Applying eye tracking device on the gazing behaviour and its effects on emotions attributes

Thiyagarajan, Sumita and Amin, Muhamad Kamal Mohammed and Wibirama, Sunu and Mikami, O. (2019) Applying eye tracking device on the gazing behaviour and its effects on emotions attributes. Journal of Advanced Manufacturing Technology, 13 (Specia). 57 - 68. ISSN 19853157

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Abstract

Recent eye-tracking technology has grown popularity in various field of research and industry. However, it has been a challenge to identify human emotional states using eye tracking method. The purpose of this study is an empirical attempt to apply the eye tracking device and method to investigate the relationship between human emotions and eye-gaze behaviors. In order to achieve this purpose, nine emotional video stimuli such as Amusement, Joy, Neutral, Sad and Fear are used to stimulate two types of emotions which are positive and negative. These stimuli are displayed and emotions are measured using eye-tracker, Tobii TX 300. Fifteen students from Malaysian-Japan International Institute of Technology (MJIIT) are randomly chosen for the study. The results obtained are in the form of fixation duration and pupil dilation. The results are filtered and tabulated to analyze the related behavior. Mean fixation duration and pupil dilation are calculated to identify the video stimuli with the highest count. ANOVA analysis shows that the significance, p-value is 0.43 for fixation duration. Whereas, p-value 0.003 for pupil dilation indicating there is a significant relationship between eye-gaze behavior and emotion. This study might be favorable in usability issues in human-computer interaction (HCI) contexts. © 2018 Penerbit Universiti Teknikal Malaysia Melaka.

Item Type: Article
Additional Information: Cited by: 1
Uncontrolled Keywords: Eye Tracking; Emotions; Gaze Behavior; Pupil Dilation; Fixation Duration
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > Electronics
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Sri JUNANDI
Date Deposited: 18 Jun 2026 08:03
Last Modified: 18 Jun 2026 08:03
URI: https://ir.lib.ugm.ac.id/id/eprint/25370

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