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Neurophysiological methods for monitoring brain activity in serious games and virtual environments: a review

TLDR
The opportunities offered and challenges posed by neuroscientific methods when capturing user feedback and using the data to create greater user adaptivity in game are explored.
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.

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MURDOCH RESEARCH REPOSITORY
This is the author’s final version of the work, as accepted for publication
following peer review but without the publisher’s layout or pagination.
http://dx.doi.org/10.1504/IJTEL.2014.060022
Ninaus, M., Kober, S.E., Friedrich, E.V.C., Dunwell, I., de Freitas,
S., Arnab, S., Ott, M., Kravcik, M., Lim, T., Louchart, S., Bellotti,
F., Hannemann, A., Thin, A.G., Berta, R., Wood, G. and Neuper,
C. (2014) Neurophysiological methods for monitoring brain
activity in serious games and virtual environments: a review.
International Journal of Technology Enhanced Learning,
6 (1). pp. 78-103.
http://researchrepository.murdoch.edu.au/25902/
© 2013 British Educational Research Association.
It is posted here for your personal use. No further distribution is permitted.

Neurophysiological methods for monitoring brain activity in serious games and virtual
environments: A review.
Authors: Manuel Ninaus, Silvia Erika Kober, Elisabeth V.C. Friedrich, Ian Dunwell, Sara de
Freitas, Sylvester Arnab, Michela Ott, Milos Kravcik, Theodore Lim, Sandy Louchart,
Francesco Bellotti, Anna Hannemann, Alasdair G. Thin, Riccardo Berta, Guilherme Wood,
Christa Neuper
Manuel Ninaus:
M.Sc., PhD-Student
Department of Psychology, Section Neuropsychology
University of Graz
Universitätsplatz 2/III
8010 Graz
Austria
manuel.ninaus@uni-graz.at
Manuel Ninaus is Research Assistant and PhD-candidate at the Department of Psychology (Section
Neuropsychology) at the University of Graz, Austria. He received his MSc in Psychology from
University of Graz, Austria in 2012. Since 2010 he works as Research Assistant at the Department of
Psychology and at the University of Graz and is involved in national and international scientific
projects. He is currently involved in the EU GALA Network of Excellence (www.galanoe.eu). His
research topics are neuronal plasticity through learning, EEG-based neurofeedback and auditory
mirror neurons. Furthermore Manuel Ninaus has many years of experience with different
neurophysiological methods such as EEG, NIRS and fMRI.
Silvia Erika Kober:
Dr., Postdoctoral researcher
Department of Psychology, Section Neuropsychology
University of Graz
Universitätsplatz 2/III
8010 Graz
Austria
silvia.kober@uni-graz.at
Silvia Erika Kober is a postdoctoral researcher at the Department of Psychology (Section
Neuropsychology) at the University of Graz, Austria. Born in Graz, Austria, she received her MSc in
Psychology from University of Graz, Austria in 2009 and obtained the Ph.D. degree from the
University of Graz, Austria in 2012. Since 2007 she works as Research Assistant at the Department of
Psychology (Section Neuropsychology) at the University of Graz and is involved in national and
international scientific projects. Her research topics are EEG/NIRS-based brain-computer
communication and neurofeedback, interacting in virtual realities, virtual reality as rehabilitation tool
and spatial cognition.
Elisabeth V.C. Friedrich:
Dr., Postdoctoral researcher
Department of Psychology, Section Neuropsychology

University of Graz
Universitätsplatz 2/III
8010 Graz
Austria
elisabeth.friedrich@uni-graz.at
Elisabeth V.C. Friedrich studied Psychology at the University of Graz, Austria, and conducted her
master thesis at the Laboratory of Neural Injury and Repair, Wadsworth Center, Albany, NY. She has
received her doctorate in natural science in 2012 at the University of Graz, Austria. Her main research
interest is brain-computer interface (BCI). She explored different mental tasks to control an EEG-
based BCI, the impact of distraction on user performance as well as improvements of BCI usability
for severely motor impaired individuals. She is currently involved in the EU GALA Network of
Excellence (www.galanoe.eu).
Ian Dunwell:
Dr., Postdoctoral researcher
The Serious Games Institute
Coventry University Technology Park
Innovation Village
Cheetah Road
Coventry
CV1 2TL
United Kingdom
IDunwell@cad.coventry.ac.uk
Ian Dunwell is a senior researcher at the Serious Games Institute. He holds a BSc in Physics from
Imperial College London and a PhD in Computer Science from the University of Hull. He has
responsibility for a wide portfolio of health-related Serious Game research and development projects.
He is also the Technical Lead for the Applied Research Group.
Sara de Freitas:
Prof., Director of Research at the Serious Games Institute
The Serious Games Institute
Coventry University Technology Park
Innovation Village
Cheetah Road
Coventry
CV1 2TL
United Kingdom
s.defreitas@coventry.ac.uk
Sara de Freitas is director of research at the Serious Games Institute, Professor of Virtual
Environments and Fellow of the Royal Society of Arts. Sara leads the applied research team at the
Serious Games Institute and the Serious Games and Virtual Worlds Applied Research Group at
Coventry University.
Sylvester Arnab:
Senior researcher, PhD
The Serious Games Institute
Coventry University Technology Park
Innovation Village

