How sequence learning unfolds: Insights from anticipatory eye movements

Cognition. 2020 Aug:201:104291. doi: 10.1016/j.cognition.2020.104291. Epub 2020 Jun 1.

Abstract

The acquisition of sequential knowledge is pivotal in forming skilled behavior. Despite extensive research of sequence learning, much remains unknown regarding what knowledge participants learn in such studies, and how that knowledge takes form over time. By tracking eye-movements made before stimuli appear on screen during a serial reaction time (SRT) task, we devised a method for assessing learning at the individual participant level in an item-based resolution. Our method enables uncovering what participants actually learn about the sequence presented to them, and when. Results demonstrate that learning is more heterogeneous than previously thought, driven by learning both of chunks and of statistics embedded in the sequence. Also, learning develops rapidly, but in a fragmented and non-sequential manner, eventually encompassing only a subset of available regularities. The tools developed in this work may aid in further dissociating processes and mechanisms underlying sequence learning and its impairments, in normal and in clinical populations.

Keywords: Chunking; Eye tracking; Implicit learning; SRT; Sequence learning; Statistical learning.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Eye Movements*
  • Humans
  • Learning*
  • Memory
  • Reaction Time
  • Serial Learning