Papers
26
Total Citations
9,623
H-Index
18
About
Deb Roy is a pioneering researcher at the intersection of computational linguistics, cognitive science, and human-robot interaction, with seminal contributions to grounded language acquisition and the study of information diffusion in social media. His foundational work on grounding language in perception and action — exploring how words and sentences connect to sensory-motor experience — laid critical groundwork for building robots capable of understanding and engaging in natural human communication. Through projects involving conversational robots and grounded situation models, Roy developed computational frameworks enabling machines to link spoken language to visual and physical contexts, advancing the field of natural language processing for robotics. Roy's research on natural language directions for robots demonstrated how unconstrained human speech could be mapped to actionable robotic understanding, a milestone in human-robot collaboration. His grounded spoken language acquisition experiments offered novel insights into how machines might mirror human word-learning processes. Perhaps his most widely recognized contribution is the landmark 2018 study on the spread of true and false news on Twitter — co-authored with MIT colleagues — which amassed an extraordinary 8,310 citations. Analyzing 126,000 stories shared by three million users, this work revealed that falsehoods spread faster and farther than truth online, profoundly shaping public discourse, policy debates, and misinformation research worldwide.
Research Focus
Key Achievements
Top Papers
- 1The spread of true and false news online8,310 citations · 2018
- 2Semiotic schemas: A framework for grounding language in action and perception220 citations · 2005
- 3Grounding words in perception and action: computational insights161 citations · 2005
- 4Mental Imagery for a Conversational Robot117 citations · 2004
- 5Toward understanding natural language directions110 citations · 2010
- 6Grounded Situation Models for Robots: Where words and percepts meet103 citations · 2006
- 7Toward understanding natural language directions98 citations · 2010
- 8Grounded spoken language acquisition: experiments in word learning83 citations · 2003
- 9Learning visually grounded words and syntax of natural spoken language44 citations · 2001
- 10Grounding Verbs of Motion in Natural Language Commands to Robots42 citations · 2012