The ARCADIA VR project aims to improve ED treatment by seamlessly integrating state-of-the-art technological systems. Their initiative strives to create a versatile treatment model applicable across diverse care levels, ranging from outpatient to intensive inpatient settings, catering for patients of all ages. Leveraging advanced technologies and contemporary scientific tools, the project meticulously studies participants’ unique clinical profiles. The objective is to craft individualized, evidence-based treatments utilizing AI-driven VR devices and biosensors. Their design approach emphasizes a comprehensive treatment continuum, beginning with initial user interaction and extending to follow-up sessions, with a sharp focus on adaptability to various contexts and specific subgroups.

Riva, G., Di Natale, A. F., Frisone, F., Rossi, C., Arcadia VR: Assistance and Rehabilitation of Eating Behavior through Devices Based on Artificial Intelligence and Virtual Reality, <<CYBERPSYCHOLOGY, BEHAVIOR AND SOCIAL NETWORKING>>, N/A; 26 (12): 930-932. [doi:10.1089/cyber.2023.29299.ceu] [https://hdl.handle.net/10807/267883]

Arcadia VR: Assistance and Rehabilitation of Eating Behavior through Devices Based on Artificial Intelligence and Virtual Reality

Riva, Giuseppe
;
Di Natale, Anna Flavia;Frisone, Fabio;Rossi, Chiara
2023

Abstract

The ARCADIA VR project aims to improve ED treatment by seamlessly integrating state-of-the-art technological systems. Their initiative strives to create a versatile treatment model applicable across diverse care levels, ranging from outpatient to intensive inpatient settings, catering for patients of all ages. Leveraging advanced technologies and contemporary scientific tools, the project meticulously studies participants’ unique clinical profiles. The objective is to craft individualized, evidence-based treatments utilizing AI-driven VR devices and biosensors. Their design approach emphasizes a comprehensive treatment continuum, beginning with initial user interaction and extending to follow-up sessions, with a sharp focus on adaptability to various contexts and specific subgroups.
2023
Inglese
Riva, G., Di Natale, A. F., Frisone, F., Rossi, C., Arcadia VR: Assistance and Rehabilitation of Eating Behavior through Devices Based on Artificial Intelligence and Virtual Reality, <<CYBERPSYCHOLOGY, BEHAVIOR AND SOCIAL NETWORKING>>, N/A; 26 (12): 930-932. [doi:10.1089/cyber.2023.29299.ceu] [https://hdl.handle.net/10807/267883]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/267883
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