Critical Success Factors of Analysing User Emotions to Improve the Usability of Systems

Abstract

Emotions of a person depend on several factors like personality, relationships, mental health, and among them, context also plays a major role. The acceptability and usability of a system can be enhanced when the user emotions are considered based on the context. Most of the past research has been carried out related to the detection of emotions using facial expressions, gaze direction, heart rate analysis, Electroencephalogram (EEG) signals, text analytics, and keystroke dynamics along with mouse movements. This paper is a literature review which summarizes the previous research work in order to identify the critical success factors of the existing approaches when detecting user emotions through facial expressions and text data along with the context. Finally, as a conclusion, considering the advantages and drawbacks of the existing applications, the novel approaches that need to be followed to analyse user emotions to improve the usability of systems are proposed.