Tanvi Raghuram
Papers
1
Total Citations
1
H-Index
1
About
Tanvi Raghuram is a pioneering researcher at the intersection of cognitive science, aesthetics, and human-robot interaction. Her work explores how people perceive and engage with art created by non-human agents, particularly robots and AI systems. Her most cited paper, "Dancing robots: aesthetic engagement is shaped by stimulus and knowledge cues to human animacy" (2024, 1 citation), investigates whether cues to an artwork’s human or machine origin influence aesthetic appreciation. This study reveals that both the visual characteristics of a stimulus and prior knowledge about its creator shape viewers’ emotional and cognitive engagement, challenging assumptions about the uniqueness of human artistry. Raghuram’s contributions are foundational to understanding how emerging technologies redefine artistic value and audience experience. Her research has immediate implications for AI ethics, art curation, and the design of socially interactive robots. Though early in her career, her work signals a transformative shift in how we evaluate creativity in an age of intelligent machines.
Research Focus
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Top Papers
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