Segmentation of short keying sequences does not spontaneously transfer to other sequences

Willem B Verwey, Elger L Abrahamse, Luis Jiménez

Research output: Contribution to journalArticleScientificpeer-review


Previous research suggested that highly practiced discrete 6-key sequences are spontaneously segmented, sometimes even differently for different persons. This suggests there is some limit in the length of motor chunks that are assumed to underlie the segments in the sequence. The present experiment examined whether a segmentation pattern induced in one 6-key sequence (the prestructured sequence) determines segmentation in other 6-key sequences. The results are in line with segmentation, but showed neither transfer from the prestructured to a concurrently practiced unstructured sequence, nor to two new sequences that were carried out in a subsequent phase. Moreover, segmentation of these two new sequences was mutually different. Hence, while segmentation seems a phenomenon affecting all 6-element keying sequences, the exact segmentation pattern is not determined by that of a familiar keying sequence. Another result of the present research is that using different fingers of the same hand did slow execution rate (thus indicating effector-specific sequence learning), but the rate reduction was clearly smaller than in a previous study in which transfer to fingers of the other hand was assessed (Verwey & Wright, 2004). This is more in line with effector-specific learning being a result of sequence learning in terms of a hand-based reference frame than learning to directly trigger particular effectors (i.e., the fingers).

Original languageEnglish
Pages (from-to)348-61
Number of pages14
JournalHuman Movement Science
Issue number3
Publication statusPublished - Jun 2009
Externally publishedYes


  • Analysis of Variance
  • Attention/physiology
  • Fingers/physiology
  • Functional Laterality/physiology
  • Hand/physiology
  • Humans
  • Learning/physiology
  • Motor Activity/physiology
  • Motor Skills
  • Psychomotor Performance
  • Reaction Time/physiology
  • Serial Learning/physiology


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