@inproceedings{f4f732f78e8847af858ff00f302d38b1,
title = "Prediction of Personality Traits Through Instagram Photo HSV",
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{\textquoteright}s personality traits through the analysis of the user{\textquoteright}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.",
keywords = "Convolutional Neural Network (CNN), Instagram, Personality traits, Photo hue, Support Vector Machine (SVM)",
author = "Wu, {Chu Chien} and Hsu, {Ping Yu} and Ni Xu and Cheng, {Ming Shien} and Chen, {Yen Yu}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Human Computer Interaction thematic area of the 24th International Conference on Human-Computer Interaction, HCII 2022 ; Conference date: 26-06-2022 Through 01-07-2022",
year = "2022",
doi = "10.1007/978-3-031-05409-9_21",
language = "???core.languages.en_GB???",
isbn = "9783031054082",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "279--287",
editor = "Masaaki Kurosu",
booktitle = "Human-Computer Interaction. Technological Innovation - Thematic Area, HCI 2022, Held as Part of the 24th HCI International Conference, HCII 2022, Proceedings",
}