JACIII Vol.18 No.3 pp. 311-314
doi: 10.20965/jaciii.2014.p0311


Applications of Modern HCIs in Adaptive Mobile Learning

Luca Szegletes and Bertalan Forstner

Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Magyar Tudosok korutja 2., 1117 Budapest, Hungary

February 19, 2013
August 12, 2013
May 20, 2014
biofeedback, affective games, adaptive games, mobile devices, reinforcement learning

Our paper shows how the evolution of HCI devices progresses as a mobile learning tool. Mobile devices provide interesting applications for cognitive infocommunication. Our principal objective is to assist in developing educational games on these devices. Working with different educational institutes, we designed a flexible biofeedback-controlled self-rewarding framework. Several promising approaches and methods are proposed outside the box of educational games in this paper. The attention of players is regulated by changing rewards. We show both how educational games can be improved and how adaptive entertainment games may be developed in the near future.

Cite this article as:
L. Szegletes and B. Forstner, “Applications of Modern HCIs in Adaptive Mobile Learning,” J. Adv. Comput. Intell. Intell. Inform., Vol.18, No.3, pp. 311-314, 2014.
Data files:
  1. [1] R. S. Sutton and A. G. Barto, “Reinforcement Learning: An Introduction,” The MIT Press, Cambridge, MA, 1998.
  2. [2] W. Schultz, P. Dayan, and R. P. Montague, “A Neural Substrate of Prediction and Reward,” Science, Vol.275, No.5306, pp. 1593-1599, 1997.
  3. [3] M. Aggarwal, B. Hyland, and J. Wickens, “Neural control of dopamine neurotransmission: implications for reinforcement learning,” European J. of Neuroscience, Vol.35, No.7, pp. 1115-23, 2012.
  4. [4] H. Bayer and P. Glimcher, “Midbrain dopamine neurons encode a quantitative reward prediction error signal,” Neuron, Vol.47, No.1, pp. 129-141, 2005.
  5. [5] M. Koepp, R. Gunn, A. Lawrence, V. Cunningham, A. Dagher, T. Jones, D. Brooks, C. Bench, and P. Grasby, “Evidence for striatal dopamine release during a video game,” Nature, Vol.393, No.6682, pp. 266-268, 1998.
  6. [6] S. Kuhn, A. Romanowski, C. Schilling, R. Lorenz, C. Morsen, N. Seiferth, T. Banaschewski, A. Barbot, G. J. Barker, C. Buchel, P. J. Conrod, J. W. Dalley, H. Flor, H. Garavan, B. Ittermann, K. Mann, J.-L. Martinot, T. Paus, M. Rietschel, M. N. Smolka, A. Strohle, B. Walaszek, G. Schumann, A. Heinz, and J. Gallinat, “The neural basis of video gaming,” Translational Psychiatry, Vol.1, No.e53, 2011.
  7. [7] G. Sallai, “The Cradle of Cognitive Infocommunications,” Acta Polytechnica Hungarica, Vol.9, No.1, pp. 171-181, 2012.
  8. [8] A. Csapo and P. Baranyi, “A Unified Terminology for the Structure and Semantics of CogInfoCom Channels,” Acta Polytechnica Hungarica, Vol.9, No.1, pp. 85-105, 2012.
  9. [9] N. BZ, “Newzoo ’s latest Trend Report about developments on the Mobile games market,” Technical report, 2012.
  10. [10] A. Nijholt, D. P.-O. Bos, and B. Reuderink, “Turning shortcomings into challenges: Brain-computer interfaces for games,” Entertainment Computing, Vol.1, No.2, pp. 85-94, 2009.
  11. [11] M. K. Petersen, C. Stahlhut, A. Stopczynski, J. E. Larsen, and L. K. Hansen, “Smartphones get emotional: mind reading images and reconstructing the neural sources,” Affective computing and intelligent interaction, Vol.6975, pp. 578-587, 2011.
  12. [12] I. Daubechies, “Ten lectures on wavelets,” Society for Industrial and Applied Mathematics, 1992.
  13. [13] P. S. Kumar, R. Arumuganathan, K. Sivakumar, and C. Vimal, “Removal of artifacts from EEG signals using adaptive filter through wavelet transform,” 9th Int. Conf. on Signal Processing 2008, pp. 2138-2141, 2008.
  14. [14] K. M. Gilleade, A. J. Dix, and J. Allanson, “Affective Videogames and Modes of Affective Gaming: Assist Me, Challenge Me, Emote Me (ACE),” DIGRA Conf., 2005.
  15. [15] L. E. Nacke, M. Kalyn, C. Lough, and R. L. Mandryk, “Biofeedback game design: using direct and indirect physiological control to enhance game interaction,” Proc. of the 2011 Annual Conf. on Human Factors in Computing Systems (CHI’11), pp. 103-112, 2011.
  16. [16] P. Baranyi and A. Csapo, “Definition and Synergies of Cognitive Infocommunications,” Acta Polytechnica Hungarica, Vol.9, pp. 67-83, 2012.

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