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Time-Varying Effects on Eye Movements during Reading
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik, Computational Linguistics)
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Languages, Department of Linguistics and Philology. (Datorlingvistik, Computational Linguistics)
(English)Manuscript (preprint) (Other academic)
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
URN: urn:nbn:se:uu:diva-167397OAI: oai:DiVA.org:uu-167397DiVA: diva2:484361
Available from: 2012-01-26 Created: 2012-01-26 Last updated: 2013-04-02
In thesis
1. Computational Models of Eye Movements in Reading: A Data-Driven Approach to the Eye-Mind Link
Open this publication in new window or tab >>Computational Models of Eye Movements in Reading: A Data-Driven Approach to the Eye-Mind Link
2012 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis investigates new methods for understanding eye movement behavior in reading based on the use of eye tracking corpora and data-driven modeling. Eye movement behavior is characterized by two basic, generally unconscious, decisions: where and when to move the eyes. We explore the idea that empirical eye movement data carries rich information about the processes that guide these decisions. Two methods are investigated, each addressing a different aspect of eye movements in reading. The role of prediction in eye movement modeling is emphasized, and new evaluation methods for assessing the predictive accuracy of models are proposed. 

The decision of where to move the eyes is approached using standard machine learning methods. The model proposed learns where to move the eyes under different conditions associated with the words being read. Applied to new text, the model moves the eyes in ways it has learnt, showing characteristics similar to human readers. Furthermore, we propose the use of entropy to measure the similarity between observed and predicted eye movement behavior on held-out data. The main contribution is a flexible model, with few fixed parameters, that can be used to investigate decisions about where the eyes move during reading.     

The decision of when to move the eyes is approached using time-to-event modeling (survival analysis). The model proposed learns the timing of eye movements under different conditions associated with the words being read. Applied to new text, the model estimates the probability that a fixation survives for any given length of time. We propose an entropy-related measure to assess the probabilistic temporal predictions of the model. The main contribution is the use of Cox hazards modeling to address questions about the strength, as well as the timing, of processes that influence the decision of when to move the eyes during reading.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2012. 59 p.
Series
Studia Linguistica Upsaliensia, ISSN 1652-1366 ; 11
National Category
Language Technology (Computational Linguistics)
Research subject
Computational Linguistics
Identifiers
urn:nbn:se:uu:diva-167403 (URN)978-91-554-8263-3 (ISBN)
Public defence
2012-03-10, Sal IX, Universitetshuset, Uppsala, 10:15 (English)
Opponent
Supervisors
Available from: 2012-02-16 Created: 2012-01-26 Last updated: 2013-04-02Bibliographically approved

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