Uma Prashant Navare
Papers
7
Total Citations
40
H-Index
3
About
Uma Prashant Navare investigates the cognitive and neural mechanisms underlying human-robot interaction, focusing on how people attribute intentionality and agency to artificial agents. Her work bridges social neuroscience and robotics, exploring the sense of joint agency (SoJA)—the shared feeling of control when acting with robots—and the adoption of the Intentional Stance, where humans treat robots as intentional beings. Her most-cited paper (2024, 15 citations) demonstrates that attribution of intentionality modulates SoJA during human-robot joint actions, revealing sensorimotor predictive processes at play. Another key study (2023, 10 citations) shows that type of education influences individuals’ tendency to adopt the Intentional Stance toward robots, as measured by EEG. Navare also identifies theta synchronization as a neural marker for flexibly reusing socio-cognitive mechanisms, such as mentalizing, when interacting with artificial partners (2023, 7 citations). Her work on embodiment and task sharing with the humanoid robot iCub (2022) further highlights how physical interaction increases the likelihood of attributing mental states to robots. With a growing citation impact, Navare’s research provides critical insights into the future of collaborative human-robot relationships.
Research Focus
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Top Papers
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