Laura Fuentes Moraleda

Universidad Rey Juan Carlos

Papers

4

Total Citations

326

H-Index

4

About

Laura Fuentes Moraleda is a leading researcher at the intersection of robotics, artificial intelligence, and the hospitality industry. Her work focuses on understanding how humans interact with service robots in hotels and museums, and how these technologies reshape customer experiences and business outcomes. Her most influential contribution is the development of the hotel-specific Service Robot Acceptance Model (sRAM), published in 2020, which has garnered 211 citations and provides a foundational framework for studying robot adoption in hospitality. She has also pioneered the use of text mining and machine learning to analyze user-generated content from platforms like TripAdvisor, revealing how robot interactions influence customer emotions and hotel ratings. Her 2022 study on this topic, with 71 citations, demonstrates a direct link between robot implementation and overall hotel performance. Further work explores visitor profiles and acceptance of social robots in museums, highlighting her interdisciplinary approach. Fuentes Moraleda’s research is instrumental in guiding the tourism sector’s transition toward Industry 5.0, where human-robot collaboration enhances service quality and customer satisfaction.

Research Focus

Key Achievements

4
H-Index
4
Papers
326
Total Citations
82
Avg Citations/Paper
🏆 Most Cited Paper
Interaction between hotel service robots and humans: A hotel-specific Service Robot Acceptance Model (sRAM)
211 citations · 2020
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Universidad Rey Juan Carlos

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago