Sergio Nocco
Papers
1
Total Citations
18
H-Index
1
About
Sergio Nocco is a pioneering researcher at the intersection of social robotics, affective computing, and geriatric healthcare. His work centers on developing emotionally intelligent robotic systems to improve cognitive assessment and care for older adults, particularly those with dementia. Nocco’s most cited study, “Assessing Feasibility of Cognitive Impairment Testing Using Social Robotic Technology Augmented with Affective Computing and Emotional State Detection Systems” (2023, 18 citations), demonstrates a groundbreaking approach: validating the Mini-Mental State Examination (MMSE) when administered by the Pepper robot. By integrating emotional state detection and psychophysical monitoring, this research shows how robots can enhance diagnostic accuracy while reducing patient anxiety. Nocco’s contributions bridge robotics and clinical psychology, offering scalable, compassionate solutions for dementia care. His work has been recognized for its potential to transform elderly support systems, making cognitive testing more accessible and less intimidating. With a growing citation impact, Nocco is shaping the future of human-robot interaction in healthcare, where machines not only assist but also understand and respond to human emotions.
Research Focus
Key Achievements
Top Papers
- 1