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Erschienen in:
Cued Recall with Gaze Guiding—Reduction of Human Errors with a Gaze-Guiding Tool Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

Test-Retest Stability of EEG and Eye Tracking Metrics as Indicators of Variations in User State—An Analysis at a Group and an Individual Level

verfasst von : Jessica Schwarz, Sven Fuchs

Erschienen in: Advances in Neuroergonomics and Cognitive Engineering

Verlag: Springer International Publishing

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Abstract

EEG- and eye tracking metrics have been investigated for their potential as indicators of user state in a variety of studies. However, their stability over time has rarely been assessed and findings are reported predominantly on a group level. In this paper, we report a test-retest analysis that aimed to investigate—at group and individual levels—the temporal stability of fixation duration, pupil dilation, and two built-in metrics from the Emotiv EPOC EEG sensor, namely Engagement and Frustration. The retest confirmed the temporal stability of most physiological metrics at the group level. But analysis at an individual level revealed that outcomes differ strongly between and also within individuals from test to retest. The divergent results between individual and group level illustrate that group level findings are of limited value for applications such as adaptive systems requiring individual user state diagnosis.

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Vorheriges Kapitel Emotiv-Based Low-Cost Brain Computer Interfaces: A Survey
Nächstes Kapitel Transcranial Direct Current Stimulation (tDCS) Versus Caffeine to Sustain Wakefulness at Night When Dosing at Start-of-Shift
Fußnoten
1
In accordance with Tomarken [6], we refer to the term stability for test-retest analyses across sessions and reliability for test-retest-analyses within sessions.
 
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Metadaten
Titel
Test-Retest Stability of EEG and Eye Tracking Metrics as Indicators of Variations in User State—An Analysis at a Group and an Individual Level
verfasst von
Jessica Schwarz
Sven Fuchs
Copyright-Jahr
2017
Buch
Advances in Neuroergonomics and Cognitive Engineering

Print ISBN: 978-3-319-41690-8

Electronic ISBN: 978-3-319-41691-5

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-41691-5_13

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