![](/images/graphics-bg.png)
Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game
Joint Authors
Leite, Harlei Miguel de Arruda
Carvalho, Sarah Negreiros de
Costa, Thiago Bulhões da Silva
Attux, Romis
Hornung, Heiko Horst
Arantes, Dalton Soares
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-15
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper presents a systematic analysis of a game controlled by a Brain-Computer Interface (BCI) based on Steady-State Visually Evoked Potentials (SSVEP).
The objective is to understand BCI systems from the Human-Computer Interface (HCI) point of view, by observing how the users interact with the game and evaluating how the interface elements influence the system performance.
The interactions of 30 volunteers with our computer game, named “Get Coins,” through a BCI based on SSVEP, have generated a database of brain signals and the corresponding responses to a questionnaire about various perceptual parameters, such as visual stimulation, acoustic feedback, background music, visual contrast, and visual fatigue.
Each one of the volunteers played one match using the keyboard and four matches using the BCI, for comparison.
In all matches using the BCI, the volunteers achieved the goals of the game.
Eight of them achieved a perfect score in at least one of the four matches, showing the feasibility of the direct communication between the brain and the computer.
Despite this successful experiment, adaptations and improvements should be implemented to make this innovative technology accessible to the end user.
American Psychological Association (APA)
Leite, Harlei Miguel de Arruda& Carvalho, Sarah Negreiros de& Costa, Thiago Bulhões da Silva& Attux, Romis& Hornung, Heiko Horst& Arantes, Dalton Soares. 2018. Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game. Computational Intelligence and Neuroscience،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130751
Modern Language Association (MLA)
Leite, Harlei Miguel de Arruda…[et al.]. Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game. Computational Intelligence and Neuroscience No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1130751
American Medical Association (AMA)
Leite, Harlei Miguel de Arruda& Carvalho, Sarah Negreiros de& Costa, Thiago Bulhões da Silva& Attux, Romis& Hornung, Heiko Horst& Arantes, Dalton Soares. Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game. Computational Intelligence and Neuroscience. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1130751
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130751