Title
Brain-Based Indices for User System Symbiosis
Author
van Erp, J.B.F.
Veltman, J.A.
Grootjen, M.
TNO Defensie en Veiligheid
Contributor
Tan, D.S. (editor)
Nijholt, A. (editor)
Publication year
2010
Abstract
The future generation user system interfaces need to be user-centric which goes beyond user-friendly and includes understanding and anticipating user intentions. We introduce the concept of operator models, their role in implementing user-system symbiosis, and the usefulness of brain-based indices on for instance effort, vigilance, workload and engagement to continuously update the operator model. Currently, the best understood parameters in the operator model are vigilance and workload. An overview of the currently employed brain-based indices showed that indices for the lower workload levels (often based on power in the alpha and theta band of the EEG) are quite reliable, but good indices for the higher workload spectrum are still missing. We argue that this is due to the complex situation when performance stays optimal despite increasing task demands because the operator invests more effort. We introduce a model based on perceptual control theory that provides insight into what happens in this situations and how this affects physiological and brain-based indices.We argue that a symbiotic system only needs to intervene directly in situations of under and overload, but not in a high workload situation. Here, the system must leave the option to adapt on a short notice exclusively to the operator. The system should lower task demands only in the long run to reduce the risk of fatigue or long recovery times. We end by indicating future operator model parameters that can be reflected by brain-based indices.
Subject
User interfaces
Brain-computer interface
Brain-machine interface
Cognition
Neuroscience
Perception
EEG
BCI
EEG
NIRS
Augmented cognition
Workload
Adaptive interfaces
human-computer interaction
man-machine interaction
EEG
human factors
To reference this document use:
http://resolver.tudelft.nl/uuid:1b5fde7d-0d05-445e-9dfe-abf88de4cfa1
DOI
https://doi.org/10.1007/978-1-84996-272-8_12
TNO identifier
364468
ISBN
9781849962728
Source
Brain-Computer Interfaces : Applying our Minds to Human-Computer Interaction, 201-220
Series
Human-Computer Interaction Series
Document type
bookPart