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Evaluation of gaze tracking calibration for longitudinal biomedical imaging studies

Abstract:
Gaze tracking is a promising technology for studying the visual perception of clinicians during image-based medical exams. It could be used in longitudinal studies to analyze their perceptive process, explore human-machine interactions, and develop innovative computer-aided imaging systems. However, using a remote eye tracker in an unconstrained environment and over time periods of weeks requires a certain guarantee of performance to ensure that collected gaze data are fit for purpose. We report the results of evaluating eye tracking calibration for longitudinal studies. First, we tested the performance of an eye tracker on a cohort of 13 users over a period of one month. For each participant, the eye tracker was calibrated during the first session. The participants were asked to sit in front of a monitor equipped with the eye tracker, but their position was not constrained. Second, we tested the performance of the eye tracker on sonographers positioned in front of a cart-based ultrasound scanner. Experimental results show a decrease of accuracy between calibration and later testing of 0.30° and a further degradation over time at a rate of 0.13°. month⁻¹. The overall median accuracy was 1.00° 50.9 pixels and the overall median precision was 0.16° 8.3 pixels. The results from the ultrasonography setting show a decrease of accuracy of 0.16° between calibration and later testing. This slow degradation of gaze tracking accuracy could impact the data quality in long-term studies. Therefore, the results we present here can help in planning such long-term gaze tracking studies.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/tcyb.2018.2866274

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-4683-2606
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Women's and Reproductive Health
Role:
Author
More by this author
Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Women's and Reproductive Health
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St Hilda's College
Role:
Author
ORCID:
0000-0002-3060-3772


Publisher:
IEEE
Journal:
IEEE Transactions on Cybernetics More from this journal
Volume:
50
Issue:
1
Pages:
153-163
Publication date:
2018-09-05
Acceptance date:
2018-08-04
DOI:
EISSN:
2168-2275
ISSN:
2168-2267
Pmid:
30188843


Language:
English
Keywords:
Pubs id:
pubs:919065
UUID:
uuid:c750b5ce-03a0-4e7b-bdd3-140e65c4bcad
Local pid:
pubs:919065
Source identifiers:
919065
Deposit date:
2018-11-02

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