Ritam Ghosh
Papers
5
Total Citations
19
H-Index
3
About
Ritam Ghosh is a researcher whose work sits at the compelling intersection of human-computer interaction, assistive robotics, and cognitive health — with a particular focus on improving the lives of older adults experiencing mild cognitive impairment (MCI) and dementia. His research centers on the design and deployment of socially assistive robots (SARs) in long-term care settings, where he applies rigorous user-centered and iterative design methodologies to ensure technologies are both accessible and meaningful for vulnerable populations. Among his most notable contributions is his work developing robot-mediated paired activities for older adults with MCI, which has garnered 7 citations since 2022, alongside a system architecture framework for human-machine interaction tailored specifically to dementia intervention. He has also made practical contributions to the field through a multimodal data collection and annotation tool designed for human-computer interaction research, reflecting his attention to the infrastructural needs of HCI science. Ghosh's most ambitious project to date is a multi-site randomized clinical trial investigating the efficacy of SARs in engaging cognitively impaired residents in long-term care — a study that signals his transition from design exploration to rigorous clinical validation. His body of work reflects a deeply humanistic approach to technology, prioritizing dignity, engagement, and quality of life.
Research Focus
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Top Papers
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