Papers

3

Total Citations

41

H-Index

3

About

Lauren Dwyer is a leading voice at the intersection of human-machine communication, social robotics, and healthcare innovation. Her research focuses on designing and deploying artificially intelligent systems to address critical societal challenges, particularly in pediatric care and social connection. Dwyer’s most impactful work includes the co-design of a social robot to distract children during painful medical procedures in the emergency department (2023, 17 citations), demonstrating a novel, patient-centered approach to integrating robotics into clinical settings. She also authored a foundational paper on the challenges of interdisciplinary collaboration in AI and social robotics (2022, 20 citations), providing a framework for researchers navigating complex, cross-sector projects. Her recent perspective on Canadian loneliness and digital communication (2024, 4 citations) explores how technology can foster meaningful connection, bridging experiential and isolation-based loneliness. With over 40 citations across her key works, Dwyer is shaping how robots and AI can serve vulnerable populations, from distressed children to socially isolated adults. Her achievements highlight a commitment to ethical, human-centered design and translational research that moves from lab to real-world impact.

Research Focus

Key Achievements

3
H-Index
3
Papers
41
Total Citations
14
Avg Citations/Paper
🏆 Most Cited Paper
Systems of collaboration: challenges and solutions for interdisciplinary research in AI and social robotics
20 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Toronto Metropolitan University, Mount Royal University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago