Papers

18

Total Citations

356

H-Index

12

About

Massimiliano L. Cappuccio is a philosopher and cognitive scientist whose work sits at the dynamic intersection of human-robot interaction, AI ethics, and educational technology. With research spanning moral philosophy, social robotics, and applied technology, Cappuccio has established himself as a leading voice in questions about how humans relate to, trust, and are transformed by artificial agents. His most influential contribution, "Sympathy for Dolores" (59 citations), provocatively examines the moral status of robots through virtue ethics and recognition theory, challenging conventional boundaries between human and machine consideration. Complementing this philosophical work, his research on personalized robot interventions for autistic children (52 citations) demonstrates a commitment to translating theory into tangible human benefit. His edited volume *Robots in Education* (32 citations) has become an important resource for educators and researchers navigating robotics in formal learning environments. Cappuccio's work on anthropomorphism in military human-robot teams reveals the psychological and ethical complexities of deploying autonomous agents in high-stakes contexts, while his investigations into technology acceptance and tolerance (2023) offer new conceptual frameworks for measuring human-AI relationships. Collectively accumulating over 290 citations, his scholarship bridges rigorous philosophical inquiry with real-world technological application, making him an essential figure for anyone studying the human dimensions of robotics and AI.

Research Focus

Key Achievements

12
H-Index
18
Papers
356
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Sympathy for Dolores: Moral Consideration for Robots Based on Virtue and Recognition
59 citations · 2019
📈 Most Prolific Year: 2021 (7 Papers)
🤝 Key Collaborators: 37
🏛 Institutions: United Arab Emirates University, University of Canberra, UNSW Sydney, Abu Dhabi University, École Polytechnique

Top Papers

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    Robots in Education
    32 citations · 2021
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Key Collaborators

Contact & Links

Available for collaboration
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