Evidence map›Paper›PMID 29849549›Full record

ArticleComputational intelligence and neuroscience2018

Analysis of User Interaction with a Brain-Computer Interface Based on Steady-State Visually Evoked Potentials: Case Study of a Game.

Harlei Miguel de Arruda Leite, Sarah Negreiros de Carvalho, Thiago Bulhões da Silva Costa, Romis Attux, Heiko Horst Hornung, Dalton Soares Arantes

Abstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Harlei Miguel de Arruda LeiteSchool of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas, SP, Brazil.ORCID 0000-0001-9467-2120
Sarah Negreiros de CarvalhoInstitute of Exact and Applied Sciences, Federal University of Ouro Preto (UFOP), João Monlevade, MG, Brazil.
Thiago Bulhões da Silva CostaSchool of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas, SP, Brazil.
Romis AttuxSchool of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas, SP, Brazil.
Heiko Horst HornungInstitute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil.
Dalton Soares ArantesSchool of Electrical and Computer Engineering, University of Campinas (UNICAMP), Campinas, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Brain-Computer InterfacesElectroencephalographyEvoked Potentials, VisualVideo GamesAdultAuditory PerceptionBrainFatigueFeedback, PsychologicalFemaleGames, ExperimentalHumansMaleMiddle AgedMusicSignal Processing, Computer-Assisted

Identifiers

PMID29849549
PMCPMC5925143

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.