Exploring eye-gaze behaviors on emotional states for human-computer interaction (HCI) using eye tracking technique

Abstract

Human computer interaction (HCI) is becoming an essential area of study these days. However, most contemporary HCI systems are unable to identify human emotional states and use this information in deciding upon proper actions to execute. To solve this problem, eye tracking has been introduced to record the eye gaze behaviours which can signify the insight of emotions. This manuscript will look into this study by empirically attempt to apply the eye tracking device and method to investigate the relationship of human emotions and eye-gaze behaviour. We explored the pupil size and fixation duration stimulated by film clips of different arousal content using the eye tracking technology. Fifteen students from Malaysian-Japan International Institute of Technology (MJIIT) are chosen. Emotions are analysed by studying the eye gaze behaviours using five emotional video stimuli e.g. Amusement, Joy, Neutral, Sad and Fear. These stimuli are displayed to the subjects to obtain and record their gaze behaviour using the Tobii TX300 eye tracker. The results which are obtained are analysed using statistical ANOVA analysis. The ANOVA analysis shows that the significance, p value less than 0.05 for both fixation duration and pupil dilation which indicates there is significant relationship between eye-gaze behaviour and human emotions.