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Applications of Biological and Physiological Signals in Commercial Video Gaming and Game Research: A Review
- Source :
- Frontiers in Computer Science, Vol 3 (2021)
- Publication Year :
- 2021
- Publisher :
- Frontiers Media SA, 2021.
-
Abstract
- Video gaming is now available as a fully immersive experience that creates responsive inputs and outputs concerning the user, and some experimental developers have integrated the use of the voice, brain, or muscles as input controls. The use of physiological signal equipment can provide valuable information regarding the emotion of a player or patient during gameplay. In this article, we discuss five of the most common biosignals that are used in gaming research, and their function and devices that may be used for measurement. We break down those individual signals and present examples of research studies that implement them. We also discuss the usage of biological signals within commercial gaming and conclude with some possible future directions for the use of biological signals in gaming and game research. This research has been partially supported by the project Musical AI - PID2019-111403GB-I00/AEI/10.13039/501100011033 funded by the Spanish Ministerio de Ciencia, Innovación y Universidades (MCIU) and the Agencia Estatal de Investigación (AEI).
- Subjects :
- biofeedback
Video gaming
Relation (database)
Computer science
02 engineering and technology
eye tracking
01 natural sciences
Field (computer science)
EMG
Human–computer interaction
0202 electrical engineering, electronic engineering, information engineering
EEG
Video game
General Environmental Science
ECG
010401 analytical chemistry
General Engineering
ComputingMilieux_PERSONALCOMPUTING
video games
020206 networking & telecommunications
QA75.5-76.95
Game research
0104 chemical sciences
Interaction information
Electronic computers. Computer science
Stress control
General Earth and Planetary Sciences
Eye tracking
Subjects
Details
- ISSN :
- 26249898
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- Frontiers in Computer Science
- Accession number :
- edsair.doi.dedup.....088e6a40a37a1b6a31f54631987a321e
- Full Text :
- https://doi.org/10.3389/fcomp.2021.557608