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Exploring Eye-Gaze Behaviors on Emotional States for Human-Computer Interaction (HCI) Using Eye Tracking Technique

机译:使用眼动追踪技术探索人机交互(HCI)的情绪状态下的视线行为

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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.
机译:如今,人机交互(HCI)成为必不可少的研究领域。但是,大多数当代人机交互系统无法识别人类的情绪状态,无法使用这些信息来决定要执行的适当动作。为了解决这个问题,已经引入了眼动追踪来记录可以表示情绪洞察力的眼睛凝视行为。该手稿将通过经验尝试运用眼睛跟踪设备和方法来研究人类情绪与眼睛​​注视行为之间的关系,从而对本研究进行研究。我们使用眼动追踪技术,探索了由不同唤醒内容的影片剪辑刺激的瞳孔大小和固定持续时间。来自马来西亚日本国际技术学院(MJIIT)的15名学生被选中。通过使用五种情感视频刺激(例如)来研究眼睛注视行为来分析情感。娱乐,欢乐,中立,悲伤和恐惧。使用Tobii TX300眼动仪向受试者显示这些刺激,以获取并记录其凝视行为。使用统计方差分析分析获得的结果。方差分析表明,注视持续时间和瞳孔扩张的p值均小于0.05,表明注视行为与人的情感之间存在显着关系。

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