Title | ||
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A Visual Interactive Reading System Based on Eye Tracking Technology to Improve Digital Reading Performance |
Abstract | ||
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Developing attention-aware systems and interfaces based on eye tracking technology could revolutionize mainstream human-computer interaction to make that interaction between human beings and computers more effective and immersive than can be achieved traditionally using a computer mouse. This study proposes an eye-controlled interactive reading system (ECIRS) that uses human eyes instead of the traditional mouse to control digital text to support screen-based digital reading. This study uses a quasi-experimental design to examine the effects of an experimental group and a control group of learners who respectively used the ECIRS and a mouse-controlled interactive reading system (MCIRS) to support their reading of two types of English-language text online - pure text and Q & A type articles. Analytical results reveal that the reading comprehension of learners in the experimental group significantly exceeded that of those in the control group for the Q & A article, but the difference was insignificant for the pure text article. Moreover, the ECIRS improved the reading comprehension of field-independent learners more than it did that of field-dependent learners. Clearly, the proposed ECIRS supports deeper digital reading than does the MCIRS. |
Year | DOI | Venue |
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2018 | 10.1109/IIAI-AAI.2018.00043 | 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI) |
Keywords | Field | DocType |
Digital reading, Eye tracking technology, Human computer interaction, reading behavior analysis | Digital reading,Computer mouse,Reading comprehension,Computer science,Eye tracking,Human–computer interaction | Conference |
ISBN | Citations | PageRank |
978-1-5386-7447-5 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Chin-Sheng Chang | 1 | 0 | 0.34 |
Chih-Ming Chen | 2 | 10 | 4.25 |
Yu-Chieh Lin | 3 | 0 | 0.34 |