Neurophysiological methods for monitoring brain activity in serious games and virtual environments: a review. (1st January 2014)

• Record Type: Journal Article
• Authors: Ninaus, Manuel; Kober, Silvia Erika; Friedrich, Elisabeth V.C.; Dunwell, Ian; de Freitas, Sara; Arnab, Sylvester; Ott, Michela; Kravcik, Milos; Lim, Theodore; Louchart, Sandy; Bellotti, Francesco; Hannemann, Anna; Thin, Alasdair G.; Berta, Riccardo; Wood, Guilherme; Neuper, Christa
• Is Part Of: International journal of technology enhanced learning. Volume 6:Number 1(2014)
• Page Start: 78
• Page End: 103
• Publication Date: 2014-01-01
• Subjects: neurophysiological methods -- brain -- serious games -- games -- virtual environments -- virtual reality -- NIRS -- near infrared spectroscopy -- EEG -- electroencephalography -- fMRI -- functional magnetic resonance imaging -- neuroscience -- learning -- game-based learning; Educational technology -- Periodicals; Education -- Effect of technological innovations on -- Periodicals; Web-based instruction -- Periodicals; Computer-assisted instruction -- Periodicals; 371.3305
• Languages: English
• ISSNs: 1753-5255

Abstract

The use of serious games and virtual environments for learning is increasing worldwide. These technologies have the potential to collect live data from users through game play and can be combined with neuroscientific methods such as EEG, fNIRS and fMRI. The several learning processes triggered by serious games are associated with specific patterns of activation that distributed in time and space over different neural networks. This paper explores the opportunities offered and challenges posed by neuroscientific methods when capturing user feedback and using the data to create greater user adaptivity in game. Existing neuroscientific studies examining cortical correlates of game-based learning do not form a common or homogenous field. In contrast, they often have disparate research questions and are represented through a broad range of study designs and game genres. In this paper, the range of studies and applications of neuroscientific methods in game-based learning are reviewed.