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Authors: Catia Cepeda 1 ; Maria Dias 2 ; Dina Rindlisbacher 3 ; Marcus Cheetham 3 and Hugo Gamboa 2

Affiliations: 1 LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal, Department of Internal Medicine, University Hospital Zurich, Zurich, Switzerland ; 2 LIBPhys (Laboratory for Instrumentation, Biomedical Engineering and Radiation Physics), Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal ; 3 Department of Internal Medicine, University Hospital Zurich, Zurich, Switzerland, University Research Priority Program "Dynamics of Healthy Aging", University Zurich, Zurich, Switzerland

ISBN: 978-989-758-398-8

ISSN: 2184-4305

Keyword(s): Eye-tracking, Pointer-tracking, Human Computer Interaction, Decision making, Uncertainty.

Abstract: Eye-tracking (ET) systems, which capture eye movements, are often used to measure human behavior while interacting with a user interface. Given the high costs and challenges of acquiring, installing and ensuring good calibration of ET systems, the use of pointer (or mouse) tracking is gaining interest as a viable alternative in research on human-computer interaction. In this study, we measured and evaluated temporal and spatial relationships between eye and pointer movements in a standardized task that allowed us to examine the relationship between eye and pointer movements while participants made decisions under conditions of high and low uncertainty. We collected data from N=81 participants and applied a range of metrics to a total of 5205 decision trials. The overall findings show that the convergence between eye and pointer movements is consistently high. Importantly, there are differences in levels of convergence depending on the temporal, spatial and combined temporo-spatial met rics used. There are also differences in eye-pointer convergence depending on the relative level of decision uncertainty in the task. In conclusion, the present findings favour the use of pointer tracking to analyse human-computer interaction in more complex tasks. (More)

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Paper citation in several formats:
Cepeda, C.; Dias, M.; Rindlisbacher, D.; Cheetham, M. and Gamboa, H. (2020). Eye-pointer Coordination in a Decision-making Task Under Uncertainty.In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4 BIOSIGNALS: BIOSIGNALS, ISBN 978-989-758-398-8, ISSN 2184-4305, pages 30-37. DOI: 10.5220/0008867500300037

@conference{biosignals20,
author={Catia Cepeda. and Maria Camila Dias. and Dina Rindlisbacher. and Cheetham, M. and Hugo Gamboa.},
title={Eye-pointer Coordination in a Decision-making Task Under Uncertainty},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4 BIOSIGNALS: BIOSIGNALS,},
year={2020},
pages={30-37},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008867500300037},
isbn={978-989-758-398-8},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4 BIOSIGNALS: BIOSIGNALS,
TI - Eye-pointer Coordination in a Decision-making Task Under Uncertainty
SN - 978-989-758-398-8
AU - Cepeda, C.
AU - Dias, M.
AU - Rindlisbacher, D.
AU - Cheetham, M.
AU - Gamboa, H.
PY - 2020
SP - 30
EP - 37
DO - 10.5220/0008867500300037

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