Keystroke Analysis

Veerle M. Baaijen ; David Galbraith University of Southampton ; Kees de Glopper University of Groningen

Abstract

Although keystroke logging promises to provide a valuable tool for writing research, it can often be difficult to relate logs to underlying processes. This article describes the procedures and measures that the authors developed to analyze a sample of 80 keystroke logs, with a view to achieving a better alignment between keystroke-logging measures and underlying cognitive processes. They used these measures to analyze pauses, bursts, and revisions and found that (a) burst lengths vary depending on their initiation type as well as their termination type, suggesting that the classification system used in previous research should be elaborated; (b) mixture models fit pause duration data better than unimodal central tendency statistics; and (c) individuals who pause for longer at sentence boundaries produce shorter but more well-formed bursts. A principal components analysis identified three underlying dimensions in these data: planned text production, within-sentence revision, and revision of global text structure.

Journal
Written Communication
Published
2012-07-01
DOI
10.1177/0741088312451108
Open Access
OA PDF Green
Topics

Citation Context

Cites in this index (3)

  1. Written Communication
  2. Written Communication
  3. Research in the Teaching of English
Also cites 13 works outside this index ↓
  1. 10.2307/356630
  2. 10.4135/9780857021069.n5
  3. 10.1080/01621459.1995.10476572
  4. 10.1016/j.bandl.2005.07.090
  5. Computer keystroke logging and writing: Methods and applications
  6. 10.7551/mitpress/6393.001.0001
  7. Computer keystroke logging and writing: Methods and applications
  8. 10.1002/0471721182
  9. 10.1016/j.jslw.2006.06.002
  10. 10.1163/9780080460932
  11. 10.1016/S0378-2166(02)00121-2
  12. 10.1037/0033-2909.128.3.442
  13. 10.1163/9780080460932_008
CrossRef global citation count: 84 View in citation network →