Abstract

We present the design and development of Affective Pacman, a game that induces frustration to study the effect of user state changes on the EEG signal. Affective Pacman is designed to induce frustration for short periods, and allows the synchronous recording of a wide range of sensors, such as physiological sensors and EEG in addition to the game state. A self-assessment is integrated in the game to track changes in user state. Preliminary results indicate a significant effect of the frustration induction on the EEG.

Keywords

Brain-Computer Interfaces EEG physiological sensors frustration affective computing Pacman 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Agarwal, S., Graepel, T., Herbrich, R., Roth, D.: A large deviation bound for the area under the ROC curve. In: Advances in Neural Information Processing Systems, vol. 17, pp. 9–16 (2005)Google Scholar
  2. 2.
    Bradley, M.M., Lang, P.J.: Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry 25(1), 49–59 (1994)CrossRefGoogle Scholar
  3. 3.
    Chanel, G., Rebetez, C., Bétrancourt, M., Pun, T.: Boredom, engagement and anxiety as indicators for adaptation to difficulty in games. In: Proceedings of the 12th International Conference on Entertainment and Media in the Ubiquitous Era, pp. 13–17 (2008)Google Scholar
  4. 4.
    Diener, H., Oertel, K.: Experimental approach to affective interaction in games. In: Edutainment, pp. 507–518 (2006)Google Scholar
  5. 5.
    Klein, J., Moon, Y., Picard, R.W.: This computer responds to user frustration: Theory, design, and results. Interacting with Computers 14, 119–140 (2002)CrossRefGoogle Scholar
  6. 6.
    Krepki, R., Blankertz, B., Curio, G., Müller, K.-R.: The berlin brain-computer interface (BBCI) - towards a new communication channel for online control in gaming applications. Multimedia Tools and Applications 33(1), 73–90 (2007)CrossRefGoogle Scholar
  7. 7.
    McFarland, D.J., Miner, L.A., Vaughan, T.M., Wolpaw, J.R.: Mu and beta rhythm topographies during motor imagery and actual movements. Brain Topography 12(3), 117–186 (2000)CrossRefGoogle Scholar
  8. 8.
    Scheirer, J., Fernandez, R., Klein, J., Picard, R.W.: Frustrating the user on purpose: A step toward bulding an affective computer. Interacting with Computers 14, 93–118 (2002)CrossRefGoogle Scholar

Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2009

Authors and Affiliations

  • Boris Reuderink
    • 1
  • Anton Nijholt
    • 1
  • Mannes Poel
    • 1
  1. 1.Faculty of EEMCSUniversity of TwenteEnschedeThe Netherlands

Personalised recommendations