MEDIUS: A Serious Game for Autistic Children Based on Decision System
Kinane Daouadji Amina and
Bendella Fatima
Simulation & Gaming, 2018, vol. 49, issue 4, 423-440
Abstract:
Background and Aim . This work aims to realize a serious game called “Medius†based on criteria of decision support to present a new mean of communication between the tutor and the autistic child in the form of a playful serious game, and in a purely educational frame. Two methods of communication and learning are involved in Medius : Picture Exchange Communication System “PECS†and Applied Behavior Analysis “ABA†to guarantee an effective apprenticeship for autistic children without taking into account their types of autism . This game is retroactive and will be adapted according to the individual levels of each player. Result . Thanks to the obtained information we were able to know the preferences , the habits and the characters of the autistic children involved in the experiment. Conclusion . This work is very useful for a targeted apprenticeship and personalized to each player ( autistic child) and also represents a mean of communication between the tutor and the autistic child seen the difficulty of the exchanges of the information and the communication which reign in the world of the children affected by the pervasive developmental disorders “PDD†.
Keywords: ABA; apprenticeship; autism; consistency; criterion of decision support; degree of concentration; micro-games; PECS; preference; pseudo-hair technique; reasoning; serious game (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1046878118773891 (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:sae:simgam:v:49:y:2018:i:4:p:423-440
DOI: 10.1177/1046878118773891
Access Statistics for this article
More articles in Simulation & Gaming
Bibliographic data for series maintained by SAGE Publications ().