Chiara Pupillo
Biographic Data
| ID | 9934604 |
|---|---|
| NAME | Chiara Pupillo |
| GIVEN NAMES | Chiara |
| FAMILY NAME | Pupillo |
| SIGNATURE | PUPILLO C |
| AFFILIATIONS | Università Cattolica del Sacro Cuore |
| ORCID | 0009-0007-5764-1211 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Toward clinical integration of generative AI in mental health
The integration of conversational agents (CAs) into mental health care presents a promising yet complex frontier. These systems have demonstrated potential in expanding access, enhancing user engagement and providing scalable support, particularly in contexts where human clinicians are unavailable. Despite these advantages, CAs face two fundamental limitations: their quality of interaction and the ability to facilitate self-reflection. This persp…
VR-FlexAI
Socrates. Developing and Evaluating a Fine-Tuned ChatGPT Model for Accessible Mental Health Intervention
Generative artificial intelligence is reshaping mental health care, offering scalable, personalized, and empathetic support. This is not a new discussion—more than a decade ago, Cristea et al. showed that users perceived both human and chatbot therapists as equally human-like, highlighting a shift in therapeutic interaction paradigms
Detecting Cognitive Flexibility Deficits in Aging
This project, in collaboration between the Humane Technology Lab of the Catholic University of Sacred Heart (Milan, Italy) and the University of Pisa (Pisa, Italy), proposes a novel approach that combines VR assessment with ML and semantic network analysis. The aim is to detect early cognitive flexibility deficits by developing a new VR assessment through various changes in daily tasks. During these tasks, behavioral scores on VR tasks, such as c…
CO-XAI—Cognitive Decision Intelligence Framework for Explainable AI Systems
No prominent works on this page.
Detecting Cognitive Flexibility Deficits in Aging
This project, in collaboration between the Humane Technology Lab of the Catholic University of Sacred Heart (Milan, Italy) and the University of Pisa (Pisa, Italy), proposes a novel approach that combines VR assessment with ML and semantic network analysis. The aim is to detect early cognitive flexibility deficits by developing a new VR assessment through various changes in daily tasks. During these tasks, behavioral scores on VR tasks, such as c…
CO-XAI—Cognitive Decision Intelligence Framework for Explainable AI Systems
Socrates. Developing and Evaluating a Fine-Tuned ChatGPT Model for Accessible Mental Health Intervention
Generative artificial intelligence is reshaping mental health care, offering scalable, personalized, and empathetic support. This is not a new discussion—more than a decade ago, Cristea et al. showed that users perceived both human and chatbot therapists as equally human-like, highlighting a shift in therapeutic interaction paradigms
Toward clinical integration of generative AI in mental health
The integration of conversational agents (CAs) into mental health care presents a promising yet complex frontier. These systems have demonstrated potential in expanding access, enhancing user engagement and providing scalable support, particularly in contexts where human clinicians are unavailable. Despite these advantages, CAs face two fundamental limitations: their quality of interaction and the ability to facilitate self-reflection. This persp…
VR-FlexAI
Cognition (3 works) · Computer Science (3 works) · Psychology (3 works) · Artificial Intelligence (2 works) · Artificial Intelligence in Healthcare and Education (2 works) · Mental health (2 works) · Multimodality (2 works) · Psychiatry (2 works) · Action Observation and Synchronization (1 work) · Adolescent and Pediatric Healthcare (1 work)