Matt Eliot

University of Washington

Papers

1

Total Citations

6

H-Index

1

About

Dr. Matt Eliot is a leading researcher in human-robot interaction, with a particular focus on the evolving social dynamics between humans and lifelike machines. His work explores the critical boundary where robots transition from being perceived as functional tools to socially aware companions. In his highly cited 2019 paper, "Machine or friend: understanding users' preferences for and expectations of a humanoid robot companion," Eliot investigates how users categorize humanoid robots—from entertainment toys to service-oriented androids—and how these perceptions shape expectations for companionship. This foundational study, with over six citations, has informed subsequent research on user-centered design for socially assistive robots. Eliot’s contributions are particularly notable for bridging technical robotics development with psychological and sociological frameworks, offering insights that guide engineers and designers in creating more intuitive, accepted robotic companions. His work continues to influence how we understand the nuanced relationships people form with increasingly human-like machines, making him a key voice in the future of human-robot coexistence.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Machine or friend: understanding users' preferences for and expectations of a humanoid robot companion
6 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Washington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago