Oded Nov

Papers

Total Citations

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About

Oded Nov is a leading researcher at the intersection of human-computer interaction, citizen science, and rehabilitation technology. His work explores how social dynamics and motivational factors can be harnessed to improve both scientific participation and health outcomes. Nov’s most cited paper, "The Role of Social Interactions in Motor Performance: Feasibility Study Toward Enhanced Motivation in Telerehabilitation" (17 citations), demonstrates how social engagement can boost patient compliance and motor performance in robot-mediated therapy—a critical insight for cost-effective rehabilitation. He also investigates cognitive enhancement through public participation, as in "Spatial memory training in a citizen science context" (12 citations), showing how crowdsourced platforms can double as cognitive training tools. Additionally, his work on "Brooklyn Atlantis" (2 citations) exemplifies his commitment to community-driven environmental monitoring, merging robotics with grassroots engagement. With a career focused on bridging technology, motivation, and real-world impact, Nov’s research offers practical frameworks for designing systems that are both scientifically valuable and personally empowering. His contributions are particularly influential for students and researchers interested in human-centered computing, behavioral interventions, and participatory science.