Please use this identifier to cite or link to this item: http://dx.doi.org/10.14279/depositonce-6419
Main Title: Assessing the depth of cognitive processing as the basis for potential user-state adaptation
Author(s): Nicolae, Irina-Emilia
Acqualagna, Laura
Blankertz, Benjamin
Type: Article
Language Code: en
Abstract: Objective: Decoding neurocognitive processes on a single-trial basis with Brain-Computer Interface (BCI) techniques can reveal the user's internal interpretation of the current situation. Such information can potentially be exploited to make devices and interfaces more user aware. In this line of research, we took a further step by studying neural correlates of different levels of cognitive processes and developing a method that allows to quantify how deeply presented information is processed in the brain. Methods/Approach: Seventeen participants took part in an EEG study in which we evaluated different levels of cognitive processing (no processing, shallow, and deep processing) within three distinct domains (memory, language, and visual imagination). Our investigations showed gradual differences in the amplitudes of event-related potentials (ERPs) and in the extend and duration of event-related desynchronization (ERD) which both correlate with task difficulty. We performed multi-modal classification to map the measured correlates of neurocognitive processing to the corresponding level of processing. Results: Successful classification of the neural components was achieved, which reflects the level of cognitive processing performed by the participants. The results show performances above chance level for each participant and a mean performance of 70–90% for all conditions and classification pairs. Significance: The successful estimation of the level of cognition on a single-trial basis supports the feasibility of user-state adaptation based on ongoing neural activity. There is a variety of potential use cases such as: a user-friendly adaptive design of an interface or the development of assistance systems in safety critical workplaces.
URI: https://depositonce.tu-berlin.de//handle/11303/7116
http://dx.doi.org/10.14279/depositonce-6419
Issue Date: 2017
Date Available: 10-Nov-2017
DDC Class: DDC::000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik
Subject(s): encephalography (EEG)
event-related potentials (ERPs)
oscillatory activity
cognitive processes
single-trial classification
Sponsor/Funder: DFG, TH 662/19-1, Open Access Publizieren 2017 - 2018 / Technische Universität Berlin
Creative Commons License: https://creativecommons.org/licenses/by/4.0/
Journal Title: Frontiers in Neuroscience
Publisher: Frontiers Research Foundation
Publisher Place: Lausanne
Volume: 11
Article Number: 548
Publisher DOI: 10.3389/fnins.2017.00548
ISSN: 1662-453X
Appears in Collections:Fachgebiet Neurotechnologie » Publications

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