The Design Of A Game-based Software For Children With Autism Spectrum Disorder

Luongo, Maria; Simeoli, Roberta; Marocco, Davide; Ponticorvo, Michela

doi:10.1109/metroxraine54828.2022.9967545

Cited by 3 publications

(4 citation statements)

References 22 publications

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“…Lee et al ( 2018 ) designed PuzzleWalk , an interactive system that incorporates gamified activities and augmented reality resources to promote physical exercise as a healthy habit in people from this group. Luongo et al ( 2022 ) design a game-based software that allows them to be stimulated and detect early motor problems. On the other hand, Lu et al ( 2022 ) improve the quality of early care by creating a gamified proposal for families.…”

Section: Resultsmentioning

confidence: 99%

“…The rules of the game, the visual rewards, the feedback, and the establishment of short-term goals involve the students in the game from their intrinsic motivation (Lee et al, 2018 ). These environments can also favor autonomy (Camargo et al, 2019 ), problem solving (Elshahawy et al, 2022a ), and monitoring of the evolution of students by families and teachers (Goswami et al, 2019; Lu et al, 2022 ) as well as physical activity (Lee et al, 2022 ; Luongo et al, 2022 ). In this context, it is important to integrate gamified techniques in clinical or psychoeducational treatments, especially when the aim is to develop skills such as self-recognition and social performance (Constain et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

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Gamified Environments and Serious Games for Students With Autistic Spectrum Disorder: Review of Research

López-Bouzas

Pérez

2023

Rev J Autism Dev Disord

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The aim of this study is to review the available research (N = 70) derived from the use of Gamified Environments and Serious Games with people with Autistic Spectrum Disorder (ASD), identifying: authorship, nationality, publication period, topic, and design of the investigation. After that, the advantages and limitations observed are identified. Results indicate that most of them are focused on the design and testing of prototypes, (mostly) linked to the increase of social and emotional skills. The revision highlights that the game’s mechanics and dynamics (feedback, rewards, missions, etc.) involve students from motivation. There is unanimous agreement to emphasize the positive impact of these resources to increment self-control, self-conscience, autonomy, and empathy.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Gamified Environments and Serious Games for Students With Autistic Spectrum Disorder: Review of Research

López-Bouzas

Pérez

2023

Rev J Autism Dev Disord

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“…These considerations and our results pave the way for future studies, but without losing sight that when working with children’s populations, especially children with disabilities such as autism, it is crucial to create a relaxing environment for accurate behavioral assessment. Adopting gamified approaches, such as the use of game software on tablets, not only provides immediate, automatic, and quantitative data, but also creates an ecological and friendly assessment setting [ 35 ].…”

Section: Discussionmentioning

confidence: 99%

“…The game involves a drag and drop task. Specifically, the user has to drag an image placed in the center of the screen, with coordinate (0,0), to a target image, placed in one of eight positions with angular distances of 45 degrees, as in Fig 1A [ 35 ].…”

Section: Methodsmentioning

confidence: 99%

Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification

Luongo,

Simeoli,

Marocco

et al. 2024

PLoS ONE

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In recent years, research has been demonstrating that movement analysis, utilizing machine learning methods, can be a promising aid for clinicians in supporting autism diagnostic process. Within this field of research, we aim to explore new models and delve into the detailed observation of certain features that previous literature has identified as prominent in the classification process. Our study employs a game-based tablet application to collect motor data. We use artificial neural networks to analyze raw trajectories in a "drag and drop" task. We compare a two-features model (utilizing only raw coordinates) with a four-features model (including velocities and accelerations). The aim is to assess the effectiveness of raw data analysis and determine the impact of acceleration on autism classification. Our results revealed that both models demonstrate promising accuracy in classifying motor trajectories. The four-features model consistently outperforms the two-features model, as evidenced by accuracy values (0.90 vs. 0.76). However, our findings support the potential of raw data analysis in objectively assessing motor behaviors related to autism. While the four-features model excels, the two-features model still achieves reasonable accuracy. Addressing limitations related to sample size and noise is essential for future research. Our study emphasizes the importance of integrating intelligent solutions to enhance and assist autism traditional diagnostic process and intervention, paving the way for more effective tools in assessing motor skills.

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Measuring Spatial Behaviour and Cognition: A Method Based on Trajectories Analysis and Supported by Technology and Artificial Intelligence

Ponticorvo,

Luongo,

Argiuolo

et al. 2024

Lecture Notes in Computer Science

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The Design Of A Game-based Software For Children With Autism Spectrum Disorder

Cited by 3 publications

References 22 publications

Gamified Environments and Serious Games for Students With Autistic Spectrum Disorder: Review of Research

Gamified Environments and Serious Games for Students With Autistic Spectrum Disorder: Review of Research

Enhancing early autism diagnosis through machine learning: Exploring raw motion data for classification

Measuring Spatial Behaviour and Cognition: A Method Based on Trajectories Analysis and Supported by Technology and Artificial Intelligence

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