Measuring Immersion and Affect in a Brain-Computer Interface Game

Brain-computer interfaces (BCIs) have widely been used in medical applications, to facilitate making selections. However, whether they are suitable for recreational applications is unclear as they have rarely been evaluated for user experience. As the scope of the BCI applications is expanding from medical to recreational use, the expectations of BCIs are also changing. Although the performance of BCIs is still important, finding suitable BCI modalities and investigating their influence on user experience demand more and more attention. In this study a BCI selection method and a comparable non-BCI selection method were integrated into a computer game to evaluate user experience in terms of immersion and affect. An experiment with seventeen participants showed that the BCI selection method was more immersive and positively affective than the non-BCI selection method. Participants also seemed to be more indulgent towards the BCI selection method.

[1]  Gido Hakvoort,et al.  Comparison of PSDA and CCA detection methods in a SSVEP-based BCI-system , 2011 .

[2]  Donald A. Norman,et al.  Emotion & design: attractive things work better , 2002, INTR.

[3]  Francesco Piccione,et al.  User adaptive BCIs: SSVEP and P300 based interfaces , 2003, PsychNology J..

[4]  E. Donchin,et al.  On quantifying surprise: the variation of event-related potentials with subjective probability. , 1977, Psychophysiology.

[5]  Dirk Heylen,et al.  Brain-Computer Interfacing and Games , 2010, Brain-Computer Interfaces.

[6]  Wei Wu,et al.  Frequency Recognition Based on Canonical Correlation Analysis for SSVEP-Based BCIs , 2006, IEEE Transactions on Biomedical Engineering.

[7]  Alberto Prieto,et al.  Bio-inspired systems: Computational and ambient intelligence , 2011, Neurocomputing.

[8]  Sara Ilstedt Hjelm,et al.  Brainball - using brain activity for cool competition , 2000 .

[9]  J.D. Bayliss,et al.  Use of the evoked potential P3 component for control in a virtual apartment , 2003, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[10]  Xiaorong Gao,et al.  An online multi-channel SSVEP-based brain–computer interface using a canonical correlation analysis method , 2009, Journal of neural engineering.

[11]  Gert Pfurtscheller,et al.  Navigating Virtual Reality by Thought: What Is It Like? , 2007, PRESENCE: Teleoperators and Virtual Environments.

[12]  Boris Reuderink,et al.  Games and Brain-Computer Interfaces: The State of the Art , 2008 .

[13]  D. Lindsley,et al.  Reaction time and EEG activation under alerted and nonalerted conditions. , 1959, Journal of experimental psychology.

[14]  Julie Thorpe,et al.  Pass-thoughts: authenticating with our minds , 2005, NSPW '05.

[15]  Michael R. Fenlon,et al.  Physicochemical Properties and Biological Response of Titanium Surface Modified by Anodic Spark Deposition for Dental Implants , 2007 .

[16]  Jenova Chen,et al.  Flow in games (and everything else) , 2007, CACM.

[17]  S. Gielen,et al.  The brain–computer interface cycle , 2009, Journal of neural engineering.

[18]  Ernst Fernando Lopes Da Silva Niedermeyer,et al.  Electroencephalography, basic principles, clinical applications, and related fields , 1982 .

[19]  G Pfurtscheller,et al.  EEG-based communication: improved accuracy by response verification. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

[20]  Craig W. Reynolds Flocks, herds, and schools: a distributed behavioral model , 1998 .

[21]  B. Macgillivray EEG Technology , 1982 .

[22]  Ivan Volosyak,et al.  Impact of Frequency Selection on LCD Screens for SSVEP Based Brain-Computer Interfaces , 2009, IWANN.

[23]  Dirk Heylen,et al.  Bacteria Hunt: A multimodal, multiparadigm BCI game , 2010 .

[24]  Dirk Heylen,et al.  Evaluating User Experience of Actual and Imagined Movement in BCI Gaming , 2010, Int. J. Gaming Comput. Mediat. Simulations.

[25]  Lennart E. Nacke,et al.  Flow and immersion in first-person shooters: measuring the player's gameplay experience , 2008, Future Play.

[26]  Anton Nijholt,et al.  Affective Pacman: A Frustrating Game for Brain-Computer Interface Experiments , 2009, INTETAIN.

[27]  E. Donchin,et al.  Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials. , 1988, Electroencephalography and clinical neurophysiology.

[28]  Paul A. Cairns,et al.  A grounded investigation of game immersion , 2004, CHI EA '04.

[29]  Randy J. Pagulayan,et al.  User-centered design in games , 2012 .

[30]  Gary Garcia Molina Detection of high-frequency steady state visual evoked potentials using phase rectified reconstruction , 2008, 2008 16th European Signal Processing Conference.

[31]  John R. Smith,et al.  Steady-State VEP-Based Brain-Computer Interface Control in an Immersive 3D Gaming Environment , 2005, EURASIP J. Adv. Signal Process..

[32]  E. Vesterinen,et al.  Affective Computing , 2009, Encyclopedia of Biometrics.

[33]  José del R. Millán,et al.  An Asynchronous and Non-Invasive Brain-Actuated Wheelchair , 2007 .

[34]  Anton Nijholt,et al.  Turning Shortcomings into Challenges: Brain-Computer Interfaces for Games , 2009, INTETAIN.

[35]  Taku Komura,et al.  Topology matching for fully automatic similarity estimation of 3D shapes , 2001, SIGGRAPH.

[36]  Alberto Prieto,et al.  Statistical Characterization of Steady-State Visual Evoked Potentials and Their Use in Brain–Computer Interfaces , 2009, Neural Processing Letters.

[37]  M. Bradley,et al.  Measuring emotion: the Self-Assessment Manikin and the Semantic Differential. , 1994, Journal of behavior therapy and experimental psychiatry.

[38]  Desney S. Tan,et al.  Brain-computer interfaces for hci and games , 2008, CHI Extended Abstracts.

[39]  Xiaorong Gao,et al.  Design and implementation of a brain-computer interface with high transfer rates , 2002, IEEE Transactions on Biomedical Engineering.

[40]  Paul A. Cairns,et al.  Measuring and defining the experience of immersion in games , 2008, Int. J. Hum. Comput. Stud..

[41]  Mahmoud Moghavvemi,et al.  Assessment of Steady-State Visual Evoked Potential for Brain Computer Communication , 2007 .

[42]  Touradj Ebrahimi,et al.  An efficient P300-based brain–computer interface for disabled subjects , 2008, Journal of Neuroscience Methods.