Information and memory-based analysis for decoding of the human learning between normal and virtual reality (vr) conditions

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F21%3A50018049" target="_blank" >RIV/62690094:18450/21:50018049 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.worldscientific.com/doi/abs/10.1142/S0218348X21501632" target="_blank" >https://www.worldscientific.com/doi/abs/10.1142/S0218348X21501632</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1142/S0218348X21501632" target="_blank" >10.1142/S0218348X21501632</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Information and memory-based analysis for decoding of the human learning between normal and virtual reality (vr) conditions

Popis výsledku v původním jazyce

In this paper, we investigated the learning ability of students in normal versus virtual reality (VR) watching of videos by mathematical analysis of electroencephalogram (EEG) signals. We played six videos in the 2D and 3D modes for nine subjects and calculated the Shannon entropy of recorded EEG signals to investigate how much their embedded information changes between these modes. We also calculated the Hurst exponent of EEG signals to compare the changes in the memory of signals. The analysis results showed that watching the videos in a VR condition causes greater information and memory in EEG signals. A strong correlation was obtained between the increment of information and memory of EEG signals. These increments also have been verified based on the answers that subjects gave to the questions about the content of videos. Therefore, we can say that when subjects watch a video in a VR condition, more information is transferred to their brains that cause increments in their memory. © 2021 Cambridge University Press. All rights reserved.

Název v anglickém jazyce

Information and memory-based analysis for decoding of the human learning between normal and virtual reality (vr) conditions

Popis výsledku anglicky

In this paper, we investigated the learning ability of students in normal versus virtual reality (VR) watching of videos by mathematical analysis of electroencephalogram (EEG) signals. We played six videos in the 2D and 3D modes for nine subjects and calculated the Shannon entropy of recorded EEG signals to investigate how much their embedded information changes between these modes. We also calculated the Hurst exponent of EEG signals to compare the changes in the memory of signals. The analysis results showed that watching the videos in a VR condition causes greater information and memory in EEG signals. A strong correlation was obtained between the increment of information and memory of EEG signals. These increments also have been verified based on the answers that subjects gave to the questions about the content of videos. Therefore, we can say that when subjects watch a video in a VR condition, more information is transferred to their brains that cause increments in their memory. © 2021 Cambridge University Press. All rights reserved.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2021

Kód důvěrnosti údajů

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

Název periodika

Fractals

ISSN

0218-348X

e-ISSN

—

Svazek periodika

29

Číslo periodika v rámci svazku

3

Stát vydavatele periodika

SG - Singapurská republika

Počet stran výsledku

8

Strana od-do

"Article number 2150163"

Kód UT WoS článku

000644726400009

EID výsledku v databázi Scopus

2-s2.0-85104956415