JOURNAL ARTICLE

Goal selection versus process control while learning to use a brain–computer interface

Audrey S RoyerMinn L. RoseBin He

Year: 2011 Journal:   Journal of Neural Engineering Vol: 8 (3)Pages: 036012-036012   Publisher: IOP Publishing

Abstract

A brain-computer interface (BCI) can be used to accomplish a task without requiring motor output. Two major control strategies used by BCIs during task completion are process control and goal selection. In process control, the user exerts continuous control and independently executes the given task. In goal selection, the user communicates their goal to the BCI and then receives assistance executing the task. A previous study has shown that goal selection is more accurate and faster in use. An unanswered question is, which control strategy is easier to learn? This study directly compares goal selection and process control while learning to use a sensorimotor rhythm-based BCI. Twenty young healthy human subjects were randomly assigned either to a goal selection or a process control-based paradigm for eight sessions. At the end of the study, the best user from each paradigm completed two additional sessions using all paradigms randomly mixed. The results of this study were that goal selection required a shorter training period for increased speed, accuracy, and information transfer over process control. These results held for the best subjects as well as in the general subject population. The demonstrated characteristics of goal selection make it a promising option to increase the utility of BCIs intended for both disabled and able-bodied users.

Keywords:
Brain–computer interface Task (project management) Computer science Selection (genetic algorithm) Process (computing) Interface (matter) Control (management) Human–computer interaction Artificial intelligence Machine learning Electroencephalography Psychology Engineering

Metrics

22
Cited By
2.29
FWCI (Field Weighted Citation Impact)
38
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

EEG and Brain-Computer Interfaces
Life Sciences →  Neuroscience →  Cognitive Neuroscience
Neuroscience and Neural Engineering
Life Sciences →  Neuroscience →  Cellular and Molecular Neuroscience
Neural and Behavioral Psychology Studies
Life Sciences →  Neuroscience →  Cognitive Neuroscience
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