Full metadata
Title
Comparing different types of visual perceptual learning tasks' effects on reading ability
Description
Magnocellular-Dorsal pathway’s function had been related to reading ability, and visual perceptual learning can effectively increase the function of this neural pathway. Previous researches training people with a traditional dot motion paradigm and an integrated visual perceptual training “video game” called Ultimeyes pro, all showed improvement with regard to people’s reading performance. This research used 2 paradigms in 2 groups in order to compare the 2 paradigms’ effect on improving people’s reading ability. We also measured participants’ critical flicker fusion threshold (CFFT), which is related to word decoding ability. The result did not show significant improvement of reading performance in each group, but overall the reading speed improved significantly. The result for CFFT in each group only showed significant improvement among people who trained with Ultimeyes pro. This result supports that the beneficial effect of visual perceptual learning training on people’s reading ability, and it suggests that Ultimeyes pro is more efficient than the traditional dot motion paradigm, and might have more application value.
Date Created
2015
Contributors
- Zhou, Tianyou (Author)
- Nanez, Jose E (Thesis advisor)
- Robles-Sotelo, Elias (Committee member)
- Duran, Nicholas (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
iii, 26 pages : illustrations (some color)
Language
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.29873
Statement of Responsibility
by Tianyou Zhou
Description Source
Viewed on Oct. 27, 2015
Level of coding
full
Note
Partial requirement for: M.S., Arizona State University, 2015
Note type
thesis
Includes bibliographical references (pages 16-18)
Note type
bibliography
Field of study: Psychology
System Created
- 2015-06-01 08:11:05
System Modified
- 2021-08-30 01:29:06
- 3 years ago
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