Papers

15

Total Citations

491

H-Index

13

About

Lorenza Tiberio is a distinguished researcher whose work sits at the intersection of human-robot interaction, assistive technology, and gerontechnology — fields dedicated to improving the quality of life for older adults through intelligent systems. Her research has made significant contributions to understanding how elderly users perceive, accept, and psychologically respond to domestic assistive robots and telepresence systems, with her most cited work — a landmark longitudinal study on telepresence robots for the elderly (2016, 114 citations) — pioneering ecological, real-world evaluation methodologies that moved the field beyond artificial laboratory settings. Tiberio's early work on the ROBOCARE Domestic Environment (2007, 80 citations) explored the psychological implications of cognitive support technologies in the home, establishing a strong empirical foundation for user-centered design in assistive robotics. Her cross-cultural evaluations and contributions to the EU ExCITE project further demonstrate her commitment to rigorous, internationally comparative research. Notably, she has advanced the use of psychophysiological methods to objectively measure emotional responses in human-robot interaction contexts, offering researchers more nuanced tools for assessment. With over 400 cumulative citations, her body of work continues to shape how designers, clinicians, and policymakers approach the ethical and practical deployment of assistive robots in real-world care environments.

Research Focus

Key Achievements

13
H-Index
15
Papers
491
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Long-Term Evaluation of a Telepresence Robot for the Elderly: Methodology and Ecological Case Study
114 citations · 2016
📈 Most Prolific Year: 2007 (3 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: National Research Council, Institute of Cognitive Sciences and Technologies, Roma Tre University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago