Annalina Caputo
Papers
1
Total Citations
6
H-Index
1
About
Annalina Caputo is a leading researcher at the intersection of artificial intelligence, affective computing, and healthcare ethics. Her work focuses on endowing robotic systems with social intelligence—enabling them to recognize and respond to human emotions through multilingual and multimodal cues. Caputo’s most cited paper, “CASIE – Computing Affect and Social Intelligence for Healthcare in an Ethical and Trustworthy Manner” (2021), exemplifies her commitment to developing emotion-aware decision-making capabilities that allow robots to behave contextually and cooperatively in sensitive care settings. This foundational work has garnered 6 citations and is pivotal in shaping how AI can be deployed responsibly in healthcare. Beyond this, Caputo’s contributions advance the ethical frameworks necessary for trustworthy human-robot interaction, ensuring that emotional recognition technologies are both effective and aligned with patient well-being. Her research not only pushes the boundaries of social robotics but also addresses critical questions of trust and safety in AI-assisted care. For students and researchers, Caputo’s work offers a compelling model of how technical innovation can be harmonized with human-centered values.
Research Focus
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Top Papers
- 1