dorsal/arxiv
View SchemaTailored Immersive Environments: Advancing Neurodivergent Support Through Virtual Reality
| Authors | Elia Moscoso-Thompson, Katia Lupinetti, Irene Capasso, Fabrizio Ravicchio, Brigida Bonino, Franca Giannini, Andrea Canessa, Silvio Sabatini, Lucia Ferlino, Chiara Malagoli |
|---|---|
| Categories | |
| ArXiv ID | 2601.08652vv1 |
| URL | https://arxiv.org/abs/2601.08652 |
| License | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Abstract
Every day life tasks can present significant challenges for neurodivergent individuals, particularly those with Autism Spectrum Disorders (ASD) who are characterized by specific sensitivities. This contribution describes a virtual reality system that allows neurodivergent individuals to experience everyday situations in order to practice and implement strategies for overcoming their daily challenges. The key strength of the proposed system is the automatic personalization of the virtual environment, based on both the individual's abilities and their specific training needs. The proposed method has been evaluated on four synthetic user profiles, also proposing a metric able to evaluate the variance of the features within the same difficulty level. The results show that the method can produce a significant number of scenarios for the various difficulty levels. Furthermore, within the same difficulty, there is a wide variance of the non-constrained features for the specific profile.
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"abstract": "Every day life tasks can present significant challenges for neurodivergent individuals, particularly those with Autism Spectrum Disorders (ASD) who are characterized by specific sensitivities. This contribution describes a virtual reality system that allows neurodivergent individuals to experience everyday situations in order to practice and implement strategies for overcoming their daily challenges. The key strength of the proposed system is the automatic personalization of the virtual environment, based on both the individual\u0027s abilities and their specific training needs. The proposed method has been evaluated on four synthetic user profiles, also proposing a metric able to evaluate the variance of the features within the same difficulty level. The results show that the method can produce a significant number of scenarios for the various difficulty levels. Furthermore, within the same difficulty, there is a wide variance of the non-constrained features for the specific profile.",
"arxiv_id": "2601.08652",
"authors": [
"Elia Moscoso-Thompson",
"Katia Lupinetti",
"Irene Capasso",
"Fabrizio Ravicchio",
"Brigida Bonino",
"Franca Giannini",
"Andrea Canessa",
"Silvio Sabatini",
"Lucia Ferlino",
"Chiara Malagoli"
],
"categories": [
"cs.HC"
],
"license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
"title": "Tailored Immersive Environments: Advancing Neurodivergent Support Through Virtual Reality",
"url": "https://arxiv.org/abs/2601.08652",
"version": "v1"
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