@inbook{3e30124f4d394660975de16912c5eb77,
title = "Development of a Memory Training Game",
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.",
author = "Kristoffer Jensen and Andrea Valente",
year = "2014",
doi = "10.1007/978-3-642-45432-5_3",
language = "English",
isbn = "978-3-642-45431-8",
volume = "536",
series = "Studies in Computational Intelligence",
publisher = "Springer Publishing Company",
pages = "25--38",
editor = "Brooks, {Anthomy Lewis} and Sheryl Brahnam and Jain, {Lakhmi C.}",
booktitle = "Technologies of Inclusive Well-Being",
address = "United States",
}