartman, T.: Color your future: using the character code to enhance your life. Simon and Schuster (2000)
Vinciarelli, A., Mohammadi, G.: More personality in personality computing. IEEE Trans. Affect. Comput. 5(3), 297–300 (2014). ISSN 1949-3045
Chang, X.Z.: Using text mining to predict personality based on social behavior (2013)
Golbeck, J., Robles, C., Turner, K.: Predicting personality with social media. In: Proceedings of the 29th ACM Conference on Human Factors in Computing Systems (CHI), May 2011 (2011)
Celli, F., Pianesi, F., Stillwell, D., Kosinski, M.: Workshop on computational personality recognition. In: Proceedings of the 22nd ACM International Conference on Multimedia, pp. 1245–1246 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-031-05409-9_21
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-05408-2
Online ISBN: 978-3-031-05409-9
eBook Packages: Computer ScienceComputer Science (R0)