Abstract

Despite being an effective mode of communication, Computer-Mediated Communication (CMC), particularly regarding text-based exchanges, still has inherent limitations compared to in-person communication. The objective of the current study is to review the previous studies which identified and addressed the challenges, including difficulty in embedding emotional information in text effectively. Previous studies demonstrated changes in text properties might deliver emotional information as well as the two phases of text encodings could be completed simultaneously by interaction designs. The study also suggests future studies to find the emotional meaning of text features and to develop novel applications using machine learning technologies.

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