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EEG correlates of video game experience and user profile in motor-imagery-based brain–computer interaction

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F17%3A00096343" target="_blank" >RIV/00216224:14330/17:00096343 - isvavai.cz</a>

  • Výsledek na webu

    <a href="http://link.springer.com/article/10.1007/s00371-016-1304-2?no-access=true" target="_blank" >http://link.springer.com/article/10.1007/s00371-016-1304-2?no-access=true</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00371-016-1304-2" target="_blank" >10.1007/s00371-016-1304-2</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    EEG correlates of video game experience and user profile in motor-imagery-based brain–computer interaction

  • Popis výsledku v původním jazyce

    Through the use of brain–computer interfaces (BCIs), neurogames have become increasingly more advanced by incorporating immersive virtual environments and 3D worlds. However, training both the user and the system requires long and repetitive trials resulting in fatigue and low performance. Moreover, many users are unable to voluntarily modulate the amplitude of their brain activity to control the neurofeedback loop. In this study, we are focusing on the effect that gaming experience has in brain activity modulation as an attempt to systematically identify the elements that contribute to high BCI control and to be utilized in neurogame design. Based on the current literature, we argue that experienced gamers could have better performance in BCI training due to enhanced sensorimotor learning derived from gaming. To investigate this, two experimental studies were conducted with 20 participants overall, undergoing 3 BCI sessions, resulting in 88 EEG datasets. Results indicate (a) an effect from both demographic and gaming experience data to the activity patterns of EEG rhythms, and (b) increased gaming experience might not increase significantly performance, but it could provide faster learning for ‘Hardcore’ gamers.

  • Název v anglickém jazyce

    EEG correlates of video game experience and user profile in motor-imagery-based brain–computer interaction

  • Popis výsledku anglicky

    Through the use of brain–computer interfaces (BCIs), neurogames have become increasingly more advanced by incorporating immersive virtual environments and 3D worlds. However, training both the user and the system requires long and repetitive trials resulting in fatigue and low performance. Moreover, many users are unable to voluntarily modulate the amplitude of their brain activity to control the neurofeedback loop. In this study, we are focusing on the effect that gaming experience has in brain activity modulation as an attempt to systematically identify the elements that contribute to high BCI control and to be utilized in neurogame design. Based on the current literature, we argue that experienced gamers could have better performance in BCI training due to enhanced sensorimotor learning derived from gaming. To investigate this, two experimental studies were conducted with 20 participants overall, undergoing 3 BCI sessions, resulting in 88 EEG datasets. Results indicate (a) an effect from both demographic and gaming experience data to the activity patterns of EEG rhythms, and (b) increased gaming experience might not increase significantly performance, but it could provide faster learning for ‘Hardcore’ gamers.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Návaznosti výsledku

  • Projekt

  • Návaznosti

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Ostatní

  • Rok uplatnění

    2017

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    The Visual Computer

  • ISSN

    0178-2789

  • e-ISSN

  • Svazek periodika

    33

  • Číslo periodika v rámci svazku

    4

  • Stát vydavatele periodika

    DE - Spolková republika Německo

  • Počet stran výsledku

    14

  • Strana od-do

    533-546

  • Kód UT WoS článku

    000398767100010

  • EID výsledku v databázi Scopus

    2-s2.0-84982255203