Mriganka Biswas
Papers
8
Total Citations
85
H-Index
5
About
Mriganka Biswas is a researcher specializing in human-robot interaction (HRI), robotic companionship, and the application of cognitive psychology to robot design. His pioneering work centers on a thought-provoking question: can robots become more relatable and likeable by being deliberately *imperfect*? By embedding human-like cognitive biases — such as misattribution, self-serving bias, and forgetfulness — into robotic behavior, Biswas has explored how these psychological quirks can foster deeper, longer-lasting relationships between humans and robots. His most cited work (31 citations) investigates generational differences in how people prefer to interact with robots, offering valuable insights for designers developing assistive and companion robots for aging populations. His broader body of research, accumulating citations across multiple studies, demonstrates that cognitively "flawed" robots may actually outperform their perfect counterparts in sustaining user engagement over time — a counterintuitive but compelling finding. Using platforms like the humanoid robot MARC, Biswas has conducted systematic case studies that bridge cognitive science and robotics engineering. His work is particularly relevant for researchers and designers working on socially assistive robots, elder care technology, and the emerging field of long-term robotic companionship.
Research Focus
Key Achievements
Top Papers
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