Method for Selecting an Engagement Index for a Specific Type of Game Using Cognitive Neuroscience

Author:

Biercewicz Konrad1ORCID,Borawski Mariusz1,Duda Jarosław2

Affiliation:

1. Department of Multimedia Systems, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology Szczecin, Żołnierska 49, 71-210 Szczecin, Poland

2. Maritime University of Szczecin, Dean of Marine Engineering Faculty, Institute of Marine Electrical Engineering and Vessel Automation Department of Automation and Robotics, Wały Chrobrego 1-2, 70-500 Szczecin, Poland

Abstract

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.

Publisher

Hindawi Limited

Subject

Computer Graphics and Computer-Aided Design,Human-Computer Interaction,Software

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