Emotional responses in augmented reality based M-learning applications using Kansei engineering for secondary school students

Design that evoked emotions are one of the main concerning issues in developing mobile applications for online learning general and augmented reality (AR) based specific. Emotional design could attract users by creating different feelings while using AR-based applications. Suitable related to motivate students towards fascinating experiences. The aim this research is evaluate emotional responses on designs Kansei engineering technique. In research, about thirty-two from secondary school were involved an experiment identify (emotion) words data gathered analysed factor analysis (FA), principal component (PCA), partial least square (PLS) analysis. results revealed four important pillars or known as semantic space such challenging-thinking, motivated, humorous, preoccupied also touched additional pillar. Based PLS elements suggested specific pillars. conclusion, motivated give affective formulae would guide materials future.