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Reading plays a vital role in updating the researchers on recent developments in the field, including but not limited to solutions to various problems and collaborative studies between disciplines. Prior studies identify reading patterns to vary depending on the level of expertise of the researcher on the content of the document. We present a pilot study of eye-tracking measures during a reading task with participants across different areas of expertise with the intention of characterizing the reading patterns using both eye movement and pupillary information.
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Analyzing Unconstrained Reading Patterns of Digital Documents Using Eye Tracking
Researchers read scientific literature to keep current in the field and find state-of-the-art solutions to various scientific problems. Prior work suggests that reading patterns may vary with the researcher’s domain expertise and on the content of the digital document. In this work, we present a pilot study of eye-tracking measures during a reading task with the options for zooming and panning of the reading material. The main goal is to analyze unconstrained reading patterns of digital documents using eye movement fixations and dwell time on various sections of a digital document. Our results indicate that participants mostly focused on methodology and results sections, which is consistent with the prior work with constrained reading patterns.
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- Award ID(s):
- 2045523
- PAR ID:
- 10313300
- Date Published:
- Journal Name:
- 2021 ACM/IEEE Joint Conference on Digital Libraries (JCDL)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/JCDL52503.2021.00036
