Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-9434
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Main Title: Real-time inference of word relevance from electroencephalogram and eye gaze
Author(s): Wenzel, Markus A.
Bogojeski, Mihail
Blankertz, Benjamin
Type: Article
Language Code: en
Abstract: Objective. Brain-computer interfaces can potentially map the subjective relevance of the visual surroundings, based on neural activity and eye movements, in order to infer the interest of a person in real-time. Approach. Readers looked for words belonging to one out of five semantic categories, while a stream of words passed at different locations on the screen. It was estimated in real-time which words and thus which semantic category interested each reader based on the electroencephalogram (EEG) and the eye gaze. Main results. Words that were subjectively relevant could be decoded online from the signals. The estimation resulted in an average rank of 1.62 for the category of interest among the five categories after a hundred words had been read. Significance. It was demonstrated that the interest of a reader can be inferred online from EEG and eye tracking signals, which can potentially be used in novel types of adaptive software, which enrich the interaction by adding implicit information about the interest of the user to the explicit interaction. The study is characterised by the following novelties. Interpretation with respect to the word meaning was necessary in contrast to the usual practice in brain-computer interfacing where stimulus recognition is sufficient. The typical counting task was avoided because it would not be sensible for implicit relevance detection. Several words were displayed at the same time, in contrast to the typical sequences of single stimuli. Neural activity was related with eye tracking to the words, which were scanned without restrictions on the eye movements.
URI: https://depositonce.tu-berlin.de/handle/11303/10482
http://dx.doi.org/10.14279/depositonce-9434
Issue Date: 16-Aug-2017
Date Available: 11-Dec-2019
DDC Class: 150 Psychologie
610 Medizin und Gesundheit
Subject(s): brain-computer interfacing
electroencephalography
eye movements
reading
relevance detection
semantics
unrestricted viewing
Sponsor/Funder: EC/FP7/611570/EU/Symbiotic Mind Computer Interaction for Information Seeking/MindSee
License: https://creativecommons.org/licenses/by/3.0/
Journal Title: Journal of Neural Engineering
Publisher: IOP Publishing
Publisher Place: Bristol
Volume: 14
Issue: 5
Article Number: 056007
Publisher DOI: 10.1088/1741-2552/aa7590
EISSN: 1741-2552
ISSN: 1741-2560
Appears in Collections:FG Neurotechnologie » Publications

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