Title

Text Simplification and User Experience

UMMS Affiliation

Eunice Kennedy Shriver Center; Department of Family Medicine and Community Health

Publication Date

2016-06-21

Document Type

Conference Proceeding

Disciplines

Cognitive Neuroscience | Graphics and Human Computer Interfaces | Musculoskeletal, Neural, and Ocular Physiology

Abstract

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.

Keywords

Plain language standards (PLS), Text simplification, Text comprehension, Eye-Tracking, Cognitive effort, Performance, Generation Y

DOI of Published Version

10.1007/978-3-319-39952-2_28

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.

Journal/Book/Conference Title

10th International Conference on Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience

Comments

Conference proceedings published as volume 9744 of Springer's Lecture Notes in Computer Science.

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