Abstract
This paper presents Megame [me-ga-me], a multiplatform game for working memory training and assessment. Megame uses letters and words to amuse, train and assess memory capacity. Based on memory research, the main parameters of the working memory have been identified and some improvement possibilities are presented. While it is not clear that the working memory in itself can be improved, other cognitive functions are identified that may be improved while playing Megame. Other uses of Megame include spelling and vocabulary training and learning modality assessment. Megame is written in Python using an agile and iterative approach, taking advantage from rapid prototyping and allowing for user-driven development.
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Notes
- 1.
- 2.
In Phaedrus, Plato, around 500 B.C.
- 3.
Literally “On the Orator”, written circa 55 B.C.
- 4.
As in Ars Memoriae (“The Art of Memory”) by Giordano Bruno, 1582.
- 5.
Memory, also known as Concentration or Pairs can be played with a standard deck of playing cards or with special decks. Source: http://en.wikipedia.org/wiki/Concentration_(game).
- 6.
This game is described in Kim by Rudyard Kipling, 1901, in Chap. 9. The book is freely available at Project Gutenberg (http://www.gutenberg.org/files/2226/2226-h/2226-h.htm).
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- 8.
- 9.
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- 11.
- 12.
Single Directmedia Layer—http://www.libsdl.org/.
- 13.
JavaScript Object Notation—http://www.json.org/.
- 14.
Pygame Subset for Android—http://pygame.renpy.org/.
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Jensen, K., Valente, A. (2014). Development of a Memory Training Game. In: Brooks, A., Brahnam, S., Jain, L. (eds) Technologies of Inclusive Well-Being. Studies in Computational Intelligence, vol 536. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45432-5_3
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