The advent of the COVID-19 pandemic has generated a number of complex challenges related to the mental health of individuals, causing a significant increase and intensification of problems in this area. The increased awareness of the importance of mental health has fuelled a growing interest in innovation in the field of services to improve people's emotional well-being. Service design can be a strategic approach for the design of applications and Digital Therapy Devices (DTx) aimed at supporting mental health, with a particular emphasis on the use of Artificial Intelligence (AI) as an enabling tool. This thesis aims to examine service design methodologies and best practices applied to the mental health context for the treatment of anxiety disorder, exploring how AI is used to improve the effectiveness and accessibility of such services. Through a critical analysis of case studies and collected data, the main benefits, challenges and implications of implementing AI in mental health services are identified. The main objectives of this thesis include evaluating the effectiveness of AI-based tools in improving the emotional well-being and mental health of patients by offering personalised and scalable support services.Furthermore, it aims to understand the perspectives of users and healthcare professionals regarding such innovations, taking into consideration the needs and expectations of patients and the constraints faced by practitioners. Through the integration of service design, mental wellbeing and artificial intelligence concepts, this research aims to provide a comprehensive picture of the opportunities and challenges in using AI for mental health care.
L’avvento della pandemia di COVID-19 ha generato una serie di sfide complesse legate alla salute mentale degli individui, causando un aumento significativo e un’intensificazione dei problemi legati a questo ambito. L’acquisizione di una maggiore consapevolezza dell’importanza della salute mentale ha alimentato un interesse crescente per l’innovazione nel settore dei servizi volti a migliorare il benessere emotivo delle persone. Il service design può rappresentare un approccio strategico per la progettazione di applicazioni e Dispositivi di Terapia Digitale (DTx) finalizzati al supporto della salute mentale, con una particolare enfasi sull’impiego dell’Intelligenza Artificiale (IA) come strumento abilitante. Questa tesi vuole esaminare le metodologie e le best practices del service design applicate al contesto della salute mentale per la cura del disturbo dell’ansia, esplorando come l’IA sia utilizzata per migliorare l’efficacia e l’accessibilità di tali servizi. Attraverso un’analisi critica di casi di studio e dei dati raccolti, vengono identificati i principali vantaggi, sfide e implicazioni legate all’implementazione dell’IA nei servizi per la salute mentale.Gli obiettivi principali di questa tesi includono la valutazione dell’efficacia degli strumenti basati sull’IA nel migliorare il benessere emotivo e la salute mentale dei pazienti offrendo servizi di supporto personalizzati e scalabili. Inoltre, si intende comprendere le prospettive degli utenti e dei professionisti sanitari riguardo a tali innovazioni, tenendo in considerazioen le esigenze e le aspettative dei pazienti e i vincoli affrontati dai professionisti del settore. Attraverso l’integrazione di concetti di service design, benessere mentale e intelligenza artificiale, questa ricerca mira a fornire un quadro esaustivo delle opportunità e delle sfide nell’utilizzo dell’IA per la cura della salute mentale.
Innovazioni per il benessere emotivo: il ruolo del Service Design e dell'Intelligenza Artificiale nella cura dell'ansia
Mannucci, Alice
2022/2023
Abstract
The advent of the COVID-19 pandemic has generated a number of complex challenges related to the mental health of individuals, causing a significant increase and intensification of problems in this area. The increased awareness of the importance of mental health has fuelled a growing interest in innovation in the field of services to improve people's emotional well-being. Service design can be a strategic approach for the design of applications and Digital Therapy Devices (DTx) aimed at supporting mental health, with a particular emphasis on the use of Artificial Intelligence (AI) as an enabling tool. This thesis aims to examine service design methodologies and best practices applied to the mental health context for the treatment of anxiety disorder, exploring how AI is used to improve the effectiveness and accessibility of such services. Through a critical analysis of case studies and collected data, the main benefits, challenges and implications of implementing AI in mental health services are identified. The main objectives of this thesis include evaluating the effectiveness of AI-based tools in improving the emotional well-being and mental health of patients by offering personalised and scalable support services.Furthermore, it aims to understand the perspectives of users and healthcare professionals regarding such innovations, taking into consideration the needs and expectations of patients and the constraints faced by practitioners. Through the integration of service design, mental wellbeing and artificial intelligence concepts, this research aims to provide a comprehensive picture of the opportunities and challenges in using AI for mental health care.| File | Dimensione | Formato | |
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https://hdl.handle.net/10589/218830