Cheetah Road
Coventry
CV1 2TL
United Kingdom
s.arnab@coventry.ac.uk
Sylvester Arnab is a senior researcher at the SGI. He holds a doctorate from The University of
Warwick and he is coordinating the SGI's contribution to the EU Funded Games and Learning
Alliance (GALA).
Michela Ott:
Dr., Researcher
Istituto Tecnologie Didattiche (ITD)
Consiglio Nazionale delle Ricerche (CNR)
Via De Marini, 6
16149 Genova
Italy
ott@itd.cnr.it
Michela Ott is a senior researcher at the Institute for Educational Technology of Italian National
Research Council. She carries out research in the fields of: cognitive processes underpinning learning,
educational use of software tools (with a special focus on Serious Games), special education, e-
inclusion, learning design, distance education. She is the author of more than 150 scientific
publications. She is also the author of educational software packages and hypermedia systems. She
has participated in, led and coordinated a number of national and international research projects in the
field of Educational Technology. At present she is the coordinator of the MAGICAL (MAking Games
in CollaborAtion for Learning- KA3 LLP project), is involved in the eSG LLP project (Stimulating
Entrepreneurship through Serious games-Erasmus FEXI) and in three European networks: GaLA
(Game and Learning Alliance); V-MuST.net (Virtual Museum Transnational Network) and ETNA
(European Thematic Network on Assistive Information and Communication Technologies).
Milos Kravcik:
Dr., Research Associate
Informatik 5 Information Systems
RWTH Aachen University
Ahornstr. 55
52056 Aachen
Germany
kravcik@dbis.rwth-aachen.de
Milos Kravcik has a diploma degree in computer science and a doctoral degree in applied informatics
from the Comenius University in Slovakia. He has been dealing with Technology Enhanced Learning
(TEL) since 1988 in various national and international projects, later also at the Fraunhofer Institute
for Applied Information Technology in Germany and at the Open University in the Netherlands.
Since 2010 he works as a Research Fellow at the RWTH Aachen University and his main research
interests include personalized learning environments and self-regulated learning. He co-organized
several TEL doctoral schools and serves also as executive peer-reviewer or editorial board member
for several journals related to learning technologies.
Theodore Lim:

Dr., Lecturer
School of Engineering & Physical Sciences; Mechanical Engineering
NS G.04, Heriot-Watt University
Edinburgh
EH14 4AS
United Kingdom
t.lim@hw.ac.uk
Theodore Lim is an active member within the Digital Tools Group; part of the EPSRC-funded
Innovative Manufacturing Research Centre (IMRC) at Heriot-Watt University (www.smi.hw.ac.uk).
As both an academic and researcher with considerable industrial experience, he has been instrumental
in the research, analysis and development of virtual engineering environments in a variety of product
engineering domains and now focuses his work on the acquisition of engineering knowledge
information management systems within all aspect of product engineering; with a particular emphasis
on conceptual design. He has also implemented game-based learning methods in design and
manufacturing taught courses. With over 40 international publications, a book and the successful
commercialisation of his novel feature recognition algorithms, he is now applying his knowledge and
expertise to the domain of serious games, game ware and computational biometrics for next
generation engineering applications.
Sandy Louchart:
Dr, Lecturer
School of Mathematical & Computer Sciences; Computer Science
EM1.38, Heriot-Watt University
Edinburgh
EH14 4AS
United Kingdom
s.louchart@hw.ac.uk
Sandy Louchart is a lecturer in Human Computer Interaction and Interaction Design in the School of
Mathematical and Computer Sciences (MACS) at Heriot-Watt University. His PhD, awarded by the
University of Salford in 2007, explored the domain of Interactive Storytelling (IS) via the
development of the Emergent Narrative concept. The work was conducted in the domains of Artificial
Intelligence, Synthetic Characters and Interactive Narratives and involved the design of Autonomous
Synthetic Characters and their affect-based action/selection mechanisms to simulate characterisation
within an interactive drama scenario. The research led to the development of a novel approach to
Synthetic Character action/selection mechanisms featuring projection-based affective planning so as
to select dramatically intense actions and events for interaction; the Double Appraisal action/selection
mechanism. His work has been published internationally in Intelligent Agents, Virtual Reality, Game
and Interactive Storytelling Journals and Conferences.
Francesco Bellotti:
Assistant Professor, Dr.
ELIOS Lab; Department of Naval, Electrical, Electronic and Telecommunications Engineering
(DITEN)
University of Genoa
Via Opera Pia 11a
16145 Genova
Italy
franz@elios.unige.it

