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A Distributional Response Time Analysis of the Perceptual Disfluency Effect
Jason Geller1, Pablo Gomez2, Erin Buchanan3
1Department of Psychology and Neuroscience, Boston College, US.
Journal of Cognition
|October 20, 2025
Summary
Perceptual disfluency, like blurred text, can improve memory. High levels of blur enhance word recall by affecting early and late cognitive processes during encoding.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Memory Research
Background:
- Perceptual disfluency, such as blurred text, can paradoxically enhance memory retention.
- The cognitive mechanisms underlying this memory enhancement effect are not fully understood.
Purpose of the Study:
- To investigate how different levels of perceptual disfluency influence cognitive processes during memory encoding.
- To determine the specific stages of information processing affected by perceptual disfluency.
- To examine the interaction between perceptual disfluency, word frequency, and memory performance.
Main Methods:
- Experiments involved manipulating blurring levels (clear, low-blur, high-blur) during word encoding.
- Lexical decision tasks and semantic categorization tasks were used, with response latencies analyzed.
- Computational modeling, including ex-Gaussian and drift diffusion models, was employed to analyze cognitive processes.
Main Results:
- High levels of perceptual disfluency significantly improved word recognition memory compared to clear or low-blur conditions.
- Blurring differentially affected cognitive processing: high-blur impacted both early and late stages, while low-blur primarily affected early stages.
- The memory benefit of high-blur was most pronounced for high-frequency words, suggesting an interaction between fluency and word characteristics.
Conclusions:
- Both early perceptual and later cognitive processing stages contribute to the memory benefits of perceptual disfluency.
- Computational modeling provides valuable insights into the encoding mechanisms affected by perceptual challenges.
- Understanding these mechanisms can refine models of memory and perceptual processing.

