Papers
10
Total Citations
246
H-Index
5
About
Carmen Santoro is a leading researcher at the intersection of human-robot interaction, end-user development, and cognitive health, whose work is pioneering the use of humanoid robots for the cognitive training of older adults. Her most impactful contribution is demonstrating how serious games delivered by humanoid robots can effectively support individuals with Mild Cognitive Impairment (MCI), with her landmark 2020 study on this topic accumulating 92 citations. Santoro’s key innovation lies in personalization: she has shown that enabling non-expert users to program robot behaviour through intuitive trigger-action rules (73 citations) and tailoring game content to users’ personal memories can dramatically improve engagement and therapeutic outcomes. Her research further explores how robot personality—introverted versus extraverted—affects user experience, revealing critical design insights for socially assistive robotics. By combining end-user development with adaptive, reinforcement-learning-driven robot behaviours, Santoro is making sophisticated robotic assistance accessible and effective for vulnerable populations. Her work, recognized in venues like *International Journal of Social Robotics*, is shaping a future where humanoid robots become compassionate, customizable partners in elder care.
Research Focus
Key Achievements
Top Papers
- 1
- 2Trigger-Action Programming for Personalising Humanoid Robot Behaviour73 citations · 2019
- 3End-user development for personalizing applications, things, and robots56 citations · 2019
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- 8End User Personalization of Social Humanoid Robots.2 citations · 2019
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