Potential Eye Tracking Metrics and Indicators to Measure Cognitive Load in Human-Computer Interaction Research

Antony Joseph, Ramaswamy Murugesh

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Eye tracking has a deep-rooted history in the field of medical and psychological research study as a method for investigating human visual behavior. It is a reliable and nonintrusive technology which opened up innovative approaches of solving problems or getting insightful data, but also emerging as a new filed of research. Due to recent technological advances, eye tracking technology has revolutionized human technology interaction. Even though, many practical issues exist concerning the use of eye tracking as an input device in human-computer interaction (HCI), this method is progressively used in user research, usability evaluation, user interface design, user experience design and in many other everyday applications and products. The objective of this research paper is to present potential indicators and their significance to measure cognitive load within the frame of human-computer interaction. We discussedvarious eye movement metrics and indicators which can be employed to measure cognitive load in the context of HCI research.
Original languageEnglish
Pages (from-to)268-275
Number of pages8
JournalJournal of scientific research
Volume64
Issue number1
DOIs
Publication statusPublished - 3 Jan 2020
MoE publication typeA1 Journal article-refereed

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