Analysis of user Interaction with a brain-computer interface based on steady-state visually evoked potentials : case study of a game.
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2018
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Abstract
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.
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LEITE, H. M. de A. 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, v. 2018, p. 1-10, 2018. Disponível em: <https://www.hindawi.com/journals/cin/2018/4920132/>. Acesso em: 15 fev. 2019.