Assessment of cognitive biases in Augmented Reality: Beyond eye tracking (dataset)

https://doi.org/10.24378/exe.4064
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dataset

posted on 2025-08-01, 14:44 authored by P Slowinski, B Grindley, H Muncie, D Harris, S Vine, M Wilson

This is the dataset used for the Slowinski et al. (2022) article "Assessment of cognitive biases in augmented reality: Beyond eye tracking" published in the Journal of Eye Movement Research.

Funding

204909/Z/16/Z

DSTLX1000133918

Defence Science and Technology Laboratory (DSTL)

Wellcome Trust

History

Related Materials

1.
Handle - References https://hdl.handle.net/10871/132140
2.
URL - References https://osf.io/kcd83/

Rights

CC BY 4.0

Notes

Data collected for a project: "Augmented reality as a tool for cognitive debiasing: A pilot study to identify behavioural markers that indicate cognitive biases." funded by Phase 1, Defence and Security Accelerator (Behavioural Analytics) Contract Number DSTLX1000133918. Include are data from 40 participants. Data files are in the text format. Files contain recordings of hand, head and eye movements recorded during an odd-one-out task. An additional file contains short comprehensive assessment of rational thinking (CART) scores. xx_OOO_hand.csv - each file with hand movements has the following columns: % timestamp - seconds and fractions of seconds % year, % month, % day, % hour, % minute, % second, % 1st detected hand marker: 1001 - right, 1002 - left % x - x position in the leapmotion frame % y - y position in the leapmotion frame % z - z position in the leapmotion frame % 2nd detected hand marker: 1001 - right, 1002 - left % x - x position in the leapmotion frame % y - y position in the leapmotion frame % z - z position in the leapmotion frame xx_OOO_head.csv - each file with head rotations has the following columns: % timestamp - seconds and fractions of seconds % year, % month, % day, % hour, % minute, % second, % x - rotation % y - rotation % z - rotation xx_OOO_gaze.csv - each file with gaze positions has the following columns extracted from the pupil-labs export file: % timestamp - posixtime with 'TimeZone' 'Europe/London' % confidence - computed confidence between 0 (not confident) 1 (confident) % x - x position in the world image frame in normalized coordinates % y - y position in the world image frame in normalized coordinates xx_OOO_response.csv - each file the odd-one-out task responses has the following columns: % year, % month, % day, % hour, % minute, % second, % task number, % 2nd response, % 1st response xx_OOO_walltime.csv - each file contains: % timestamp - time saved as matlab serial date short_CART_score.csv - file with the short CART score for each participant (in order). The file has following columns: % duration in seconds % indicator that a participant completed CART % short CART score Matlab code used to analyse the data can be accessed at: https://osf.io/kcd83/ The article associated with this dataset is available in ORE at: http://hdl.handle.net/10871/132140

Publisher

University of Exeter

File format

.csv

Language

Department

Mathematics and Statistics

Usage metrics

Keywords

eye movement hand movement head movement earth mover’s distance correlation matrix eye tracking cognitive bias augmented reality

Licence

CC BY