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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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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
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- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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