Shivam Mehta
Papers
1
Total Citations
5
H-Index
1
About
Shivam Mehta investigates the intersection of human-robot interaction (HRI) and social perception, focusing on how stereotypes—particularly those tied to nationality and appearance—shape our expectations of robots. His most cited work, "Stereotypical nationality representations in HRI: perspectives from international young adults" (2023, 5 citations), challenges the assumption that human-like robots are neutral, revealing that visual and vocal cues can trigger nationality-based biases, such as accent or skin tone, influencing user trust and engagement. This research is vital for designing inclusive robots that avoid reinforcing harmful stereotypes. Mehta’s contributions extend to exploring how cultural diversity affects technology acceptance, with implications for global robotics deployment. Though his citation count is early-stage, his work is gaining traction in HRI and ethics circles, often presented at conferences like IEEE RO-MAN. By centering underrepresented perspectives, Mehta is shaping a more equitable future for human-robot collaboration, urging developers to consider the social baggage robots carry.
Research Focus
Key Achievements
Top Papers
- 1