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Assessing segmentation processes by click detection: online measure of statistical learning, or simple interference?

Ana Franco1,2, Vinciane Gaillard3,4, Axel Cleeremans3,4

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Summary

The click detection task, previously used to measure statistical learning in speech, may actually interfere with learning word boundaries. This study suggests it is not a reliable online measure of language acquisition.

Keywords:
Online measuresSpeech segmentationStatistical learning

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Area of Science:

  • Cognitive Psychology
  • Psycholinguistics
  • Speech Perception

Background:

  • Statistical learning aids in extracting words from continuous speech.
  • An online measure using auditory clicks superimposed on artificial speech was proposed to assess statistical learning.
  • Previous findings indicated reaction time differences for within-word versus between-word clicks, suggesting statistical learning of word boundaries.

Purpose of the Study:

  • To evaluate if the click detection task accurately reflects successful statistical learning.
  • To determine if reaction time differences in click detection are a valid indicator of word segmentation.
  • To investigate the impact of concurrent tasks on statistical learning processes.

Main Methods:

  • Participants performed a click detection task while listening to an artificial speech stream.
  • Auditory clicks were presented either within or between nonword units in the speech stream.
  • Reaction times (RTs) to detect clicks were measured and analyzed over exposure duration.

Main Results:

  • The emergence of RT differences between within- and between-word clicks was not systematic.
  • RT differences did not correlate with successful segmentation of the artificial language.
  • The click detection task appeared to interfere with, rather than measure, statistical regularity extraction.

Conclusions:

  • The click detection task is not a reliable online measure of statistical learning for speech segmentation.
  • Concurrent tasks, like click detection, can impede the natural process of statistical learning.
  • Further research is needed to develop accurate online measures for language acquisition processes.