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