@inproceedings{4498343edcc84ed8a3770c5595508aad,
title = "EmoFlow: Visualizing Emotional Changes in Video Chat-Preliminary Study",
abstract = "We propose EmoFlow, a prototype service that can recognize the emotional changes of users in video chat and provide a text-based summary along with various visualizations. We present design concepts to represent users' emotional flow on the mobile messenger application in three types: Emoji, Color, and Shape visualizations. Through a user study with 60 voluntary participants, we found that the Emoji type received the highest score in terms of conveying emotions and design preferences. Also, 65 percent of the participants responded they are willing to use the proposed service if several points are enhanced in the future. The survey results suggest that the proposed service would help users understand and manage their emotional status.",
keywords = "Emotion visualization, Facial expression recognition, Flow of emotions, Video chat",
author = "Daun Kim and Oh, \{Ji Yeon\} and Jeong, \{Jae Yeop\} and Jeong, \{Jin Woo\}",
note = "Publisher Copyright: {\textcopyright} 2023 Owner/Author.; 25th International Conference on Mobile Human-Computer Interaction, MobileHCI 2023 Companion ; Conference date: 26-09-2023 Through 29-09-2023",
year = "2023",
month = sep,
day = "26",
doi = "10.1145/3565066.3608702",
language = "English",
series = "Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, MobileHCI 2023 Companion",
publisher = "Association for Computing Machinery, Inc",
editor = "Andreas Komninos and Carmen Santoro and Damianos Gavalas and Johannes Schoening and Maristella Matera and Leiva, \{Luis A.\}",
booktitle = "Proceedings of the 25th International Conference on Mobile Human-Computer Interaction, MobileHCI 2023 Companion",
}