Integrated Analysis of EEG and eye tracking to measure emotional responses in a simulated healthcare setting

Andrews, Megan and Setchi, Rossitza ORCID: https://orcid.org/0000-0002-7207-6544 2023. Integrated Analysis of EEG and eye tracking to measure emotional responses in a simulated healthcare setting. Procedia Computer Science 225 , pp. 2047-2056. 10.1016/j.procs.2023.10.195

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Abstract

Electroencephalography (EEG) and eye tracking devices are used in this study to assess the capability of such systems to measure emotional responses in a healthcare-related environment. Experiments are conducted in which positive, negative and neutral stimuli are presented to participants and data is captured from both systems simultaneously. Images from the International Affective Picture System (IAPS) are employed to trigger standardised emotion states and calibrate the experiment, whilst images from a medical drama are used to provide hospital-based stimuli. It is found that EEG and eye tracking can successfully indicate emotion features, with the EEG data providing better visualisation, whilst eye metrics are more meaningful with statistics. Both devices show that the emotional responses to hospital-based images differ to the responses from standardised images. Greater variation between participants in the hospital-based stimuli indicates that personal experiences from healthcare related events can influence emotional responses to related stimuli.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	1877-0509
Date of First Compliant Deposit:	18 December 2023
Date of Acceptance:	12 June 2023
Last Modified:	10 Feb 2024 02:24
URI:	https://orca.cardiff.ac.uk/id/eprint/164778

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