buccoliero
univrit
KEYWORDS: Speech Emotion Recognition; Burnout; Psychological Assessment; Psychometrics; Affective Computing; Digital Health
This doctoral thesis examines the role of emotion recognition algorithms, with a specific focus on Speech Emotion Recognition (SER), in relation to burnout syndrome, treated here as a focal but bounded construct, and to the broader objectives of digital care and patient empowerment.
Burnout, officially recognised by the World Health Organization (WHO) as an occupational phenomenon, is increasingly prevalent across diverse professional sectors and is associated with severe psychological, organisational, and societal costs. Despite its impact, diagnostic practices remain largely dependent on self-report measures, which, while valuable, are limited by subjectivity, cultural biases, and their inability to capture dynamic changes in real-world contexts.
The research adopts a multidisciplinary perspective that integrates psychology, occupational health, and artificial intelligence. It is guided by the premise that chronic stress and burnout manifest in subtle but measurable changes in vocal production, reflected in acoustic, prosodic, and temporal features. By developing a digital application for collecting structured voice samples and psychometric data, this work investigates the potential of voice biomarkers to complement established diagnostic instruments, such as the Maslach Burnout Inventory (MBI) and the Oldenburg Burnout Inventory (OLBI).
At the core of the thesis is a conceptual model that situates SER within a layered framework, encompassing data collection, feature extraction, classification through machine learning, validation against psychometric benchmarks, and application within digital health platforms. This structure ensures that computational methods are not only technically accurate but also psychologically interpretable and clinically relevant. Empirical analyses demonstrate that AI-driven voice analysis can enhance the validity and sensitivity of burnout assessment, providing non-invasive, scalable, and continuous monitoring capabilities that traditional tools alone cannot achieve.
The study also addresses the ethical and practical dimensions of implementing SER in healthcare and occupational settings. Considerations of privacy, transparency, algorithmic bias, and user trust are positioned as fundamental prerequisites for adoption, highlighting that technological progress must be accompanied by ethical safeguards and regulatory compliance. SER is therefore presented as a promising assessment direction rather than a clinically validated tool.
By situating emotion recognition within the broader discourse of digital health, this research suggests that SER may enrich psychological assessment, inform occupational well-being strategies, and contribute to patient empowerment in carefully bounded ways. Ultimately, the thesis suggests that emotion recognition algorithms may serve not only as scientific tools for advancing affective computing but also as potentially useful instruments for informing healthcare delivery, supporting earlier and more personalised forms of care in appropriate contexts where appropriately validated and implemented.
CV_Buccoliero_01.2026.pdf
(pdf, it, 461 KB, 11/04/26)
I was born on October 27, 1989, in Italy, and from a young age, I've always been driven by a passion for knowledge and innovation. My academic journey led me to Luiss University in Rome, where I earned both my Bachelor's and Master's Degrees with high grades, reflecting my dedication to my studies. Pursuing further excellence, I obtained my PhD in Human Science from the Università degli studi di Verona, delving deeper into my interests and expanding my expertise.
My primary focus is on identifying and implementing cutting-edge solutions in Artificial Intelligence (AI) and Machine Learning (ML), which are pivotal to advancing our digital therapeutics, One Health and Population Health Management initiatives. I'm deeply involved in strategic planning, overseeing the development and integration of innovative technologies that promise to redefine healthcare delivery and management. This role demands a blend of technical acumen, strategic foresight, and a collaborative spirit to work across various teams and projects. I support GPI staying ahead in the rapidly evolving tech landscape, shaping the future of healthcare services with a keen eye on enhancing patient care and operational efficiency.
My entrepreneurial spirit has also seen me founding and managing Living Salento srl and Piano B Cultural Club, initiatives that have allowed me to explore my creative and management skills in building successful ventures. My career journey includes significant roles such as General Manager at Pellegrino Brothers Group and Account Manager positions at Marconi Group and E-Work spa, where I've honed my skills in business management, strategy, and customer relations.
Beyond my professional life, I am fluent in English, which has been invaluable in my career and personal growth. My digital and analytical skills are continuously refined, keeping me at the forefront of technological advancements. My interests are broad, encompassing music, art, technology, and sports, which not only provide a well-rounded life experience but also inspire my work and innovation. This blend of academic achievement, professional success, and personal interests shapes who I am today, driving me towards future goals with a balanced perspective on life and work.
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