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Wednesday November 18, 2026 3:00pm - 4:00pm EST
How does writing strategy affect whether adults can understand and use information?  This study compares how traditional technical writing, AI-generated content, and plain language affect adult reading comprehension in high-stakes contexts—health, legal, and financial. Using a 3×3 Latin Square design, browser-based eye-tracking, and a novel discourse annotation framework, the study examines how textual structure shapes readers' ability to understand and act on information. Findings contribute to information literacy practice, plain language policy, and the design of public-facing communication.
Poster Presenters
RM

Romina Marazzato Sparano

PhD Candidate, Library and Information Science, University at Buffalo, University at Buffalo
Romina Marazzato Sparano is a PhD candidate in Library and Information Science at the University at Buffalo, advised by Jianqiang Wang and Cassandra Jacobs. Her dissertation examines how writing strategies—traditional technical writing, AI-generated content, and human plain language—shape... Read More →
Wednesday November 18, 2026 3:00pm - 4:00pm EST
TBA

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