Stuijfzand, B.G. and Browne, W.J. and Baddeley, R.J.
(2018).
Hidden Markov models as a tool for sequential eye movement analysis: A replication.
[Data Collection]. Colchester, Essex:
UK Data Archive.
10.5255/UKDA-SN-853080
Data description (abstract)
This dataset contains the eye movement data of 19 participants engaged in an information search experiment involving two tasks. In each task, the participant was presented with a set of 10 news headlines (in English) and the participant was instructed to either: find a pre-specified word in the headlines (task 1), or, select the headline which they found most interesting (task 2). Each task occurred 50 times (the tasks occurred in a randomised sequence), with the experiment therefore totalling 100 trials, on 50 unique sets of headlines (the headlines were repeated for each task).
The dataset contains 84566 rows. Each row in the dataset contains a single fixation-saccade sequence (i.e. “event”), with information on event timestamps, fixation and saccade location coordinates, saccade velocity, and saccade amplitude available. Further, for each row there are numerical identifiers for the trial, experimental block, type of task, set of news headlines used, and participant (anonymised) available.
An additional demographic dataset is avaible containing the age and sex of the participants.
This dataset was collected for chapter 4 in the following work: Stuijfzand, B. G. (2016). Advanced statistical methods to interpret eye movements : on time-series and individual differences (PhD thesis). See Related Resources.
Data creators: |
Creator Name |
Affiliation |
ORCID (as URL) |
Stuijfzand B.G. |
University of Bristol |
https://orcid.org/0000-0002-2782-3408
|
Browne W.J. |
University of Bristol |
|
Baddeley R.J. |
University of Bristol |
|
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Sponsors: |
Economic and Social Research Council
|
Grant reference: |
ES/J50015X/1
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Topic classification: |
Psychology
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Keywords: |
eye movements, visual search
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Project title: |
Addressing methodological limitations of eye tracking research: Using a Bayesian framework for advanced analysis of gazepatterns
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Grant holders: |
Bobby Stuijfzand
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Project dates: |
From | To |
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23 September 2013 | 25 September 2016 |
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Date published: |
13 Feb 2018 13:10
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Last modified: |
13 Feb 2018 13:11
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Collection period: |
Date from: | Date to: |
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1 October 2011 | 30 September 2020 |
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Geographical area: |
Bristol |
Country: |
United Kingdom |
Data collection method: |
This method description is an edited extract from the following work: Stuijfzand, B. G. (2016). Advanced statistical methods to interpret eye movements : on time-series and individual differences (PhD thesis, See Related Resources). See ExperimentProtocol document.
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Observation unit: |
Event/Process, Individual |
Kind of data: |
Numeric |
Type of data: |
Experimental data
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Resource language: |
English |
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Data sourcing, processing and preparation: |
Eye movement coordinates were recorded at 1000Hz. In a first data processing step this data was parsed to "events", i.e. fixations and saccades. In a second and step, these events were made suitable for a rectangular data format by turning fixation and saccade data points into a single fixation-saccade sequence on each row, with a number of variables describing these fixations and saccades (see variable codebook).
Some experimental blocks were deleted due to eye-tracker calibration issues.
Full details on the data cleaning procedure can be found in the PhD thesis reported under Related Resources, and can also be obtained by contacting the contact person of this dataset.
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Rights owners: |
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Contact: |
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Notes on access: |
The Data Collection is available to any user without the requirement for registration for download/access.
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Publisher: |
UK Data Archive
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Last modified: |
13 Feb 2018 13:11
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