Combined eyetracking and keystroke-logging methods for studying cognitive processes in text production
Combined eyetracking and keystroke-logging methods for studying cognitive processes in text production
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.
337-351
Wengelin, Åsa
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Torrance, Mark
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Holmqvist, Kenneth
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Simpson, Sol
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Galbraith, David
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Johansson, Victoria
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Johansson, Roger
d73b3fd2-6eba-43e2-99b1-d4aec496fa8a
2009
Wengelin, Åsa
3ba30518-c5ee-451e-a243-48db126f0a3e
Torrance, Mark
5a573b2f-8393-4882-9a82-8ede380037ec
Holmqvist, Kenneth
7e85803c-acee-4001-a907-8ff4c0a3dbae
Simpson, Sol
9aaf31e7-6834-402d-8b09-8c7d69885d69
Galbraith, David
c4914b0d-4fd1-4127-91aa-4e8afee72ff1
Johansson, Victoria
eef86fdd-b429-4fb7-94aa-fb05bd15bd8f
Johansson, Roger
d73b3fd2-6eba-43e2-99b1-d4aec496fa8a
Wengelin, Åsa, Torrance, Mark, Holmqvist, Kenneth, Simpson, Sol, Galbraith, David, Johansson, Victoria and Johansson, Roger
(2009)
Combined eyetracking and keystroke-logging methods for studying cognitive processes in text production.
Behavior Research Methods, 41 (2), .
(doi:10.3758/BRM.41.2.337).
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.
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Published date: 2009
Organisations:
Southampton Education School
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Local EPrints ID: 337487
URI: http://eprints.soton.ac.uk/id/eprint/337487
ISSN: 1554-351X
PURE UUID: 9158a624-0ab0-4fa9-b818-ef7419154a65
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Date deposited: 26 Apr 2012 09:27
Last modified: 15 Mar 2024 03:42
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Author:
Åsa Wengelin
Author:
Mark Torrance
Author:
Kenneth Holmqvist
Author:
Sol Simpson
Author:
Victoria Johansson
Author:
Roger Johansson
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