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Related Papers (5)
Frequently Asked Questions (18)
Q1. What are the contributions in this paper?

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. In contrast, they often have disparate research questions and are represented through a broad range of study designs and game genres. In this article, the range of studies and applications of neuroscientific methods in gamebased learning are reviewed. 

Their ambition is to extend the scope of how neurofeedback is currently used in games, as real time data that can be used to support scaffolded learning and also to allow us to understand more about how game play supports effective learning. Future work will therefore focus upon user studies where simple and complex learning activities are tested using neurophysiological correlates according to direct task performance with different neurophysiological methods. However, the authors strongly argue that it is hard time to study a rigorous, generalizable method for capturing neuroscientific user data from a player and store it in a real-time executable user model, also extending existing models of feedback ( e. g. Dunwell, de Freitas, and Jarvis, 2011 ). Further future research will focus on testing how feedback can be used in real time to make the learner experience more coherent and immersive, as well as recording levels of presence and engagement. 

The main lesson for serious game design here is that feedback to the learner needs to be formative in games and that multisensory environment can be more effective as a design strategy for effective learning with games. 

A particular challenge to neurophysiological measurements is confirming their measured outputs provide true proxies for learning efficacy. 

Within the EU-founded Network of Excellence for Serious Games (GALA, www.galanoe.eu), she works on serious gaming in context of neuroscience, community nurturing and interactive storytelling. 

Study designs under such a paradigm should focus on defining and understanding expertise at a task established through an understanding of the prior knowledge or measured performance of subjects. 

fNIRS applications in game-based learning: Many game studies used fNIRS to examine haemodynamic changes in frontal brain areas during playing video games. 

Baumgartner and colleagues (2006) and Kober, Kurzmann and Neuper (2012) concluded that parietal brain areas might play an important role in the presence experience because these areas are involved in generating an egocentric (body-centred) representation of space (Maguire et al., 1998; Maguire, Burgess and O’Keefe, 1999). 

He is in the coordinating team of Games and Learning Alliance (GaLA), the FP7 Network of Excellence on serious games within technology enhanced learning, and of eSG, an Erasmus Lifelong Learning project aimed at promoting entrepreneurship in higher education through serious games. 

Serious games can form a particularly effective basis for this, as game design lends itself easily to the definition and assessment of simple cognitive tasks, as well as their deployment in an experimental context, with a wide range of user performance data collection. 

The information gained from fMRI can be used, for example, to improve the effectiveness of serious games or how games affect the player’s brain. 

In the context of using neuroscientific methods to enhance game adaptivity to the user, again the high temporal resolution of EEG is the most advantageous, since there is no time delay when the electrical activity of the brain is fed back to the gamer in real time during interacting with a game. 

By theory-based analysing the subjects’ task with psychometric methods, it is possible to identify what cognitive processes or factors are involved in one specific task. 

Different neurophysiological methods can be used for monitoring and assessing cognitive processes in serious games and virtual environments. 

fNIRS allows for the recording of changes in the BOLD response with a much higher temporal resolution than fMRI but at the costs of lower spatial resolution and no sensitivity to haemodynamic activity in deep brain regions. 

An inverted U-type relationship where oxygenation levels increased with increasing task difficulty until it became too difficult and then they started to decline was observed. 

The authors thus argue that effective study design for serious games should avoid such dilemmas by focussing specifically on direct task performance as a correlate of device measurements. 

Generalizing these assertions, however, is challenging, given the task-specificity of many studies, and the complexity of the underlying physiological system.