Abstract
This research highlights the importance of Emotion Aware Technologies (EAT) and their implementation in serious games to assist children with Autism Spectrum Disorder (ASD) in developing social-emotional skills. As AI is gaining popularity, such tools can be used in mobile applications as invaluable teaching tools. In this paper, a new AI framework application is discussed that will help children with ASD develop efficient social-emotional skills. It uses the Jetpack Compose framework and Google Cloud Vision API as emotion-aware technology. The framework is developed with two main features designed to help children reflect on their emotions, internalise them, and train them how to express these emotions. Each activity is based on similar features from literature with enhanced functionalities. A diary feature allows children to take pictures of themselves, and the application categorises their facial expressions, saving the picture in the appropriate space. The three-level minigame consists of a series of prompts depicting a specific emotion that children have to match. The results of the framework offer a good starting point for similar applications to be developed further, especially by training custom models to be used with ML Kit.
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Divisions: | School of Built Environment, Engineering and Computing |
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Identification Number: | https://doi.org/10.3390/computers14070292 |
Status: | Published |
Refereed: | Yes |
Publisher: | MDPI AG |
Additional Information: | © 2025 by the authors |
Uncontrolled Keywords: | 40 Engineering; 46 Information and computing sciences |
SWORD Depositor: | Symplectic |
Depositing User (symplectic) | Deposited by Voderhobli, Kiran |
Date Deposited: | 21 Jul 2025 13:01 |
Last Modified: | 23 Jul 2025 04:20 |
Item Type: | Article |
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Read more research from the author(s):
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A La Fauci De Leo
ORCID: 0009-0008-8295-8242
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P Bagheri Zadeh
ORCID: 0000-0002-2875-3253
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K Voderhobli
ORCID: 0009-0000-8280-1829
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A Sheikh Akbari
ORCID: 0000-0003-0677-7083