Assessing the Learning of Folk Dance Movements Using Immersive
Virtual Reality

D 2020

Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality

KICO, Iris, David ZELNÍČEK and Fotios LIAROKAPIS

Basic information

Original name

Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality

Authors

KICO, Iris (70 Bosnia and Herzegovina, guarantor, belonging to the institution), David ZELNÍČEK (203 Czech Republic, belonging to the institution) and Fotios LIAROKAPIS (300 Greece)

Edition

Melbourne, 2020 24th International Conference on Information Visualisation (IV), p. 587-592, 6 pp. 2020

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/20:00114408

Organization unit

Faculty of Informatics

ISBN

978-1-7281-9134-8

DOI

http://dx.doi.org/10.1109/IV51561.2020.00100

UT WoS

000712013300089

Keywords in English

virtual reality; folk dances; cultural heritage; motion capture; learning

Abstract

V originále

Digital technologies can help with preservation of cultural heritage and virtual reality can be used for that purpose. In this paper, a virtual reality application that has the potential of assisting the learning process of folk dances is introduced. This application includes three different assisting approaches that are presented and evaluated with 30 healthy participants. An animated avatar of the professional dancer is shown in immersive virtual reality and participants were asked to imitate the movements in order to learn the dance. Movements were recorded using a passive optical motion capture system and afterwards compared to the recordings from the professional dancers. Questionnaire data were also collected and initial results indicate that participants that had feedback provided achieved better performance.

Links

GA19-02033S, research and development project

Name: Vyhledávání, analytika a anotace datových toků lidských pohybů

Investor: Czech Science Foundation

691218, interní kód MU

Name: Transforming Intangible Folkloric Performing Arts into Tangible Choreographic Digital (Acronym: Terpsichore)

Investor: European Union, MSCA Marie Skłodowska-Curie Actions (Excellent Science)

Citovat

KICO, Iris, David ZELNÍČEK and Fotios LIAROKAPIS. Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality. Online. In Juan Guerrero. 2020 24th International Conference on Information Visualisation (IV). Melbourne: IEEE, 2020, p. 587-592. ISBN 978-1-7281-9134-8. Available from: https://dx.doi.org/10.1109/IV51561.2020.00100.

@inproceedings{1687739,
   author = {Kico, Iris and Zelníček, David and Liarokapis, Fotios},
   address = {Melbourne},
   booktitle = {2020 24th International Conference on Information Visualisation (IV)},
   doi = {http://dx.doi.org/10.1109/IV51561.2020.00100},
   editor = {Juan Guerrero},
   keywords = {virtual reality; folk dances; cultural heritage; motion capture; learning},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Melbourne},
   isbn = {978-1-7281-9134-8},
   pages = {587-592},
   publisher = {IEEE},
   title = {Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality},
   year = {2020}
}

TY  - JOUR
ID  - 1687739
AU  - Kico, Iris - Zelníček, David - Liarokapis, Fotios
PY  - 2020
TI  - Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality
PB  - IEEE
CY  - Melbourne
SN  - 9781728191348
KW  - virtual reality
KW  - folk dances
KW  - cultural heritage
KW  - motion capture
KW  - learning
N2  - Digital technologies can help with preservation of cultural heritage and virtual reality can be used for that purpose. In this paper, a virtual reality application that has the potential of assisting the learning process of folk dances is introduced. This application includes three different assisting approaches that are presented and evaluated with 30 healthy participants. An animated avatar of the professional dancer is shown in immersive virtual reality and participants were asked to imitate the movements in order to learn the dance. Movements were recorded using a passive optical motion capture system and afterwards compared to the recordings from the professional dancers. Questionnaire data were also collected and initial results indicate that participants that had feedback provided achieved better performance.
ER  -

KICO, Iris, David ZELNÍČEK and Fotios LIAROKAPIS. Assessing the Learning of Folk Dance Movements Using Immersive Virtual Reality. Online. In Juan Guerrero. \textit{2020 24th International Conference on Information Visualisation (IV)}. Melbourne: IEEE, 2020, p.~587-592. ISBN~978-1-7281-9134-8. Available from: https://dx.doi.org/10.1109/IV51561.2020.00100.

Detailed Information on Publication Record