Authors
Djamasbi, SoussanRochford, John
DaBoll-Lavoie, Abigail
Greff, Tyler
Lally, Jennifer
McAvoy, Kayla
UMass Chan Affiliations
Department of Family Medicine and Community HealthEunice Kennedy Shriver Center
Document Type
Conference PaperPublication Date
2016-06-21Keywords
Plain language standards (PLS)Text simplification
Text comprehension
Eye-Tracking
Cognitive effort
Performance
Generation Y
Cognitive Neuroscience
Graphics and Human Computer Interfaces
Musculoskeletal, Neural, and Ocular Physiology
Metadata
Show full item recordAbstract
Research provides ample evidence of the impact web page design has on comprehension; and that Generation Y users are impatient and dislike reading text. Yet there has been little research that focuses on content, in particular to examine the impact of text simplification on younger users’ processing of textual information. To address this need, we report the initial steps of a larger research effort that focuses on developing a set of guidelines for designing simple and effective text passages. Specifically, we compiled a set of existing plain language rules and tested its effectiveness of conveying information to Generation Y users. The results suggest the compiled set of rules can serve as an appropriate tool for designing textual passages to reduce cognitive effort and improve readability of textual content for Generation Y users. Also, the results show that eye tracking serves as an excellent objective measurement for examining the effectiveness of text simplification.Source
Djamasbi, S., Rochford, J., Daboll-Lavoie, A., Greff, T., Lally, J., & Mcavoy, K. (2016). Text Simplification and User Experience. In Proceedings, Part II, of the 10th International Conference on Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience - Volume 9744 (pp. 285–295). DOI:10.1007/978-3-319-39952-2_28. Link to publisher website.
DOI
10.1007/978-3-319-39952-2_28Permanent Link to this Item
http://hdl.handle.net/20.500.14038/48991Notes
Conference proceedings published as volume 9744 of Springer's Lecture Notes in Computer Science.
ae974a485f413a2113503eed53cd6c53
10.1007/978-3-319-39952-2_28