A Framework for Usability Testing using EEG Signals with Emotion Recognition

Abstract

The analysis of emotions has utility in several applications that cross multiple fields, including education, medicine, psychology, software engineering, accessibility in-habitation studies, healthcare, robotics, marketing, and business. Studying emotions can play an essential role in software engineering, particularly in the domain of usability testing. For example, emotions can be used to determine whether a specific software application achieves acceptable levels of user satisfaction. Furthermore, emotions can be used to test product usability and all its aspects. Emotion detection in usability testing is a first-of-its-kind tool that has the potential to improve software production (designing and interaction), thus enabling the ongoing revolution in software development to continue onwards.This work aims to build an original framework for emotion detection using electroencephalography (EEG) brain signals, which is then applied in usability testing as a case study. This will create opportunities to gain an in-depth understanding of user satisfaction in a precise and accurate way, especially when compared to traditional approaches.