Authors:
Mehdi Karamnejad
;
Diane Gromala
;
Amber Choo
;
Chris Shaw
and
Xin Tong
Affiliation:
Simon Fraser University, Canada
Keyword(s):
Brain-Computer Interface, Biofeedback, Neurofeedback, Attention, Ambient Displays, Interface Design, Human-Computer Interaction.
Related
Ontology
Subjects/Areas/Topics:
Affective Computing
;
Applications
;
Assistive Technologies
;
Biofeedback Technologies
;
Biomedical Engineering
;
Biomedical Instruments and Devices
;
Biomedical Signal Processing
;
Brain-Computer Interfaces
;
Collaboration and e-Services
;
Devices
;
e-Business
;
Enterprise Information Systems
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Health Monitoring Devices
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Observation, Modeling and Prediction of User Behavior
;
Pattern Recognition
;
Physiological Computing Systems
;
Software Engineering
;
Usability
;
Usability and Ergonomics
;
Wearable Sensors and Systems
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
Abstract:
The assumptions underlying differing approaches to interface design result, in part, on how attention is managed and categorized using theories from media studies. The authors propose the term intraface to refer to biofeedback or other interfaces that are designed to support users who direct their attention inward to inner physiological states. In this paper, the role of representing feedback data in abstract forms is compared in an experiment using Neurosky’s neurofeedback device. Although preliminary, the results suggest that mapping biofeedback data from a brain-computer interface (BCI) to highly abstract ambient animations is more effective for relaxation than mapping it to a highly familiar symbolic smiley face icon or to a progress bar. The authors propose that the relative success of the abstract ambient animation can be explained because this representation of biofeedback data is the form that requires the least amount of attention, and that designing biofeedback interfaces t
hat distribute the attention, supports the need of users to the task of directing most of their attention to their inner physiological states.
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