Full metadata
Title
Comparing the impact of augmented reality and 3D models as visual representations in eBook
Description
Electronic books or eBooks have the potential to revolutionize the way humans read and learn. eBooks offer many advantages such as simplicity, ease of use, eco-friendliness, and portability. The advancement of technology has introduced many forms of multimedia objects into eBooks, which may help people learn from them. To help the readers understand and comprehend a concept that is put forward by the author of an eBook, there is ongoing research involving the use of augmented reality (AR) in education. This study explores how AR and three-dimensional interactive models are integrated into eBooks to help the readers comprehend the content quickly and swiftly. It compares the reading activities of people when they experience these two visual representations within an eBook.
This study required participants to interact with some instructional material presented on an eBook and complete a learning measure. While interacting with the eBook, participants were equipped with a set of physiological devices, namely an ABM EEG headset and eye tracker during the experiment to collect biometric data that could be used to objectively measure their user experience. Fifty college students participated in this study. The data collected from each of the participants was used to analyze the reading activities of people by performing an Independent Samples t-test.
This study required participants to interact with some instructional material presented on an eBook and complete a learning measure. While interacting with the eBook, participants were equipped with a set of physiological devices, namely an ABM EEG headset and eye tracker during the experiment to collect biometric data that could be used to objectively measure their user experience. Fifty college students participated in this study. The data collected from each of the participants was used to analyze the reading activities of people by performing an Independent Samples t-test.
Date Created
2017
Contributors
- Juluru, Kalyan Kumar (Author)
- Atkinson, Robert K. (Thesis advisor)
- Chen, Yinong (Thesis advisor)
- Walker, Erin (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
vi, 59 pages : illustrations (chiefly color)
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.I.45545
Statement of Responsibility
by Kalyan Kumar Juluru
Description Source
Viewed on March 12, 2018
Level of coding
full
Note
thesis
Partial requirement for: M.S., Arizona State University, 2017
bibliography
Includes bibliographical references (pages 40-43)
Field of study: Computer science
System Created
- 2017-10-02 07:20:11
System Modified
- 2021-08-26 09:47:01
- 3 years 2 months ago
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