Catalogue

UK Data Service data catalogue record for:

Hidden Markov models as a tool for sequential eye movement analysis: A replication

Title details

SN: 853080
Title: Hidden Markov models as a tool for sequential eye movement analysis: A replication
Persistent identifier: 10.5255/UKDA-SN-853080
Depositor: B.G. Stuijfzand, University of Bristol
Principal investigator(s): B.G. Stuijfzand, University of Bristol
W.J. Browne, University of Bristol
R.J. Baddeley, University of Bristol
Sponsor(s): Economic and Social Research Council
Grant number: ES/J50015X/1

Citation

The citation for this study is:

B.G. Stuijfzand, University of Bristol, W.J. Browne, University of Bristol, R.J. Baddeley, University of Bristol. (2018). Hidden Markov models as a tool for sequential eye movement analysis: A replication. Data catalogue. UK Data Service. SN: 853080, http://doi.org/10.5255/UKDA-SN-853080

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Subject Categories

Psychology

Abstract

Abstract copyright data collection owner.

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.

Coverage, universe, methodology

Dates of fieldwork: 01 October 2011 - 30 September 2020
Country: United Kingdom
Geography: Bristol
Observation units: Events and processes
Individuals
Kind of data: Numeric
Method of data collection: 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.

Administrative and access information

Date of release:
First edition: 13 February 2018
Latest edition: 13 February 2018 (minor amendments only)
Copyright: B.G. Stuijfzand, University of Bristol
Access conditions: The Data Collection is available to any user without the requirement for registration for download/access.
Availability: UK Data Service
Contact: B.G. Stuijfzand, University of Bristol

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Hidden Markov models as a tool for sequential eye movement analysis: A replication

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