An Adaptive Learning Game for Autistic Children using Reinforcement Learning and Fuzzy Logic | ||
| Journal of AI and Data Mining | ||
| مقاله 10، دوره 7، شماره 2، تیر 2019، صفحه 321-329 اصل مقاله (1.59 M) | ||
| نوع مقاله: Research Note | ||
| شناسه دیجیتال (DOI): 10.22044/jadm.2018.6010.1709 | ||
| نویسندگان | ||
| A.H. Khabbaz* 1؛ A. Pouyan2؛ M. Fateh1؛ V. Abolghasemi1 | ||
| 1Laboratory of Advanced Industrial Signal Processing and Artificial Intelligence, School of Computer Engineering, Shahrood University of Technology, Shahrood, Iran | ||
| 2School of Computer & IT Engineering, Shahrood University of Technology | ||
| چکیده | ||
| This paper, presents an adapted serious game for rating social ability in children with autism spectrum disorder (ASD). The required measurements are obtained by challenges of the proposed serious game. The proposed serious game uses reinforcement learning concepts for being adaptive. It is based on fuzzy logic to evaluate the social ability level of the children with ASD. The game adapts itself to the level of the autistic patient by reducing or increasing the challenges in the game via an intelligent agent during the play time. This task is accomplished by making more elements and reshaping them to a variety of real world shapes and redesigning their motions and speed. If autistic patient's communication level grows during the playtime, the challenges of game may become harder to make a dynamic procedure for evaluation. At each step or state, using fuzzy logic, the level of the player is estimated based on some attributes such as average of the distances between the fixed points gazed by the player, or number of the correct answers selected by the player divided by the number of the questioned objects. This paper offers the usage of dynamic AI difficulty system proposing a concept to enhance the conversation skills in autistic children. The proposed game is tested by participating of 3 autistic children. Each of them played the game in 5 turns. The results displays that the method is useful in the long-term. | ||
| کلیدواژهها | ||
| ASD؛ adaptive game؛ Reinforcement learning؛ fuzzy logic | ||
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آمار تعداد مشاهده مقاله: 1,864 تعداد دریافت فایل اصل مقاله: 1,452 |
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