Kavish Bhatia

Papers

Total Citations

H-Index

About

Kavish Bhatia is an emerging researcher specializing in human-robot interaction, with a particular focus on the psychology of trust between humans and robotic systems. His work addresses a critical challenge in the field: as robots become increasingly sophisticated and integrated into everyday environments, understanding the conditions under which humans develop and extend trust to these machines becomes essential for effective cooperation. Bhatia's most notable contributions center on the innovative application of the Investment Game — a paradigm traditionally used in behavioral economics — to measure and explore human-robot trust dynamics. His 2021 paper, "An Immersive Investment Game to Study Human-Robot Trust," has garnered 22 citations, while his closely related 2020 work attracted 11 citations, reflecting growing scholarly interest in his methodology. Together, these studies demonstrate his commitment to developing more nuanced, ecologically valid experimental scenarios that account for the multiple environmental and social factors shaping trust formation. By bridging behavioral science and robotics research, Bhatia has helped push the field beyond simplistic trust measurements toward richer, more realistic frameworks. His research is particularly valuable for students and practitioners working at the intersection of cognitive science, social robotics, and human-computer interaction.