Jörgen Eriksson
Kristoffer Holmqvist
Mikael Graffner
Email: publicera@lub.lu.se
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Find Publications
Theses, dissertations and research publications (including journal articles, conference abstracts and books) from Lund University are collected in this database. Where possible, the option to download a full text document is available. It is also possible to search for Lund University student theses in the student theses database.
| Title | Combined eyetracking and keystroke-logging methods for studying cognitive processes in text production. |
| Author/s | Åsa Wengelin, Mark Torrance, Kenneth Holmqvist, Sol Simpson, David Galbraith, Victoria Johansson, Roger Johansson |
| Department/s |
Linguistics and Phonetics
|
| Full-text | Full text is not available in this archive |
| Alternative location (URL) | http://dx.doi.org/10.3758/BRM.... Restricted Access (Alternative Location) |
| Publication/Series | Behavior research methods |
| Publishing year | 2009 |
| Volume | 41 |
| Issue | 2 |
| Pages | 337 - 351 |
| Document type | Journal article |
| Status | published |
| Quality controlled | yes |
| Language | English |
| Publisher | Psychonomic Society, Inc. |
| Abstract English | 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. |
| Subject |
Languages and Literatures |
| ISBN/ISSN/Other |
ISSN: 1554-351X |
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