Method for Selecting an Engagement Index for a Specific Type of Game Using Cognitive Neuroscience
Joint Authors
Borawski, Mariusz
Biercewicz, Konrad
Duda, Jarosław
Source
International Journal of Computer Games Technology
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-08-18
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Information Technology and Computer Science
Abstract EN
The popularity of video games means that methods are needed to assess their content in terms of player satisfaction right from the production stage.
For this purpose, the indicators used in EEG studies can be used.
This publication presents a method that has been developed to determine whether a person likes an arcade game.
To this end, six different indicators to measure consumer involvement in a video game using the EEG were compared, among others.
The study was conducted using several different games created in Unity based on the observation (n=31) of the respondents.
EEG has been used to select the most suitable indices studied.
American Psychological Association (APA)
Biercewicz, Konrad& Borawski, Mariusz& Duda, Jarosław. 2020. Method for Selecting an Engagement Index for a Specific Type of Game Using Cognitive Neuroscience. International Journal of Computer Games Technology،Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1169454
Modern Language Association (MLA)
Biercewicz, Konrad…[et al.]. Method for Selecting an Engagement Index for a Specific Type of Game Using Cognitive Neuroscience. International Journal of Computer Games Technology No. 2020 (2020), pp.1-19.
https://search.emarefa.net/detail/BIM-1169454
American Medical Association (AMA)
Biercewicz, Konrad& Borawski, Mariusz& Duda, Jarosław. Method for Selecting an Engagement Index for a Specific Type of Game Using Cognitive Neuroscience. International Journal of Computer Games Technology. 2020. Vol. 2020, no. 2020, pp.1-19.
https://search.emarefa.net/detail/BIM-1169454
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169454