Stevienna de Saille

University of Sheffield

Papers

7

Total Citations

299

H-Index

6

About

Stevienna de Saille is a leading voice in responsible innovation and human-robot interaction, whose work critically examines how autonomous systems are designed, deployed, and trusted—especially in socially sensitive contexts like healthcare. Her research focuses on the intersection of robotics, social justice, and stakeholder engagement, with a particular emphasis on inclusive design for vulnerable populations. Among her most influential contributions is a study on social-cognitive recovery strategies in robots (100 citations), which reshaped understanding of how robots can rebuild human trust after errors. She also co-led a global horizon scan on the ecological impacts of robotics (87 citations) and published a consumer-centric analysis of service robots in long-term care (77 citations), highlighting how disabled and elderly users envision emotional and practical support from intelligent machines. De Saille is a pioneer in applying LEGO® Serious Play® as a participatory method for Responsible Research and Innovation (RRI), enabling diverse stakeholders—including care recipients—to co-create design imaginaries. Her Social Triad Model (2023) introduces the critical role of the “deployer” in trust dynamics, expanding traditional human-robot interaction frameworks. Through upstream co-creation and inclusive methodologies, de Saille ensures that marginalized voices shape the future of autonomous care systems, making her work essential for ethically grounded robotics.

Research Focus

Key Achievements

6
H-Index
7
Papers
299
Total Citations
43
Avg Citations/Paper
🏆 Most Cited Paper
The effect of social-cognitive recovery strategies on likability, capability and trust in social robots
100 citations · 2020
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 102
🏛 Institutions: University of Sheffield

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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