CogSci 2025

•

August 02, 2025

•

San Francisco, United States

keywords:

language comprehension

eye tracking

psychology

reading

natural language processing

Text simplification is a common practice for making texts easier to read and easier to understand. To which extent does it achieve these goals, and which participant and text characteristics drive simplification benefits?
In this work, we use eye tracking to address these questions for the first time for the population of adult native (L1) English speakers. We find that 42% of the readers exhibit reading facilitation effects, while only 2% improve reading comprehension accuracy. We further observe that reading fluency benefits are larger for slower and less experienced readers, while comprehension benefits are more substantial in lower comprehension readers, but not vice versa. Finally, we find that high-complexity original texts are key for enhancing reading fluency, while large complexity reduction is more pertinent to improving comprehension. Our study highlights the potential of cognitive measures in the evaluation of text simplification and distills empirically driven principles for enhancing simplification effectiveness.

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