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The effect of subject familiarity on comprehension and eye movements during reading

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OzCHI '13: Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration

Pages 285 - 288

https://doi.org/10.1145/2541016.2541082

Published: 25 November 2013 Publication History

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Abstract

We investigate factors affecting reading and overall comprehension of the underlying meaning and concepts within a piece of text using eye movements. Our objective is to identify eye movement measures that will predict reading comprehension, and intend to apply them in eLearning to create dynamic learning environments that can use eye movement to detect reader comprehension. We found that the self-reported familiarity of readers with the subject of documents affects their reading behaviour but not their total comprehension score, and found that we could identify answer-seeking behaviour and a measure of their actual familiarity with the text content using eye gaze.

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Cited By

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Tahmid ILisle LDavidson KWhitley KNorth CBowman D(2023)Evaluating the Feasibility of Predicting Information Relevance During Sensemaking with Eye Gaze Data2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR59233.2023.00086(713-722)Online publication date: 16-Oct-2023
https://doi.org/10.1109/ISMAR59233.2023.00086
Ho TWang HLai S(2018)Non-native Language Reading Support with Display of Machine Translation Based on Eye-Tracking and Sentence-Level MappingProceedings of the Sixth International Symposium of Chinese CHI10.1145/3202667.3202675(57-63)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3202667.3202675
Greis MKarolus JSchuff HWoźniak PHenze NHenze NWoźniak PVäänänen KWilliamson JSchneegass S(2017)Detecting uncertain input using physiological sensing and behavioral measurementsProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia10.1145/3152832.3152859(299-304)Online publication date: 26-Nov-2017
https://dl.acm.org/doi/10.1145/3152832.3152859
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Index Terms

The effect of subject familiarity on comprehension and eye movements during reading
1. Human-centered computing

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OzCHI '13: Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration

November 2013

549 pages

ISBN:9781450325257

DOI:10.1145/2541016

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 November 2013

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OzCHI '13

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Human Factors & Ergonomics Soc

OzCHI '13: Augmentation, Application, Innovation, Collaboration

November 25 - 29, 2013

Adelaide, Australia

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OzCHI '13 Paper Acceptance Rate 34 of 70 submissions, 49%;

Overall Acceptance Rate 362 of 729 submissions, 50%

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Cited By

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Tahmid ILisle LDavidson KWhitley KNorth CBowman D(2023)Evaluating the Feasibility of Predicting Information Relevance During Sensemaking with Eye Gaze Data2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR59233.2023.00086(713-722)Online publication date: 16-Oct-2023
https://doi.org/10.1109/ISMAR59233.2023.00086
Ho TWang HLai S(2018)Non-native Language Reading Support with Display of Machine Translation Based on Eye-Tracking and Sentence-Level MappingProceedings of the Sixth International Symposium of Chinese CHI10.1145/3202667.3202675(57-63)Online publication date: 21-Apr-2018
https://dl.acm.org/doi/10.1145/3202667.3202675
Greis MKarolus JSchuff HWoźniak PHenze NHenze NWoźniak PVäänänen KWilliamson JSchneegass S(2017)Detecting uncertain input using physiological sensing and behavioral measurementsProceedings of the 16th International Conference on Mobile and Ubiquitous Multimedia10.1145/3152832.3152859(299-304)Online publication date: 26-Nov-2017
https://dl.acm.org/doi/10.1145/3152832.3152859
Copeland LGedeon T(2017)Tutorials in eLearning—How Presentation Affects OutcomesIEEE Transactions on Emerging Topics in Computing10.1109/TETC.2015.24992575:1(20-31)Online publication date: Jan-2017
https://doi.org/10.1109/TETC.2015.2499257
Copeland LGedeon T(2013)Measuring reading comprehension using eye movements2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom)10.1109/CogInfoCom.2013.6719207(791-796)Online publication date: Dec-2013
https://doi.org/10.1109/CogInfoCom.2013.6719207

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