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Eye Tracking in HCI and Usability Research
Abstract
Eye tracking is a technique whereby an individual’s eye movements are measured so that the researcher knows both where a person is looking at any given time and the sequence in which the person’s eyes are shifting from one location to another. Tracking people’s eye movements can help HCI researchers to understand visual and display-based information processing and the factors that may impact the usability of system interfaces. In this way, eye-movement recordings can provide an objective source of interface-evaluation data that can inform the design of improved interfaces. Eye movements also can be captured and used as control signals to enable people to interact with interfaces directly without the need for mouse or keyboard input, which can be a major advantage for certain populations of users, such as disabled individuals. We begin this article with an overview of eye-tracking technology and progress toward a detailed discussion of the use of eye tracking in HCI and usability research. A key element of this discussion is to provide a practical guide to inform researchers of the various eye-movement measures that can be taken and the way in which these metrics can address questions about system usability. We conclude by considering the future prospects for eye-tracking research in HCI and usability testing.
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“The higher the number of fixations, the more difficult it is to identify the target in the search task and the greater the cognitive load (Poole and Ball, 2006).”
From The impact of usage experience and input modality on trust experience and cognitive load in older adults (2025) · cites this paper as Poole and Ball, 2006
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“Lower fixation rates and smaller increases in cerebral oxygenation in the prefrontal cortex are indicative of more efficient search patterns and lower cognitive load during sustained attention tasks (Goldberg and Kotval 1999; Helton et al. 2010; Poole and Ball 2006; Shaw et al. 2009).”
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Object-wise 3D Gaze Mapping in Physical Workspace
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“…frequency is a ratio-level measurement of the number of times the eye was stationary within a researcher-defined area of interest (AOI), and gaze duration is also a ratio-level measure representing the aggregate sum of the duration of these fixations (Jacob & Karn, 2003; Poole & Ball, 2006).”
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“To sum up, eye tracking allows one to understand visual and display-based information processing by the user, as well as factors that may impact system interface usability (Poole & Ball, 2006).”
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A Study on Attention Attracting Elements of 360-Degree Videos Based on VR Eye-Tracking System
Choi, H., & Nam, S.-H. (2022) · Multimodal Technologies and Interaction · doi:10.3390/mti6070054 · Cited by 6
Estimation of Electrooculography and Blinking Signals Based on Filter Banks
Krupiński, R., & Mazurek, P. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33564-8_19 · Cited by 6
Jankowski, J., Wątróbski, J., Witkowska, K., et al. (2016) · Springer proceedings in business and economics · doi:10.1007/978-3-319-28419-4_20 · Cited by 6
Eye Movement Analysis in Biometrics
Galdi, C., & Nappi, M. (2018) · Series in bioengineering · doi:10.1007/978-981-13-1144-4_8 · Cited by 6
Göz İzleme Tekniği ile Okuma Becerilerinin İncelenmesi
Özer, E., Özdemir, S., & Kara, M. (2020) · Türk Eğitim Bilimleri Dergisi · doi:10.37217/tebd.714158 · Cited by 6
Huang, H., & Hou, G. (2025) · Frontiers in Computer Science · doi:10.3389/fcomp.2025.1659594 · Cited by 5
System for Evaluating Usability and User Experience by Analyzing Repeated Patterns
Kim, Y., Kang, S.-J., & Kim, C. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-39229-0_35 · Cited by 5
“The approach was usually to analyze the data obtained from surveys or log files, which recorded the activity of users, or to use technology such as user eye tracking [3-6].”
MethodSurvey on Eye Movement Based Authentication Systems
Zhang, Y., & Mou, X. (2015) · Communications in computer and information science · doi:10.1007/978-3-662-48558-3_15 · Cited by 5
Arthurs, B. J., Mohan, V., McGrath, K., Scholl, G., & Gold, J. A. (2018) · SAGE Open · doi:10.1177/2158244018774388 · Cited by 5
“These metrics have been increasingly applied in human computer interface and health care information technology (HIT) research (Asan & Yang, 2015; Poole & Ball, 2006).”
MethodEmotions and eye-tracking of differing age groups searching on e-book wall
Wu, K.-C., & Huang, Y.-H. (2018) · Aslib Journal of Information Management · doi:10.1108/ajim-01-2018-0017 · Cited by 5
Natural Pursuits for Eye Tracker Calibration
Murauer, M., Haslgrübler, M., & Ferscha, A. (2018) · International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR) · doi:10.1145/3266157.3266207 · Cited by 5
“As eye behaviour analysis has been successfully used for attention detection [31], cognitive load modelling [9] and skill recognition [23, 45], eye tracking is highly interesting to realize cognition-aware computing.”
MethodVisual Analytics Methods for Eye Tracking Data
Quadar, N., Chehri, A., & Geon, G. (2020) · Smart innovation, systems and technologies · doi:10.1007/978-981-15-5784-2_1 · Cited by 5
Design Suggestions for Digital Workflow Oriented Desktop VR Spaces
Sudár, A., & Horváth, I. (2024) · Híradástechnika/Infocommunications journal · doi:10.36244/icj.2024.5.14 · Cited by 5
Metadata
- Authors
- Poole, A., & Ball, L. J.
- Affiliations
- Lancaster University (GB)
- ORCID
- Ball, Linden J.
- Venue
- Encyclopedia of Human Computer Interaction
- Publisher
- IGI Global
- Published
- 2006
- Pages
- 211-219
- OpenAlex
- W401941822
- Cited by
- 690
- References
- 0
- Citations by year
- 2026: 34 · 2025: 37 · 2024: 32 · 2023: 43 · 2022: 46 · 2021: 56 · 2020: 66 · 2019: 49 · 2018: 74 · 2017: 47 · 2016: 51 · 2015: 37 · 2014: 42 · 2013: 35 · 2012: 16
- Type
- reference entry
- Language
- en
- Open access
- closed
- Locations
- IGI Global eBooks (publishedVersion)
- Lancaster EPrints (Lancaster University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Human Factors and Ergonomics › Human-Automation Interaction and Safety
- Keywords
- eye tracking, eye movements, usability evaluation, human-computer interaction, eye movement metrics, visual processing, gaze-based interaction, assistive technology for people with disabilities, interface design
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