The Cognitive Cost of LLM Writing: A Reading-Time Comparison with Human Text
Provides empirical evidence on how LLM writing affects human cognitive processing, relevant for AI safety and human-AI interaction research.
AI Summary
Research paper finds LLM-generated text requires more cognitive effort per word to read despite being shorter overall, using eye-tracking data to predict reading times.
Excerpt
Although linguistic differences between human-written and Large Language Model (LLM)-generated texts have been extensively studied, their implications for the cognitive effort involved in reading remain less explored. In psycholinguistics, reading time is commonly used as an indirect measure of cognitive processing effort. Building on this perspective, we investigate whether human-written texts and their LLM-generated rewrites exhibit differences in predicted reading time that may reflect differ