Towards understanding the differences between reading on paper and screen
measuring attention changes in brain activity
DOI:
https://doi.org/10.15291/libellarium.v9i1.240Keywords:
reading, paper vs screen, attention, brain activityAbstract
Non-intrusive experimentation and measurements can be obtained from the latest neuroscience scanning techniques and technologies. Such technologies are now quite affordable and could possibly be used for the reading process research in information and communication sciences. The research experiment focuses on measuring the changes in attention while reading the text on different media (devices). The pilot experiment showed that cheap and easy to use brainwave measuring devices can be used for testing reading processes by measuring attention (concentration). The results revealed that a reading medium (device) affects the level of attention and suggested that less attention is needed to read from paper compared to any size or type of screen. Reading books (in a foreign language) can mostly be considered neutral on the attention level scale (slightly shifted towards 53 on a 1-100 scale).
Downloads
References
Chu, Christina A., Mark Rosenfield, and Joan K. Portello. 2014. "Blink patterns: reading from a computer screen versus hard copy." Optometry & Vision Science 91, 3: 297-302. DOI: https://doi.org/10.1097/OPX.0000000000000157
Chu, Christina A.; Mark Rosenfield, Joan K. Portello, Jaclyn A. Benzoni, and Juanita D. Collier. 2011. "A comparison of symptoms after viewing text on a computer screen and hardcopy." Ophthalmic and Physiological Optics 31, 1: 29-32. DOI: https://doi.org/10.1111/j.1475-1313.2010.00802.x
Johnstone, S., R. Blackman, and J. Bruggemann. 2012. "EEG from a single channel dry sensor recording device." Clinical EEG and Neuroscience 43, 2: 112-120. DOI: https://doi.org/10.1177/1550059411435857
Rebolledo-Mendez, Genaro, Ian Dunwell, Erika A. Martínez-Mirón, María Dolores Vargas-Cerdán, Sara Freitas, Fotis Liarokapis, and Alma R García-Gaona. 2009. "Assessing NeuroSky's Usability to Detect Attention Levels in an Assessment Exercise." Proceedings of the 13th International Conference on Human-Computer Interaction. Part I: New Trends, July 19-24, 2009, San Diego, CA. DOI: https://doi.org/10.1007/978-3-642-02574-7_17
Rogers, Jeffrey M., Stuart J. Johnstone, Anna Aminova, James Donnellyc, and Peter H. Wilson. 2016. "Test-retest reliability of a single-channel, wireless EEG system." International Journal of Psychophysiology 106: 87–96. DOI: https://doi.org/10.1016/j.ijpsycho.2016.06.006
Sharmin, Selina, Oleg Špakov, and Kari-Jouko Räihä. 2012. "The effect of different text presentation formats on eye movement metrics in reading." Journal of Eye Movement Research 5, 3: 1-9. http://www.jemr.org/download/pictures/d4/7ufz0au8cp2ae9jyjnymwi30z7obe6/sharmin_jemr_2012_revised1.pdf
Sturges, Paul. 2014. "The brain at the centre of the information universe: lessons from popular neuroscience." Libellarium: Journal for the Research of Writing, Books, and Cultural Heritage Institutions 7, 1: 3-15. DOI: https://doi.org/10.15291/libellarium.v7i1.193
Taipale, Sakari. 2014. "The affordances of reading/writing on paper and digitally in Finland." Telematics and Informatics 31, 4: 532-542. DOI: https://doi.org/10.1016/j.tele.2013.11.003
Zambarbieri, Daniela, and Elena Carniglia. 2012. "Eye movement analysis of reading from computer displays, eReaders and printed books." Ophthalmic and Physiological Optics 32, 390–396. DOI: https://doi.org/10.1111/j.1475-1313.2012.00930.x
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
