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Combined eyetracking and keystroke-logging methods for studying cognitive processes in text production.

Wengelin, Åsa LU ; Torrance, Mark; Holmqvist, Kenneth LU ; Simpson, Sol; Galbraith, David; Johansson, Victoria LU and Johansson, Roger LU (2009) In Behavior Research Methods 41(2). p.337-351
Abstract
Writers typically spend a certain proportion of time looking back over the text that they have written. This is likely to serve a number of different functions, which are currently poorly understood. In this article, we present two systems, ScriptLog+ TimeLine and EyeWrite, that adopt different and complementary approaches to exploring this activity by collecting and analyzing combined eye movement and keystroke data from writers composing extended texts. ScriptLog+ TimeLine is a system that is based on an existing keystroke-logging program and uses heuristic, pattern-matching methods to identify reading episodes within eye movement data. EyeWrite is an integrated editor and analysis system that permits identification of the words that the... (More)
Writers typically spend a certain proportion of time looking back over the text that they have written. This is likely to serve a number of different functions, which are currently poorly understood. In this article, we present two systems, ScriptLog+ TimeLine and EyeWrite, that adopt different and complementary approaches to exploring this activity by collecting and analyzing combined eye movement and keystroke data from writers composing extended texts. ScriptLog+ TimeLine is a system that is based on an existing keystroke-logging program and uses heuristic, pattern-matching methods to identify reading episodes within eye movement data. EyeWrite is an integrated editor and analysis system that permits identification of the words that the writer fixates and their location within the developing text. We demonstrate how the methods instantiated within these systems can be used to make sense of the large amount of data generated by eyetracking and keystroke logging in order to inform understanding of the cognitive processes that underlie written text production. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Behavior Research Methods
volume
41
issue
2
pages
337 - 351
publisher
The Psychonomic Society
external identifiers
  • wos:000265352500009
  • pmid:19363174
  • scopus:66149120287
ISSN
1554-351X
DOI
10.3758/BRM.41.2.337
language
English
LU publication?
yes
id
798978fd-7177-4b47-969c-1d7450fe9d28 (old id 1392160)
date added to LUP
2009-05-12 09:39:18
date last changed
2017-08-13 03:36:10
@article{798978fd-7177-4b47-969c-1d7450fe9d28,
  abstract     = {Writers typically spend a certain proportion of time looking back over the text that they have written. This is likely to serve a number of different functions, which are currently poorly understood. In this article, we present two systems, ScriptLog+ TimeLine and EyeWrite, that adopt different and complementary approaches to exploring this activity by collecting and analyzing combined eye movement and keystroke data from writers composing extended texts. ScriptLog+ TimeLine is a system that is based on an existing keystroke-logging program and uses heuristic, pattern-matching methods to identify reading episodes within eye movement data. EyeWrite is an integrated editor and analysis system that permits identification of the words that the writer fixates and their location within the developing text. We demonstrate how the methods instantiated within these systems can be used to make sense of the large amount of data generated by eyetracking and keystroke logging in order to inform understanding of the cognitive processes that underlie written text production.},
  author       = {Wengelin, Åsa and Torrance, Mark and Holmqvist, Kenneth and Simpson, Sol and Galbraith, David and Johansson, Victoria and Johansson, Roger},
  issn         = {1554-351X},
  language     = {eng},
  number       = {2},
  pages        = {337--351},
  publisher    = {The Psychonomic Society},
  series       = {Behavior Research Methods},
  title        = {Combined eyetracking and keystroke-logging methods for studying cognitive processes in text production.},
  url          = {http://dx.doi.org/10.3758/BRM.41.2.337},
  volume       = {41},
  year         = {2009},
}