David Casacuberta
Papers
6
Total Citations
115
H-Index
5
About
David Casacuberta is a researcher whose work sits at the compelling intersection of artificial intelligence, affective computing, and embodied cognition. He has made significant contributions to understanding how emotions can be integrated into artificial systems, particularly robots and computers, pushing the boundaries of what machines can perceive and express. His most influential work, the *Handbook of Research on Synthetic Emotions and Sociable Robotics* (2009), has garnered 63 citations and remains a foundational reference for researchers exploring how artificial environments can incorporate emotional intelligence. Casacuberta has also tackled the ethical dimensions of this work, examining in a 2014 paper — cited 24 times — how medical machines might be designed to foster genuine empathy with patients, raising critical questions about technology's role in human care. A recurring theme across his research is a principled critique of purely algorithmic AI, with multiple works advocating for embodied, morphologically grounded approaches to cognition that draw on the physical form of intelligent agents. Together, these contributions establish Casacuberta as a thoughtful voice in the debate over how machines should think, feel, and interact with the humans they serve.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Embodying Cognition10 citations · 2010
- 4From Computational Emotional Models to HRI7 citations · 2013
- 5Embodying Cognition: A Morphological Perspective6 citations · 2011
- 6Embodying Cognition5 citations · 2011