Our research team has been investigating the power of fairy tales and other computer based multimedia games for children since 1993. Between 1994-2000, many world renown scientists have given keynote speeches in our yearly "Computers & Dyslexia" international conferences. As early as 1997/98 we have been investigating how pattern recognition embedded in story boards with geometric drawings. Especially, the abilities targeted in the "Classic Fairy Tales" series, i.e., puzzles and sequencing games, have been shown to correlate highly with learning. The sequencing game has been used later in the "Mental Attributes Profiling System" as an important element in an early screening test for dyslexia.
Laouris, Y., & Makris, P (1997). A new computerized approach in the study of dyslexia using simple geometrical drawings on the computer. 2nd Congress of the Cyprus Society of Psychiatrists, Cyprus.
Laouris, Y., Minaidou, D., & El-Haddad, C. (1997). Computer interface for studying letter, word and pattern recognition strategies when interacting with computer screens. IEE CONF ABSTRACTS 1997 (Cyprus) Proc., p. 00.
Laouris, Y., & Makris, P (1997). Studying dyslexia using simple geometrical drawings on the computer: Testing also in the blind. IEE CONF ABSTRACTS 1997 (Cyprus) Proc. p. 00.
Laouris, Y., & El-Haddad, C. (1998). Preliminary results in assessing retention and learning attributes through the use of electronic story boards. 4th World Congress on Dyslexia (Halkidiki, Greece).
Loizou, A., & Laouris, Y. (2011). Developing prognosis tools to identify learning difficulties in children using Machine Learning technologies. Cognitive Computation, 3(3): 490–500. DOI 10.1007/s12559-010-9052-5.
Laouris, Y., Aristodemou, E., and Makris, P. (2009). Prediction of Learning Abilities Based on a Cross-Modal Evaluation of Non-verbal Mental Attributes Using Video-Game-Like Interfaces. In Cross-Modal Analysis of Speech, Gestures, Gaze and Facial Expressions: COST Action 2102 international Conference Prague, Czech Republic, October 15-18, 2008 Revised Selected and invited Papers, A. Esposito and R. Vích, Eds. Lecture Notes In Artificial Intelligence, vol. 5641. Springer-Verlag, Berlin, Heidelberg, 248-265. DOI= http://dx.doi.org/10.1007/978-3-642-03320-9_24