Manasi Swaminathan

Indiana University Bloomington

Papers

6

Total Citations

76

H-Index

5

About

Manasi Swaminathan is a leading researcher at the intersection of human-robot interaction (HRI) and gerontechnology, dedicated to designing social robots that support the emotional and psychological well-being of older adults. Her work centers on leveraging autonomous conversational agents to facilitate meaningful interactions, with a particular focus on reminiscence, ikigai (sense of purpose), and complex emotional reflection. Swaminathan’s most cited paper, “Spill the Tea” (2023, 32 citations), demonstrates how a QT social robot can engage older adults in short, autonomous conversations to improve well-being. She further explores longitudinal co-design, as seen in “Give it Time” (2024, 11 citations), which examines how repeated sessions scaffold older adults’ learning and participation in robot design. Her contributions also include developing no-code end-user programming interfaces to empower non-experts, and investigating opportune moments for robot interaction. With over 75 total citations and a growing body of work published in top HRI venues, Swaminathan is shaping a future where robots become compassionate, accessible partners in healthy aging.

Research Focus

Key Achievements

5
H-Index
6
Papers
76
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Spill the Tea
32 citations · 2023
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Indiana University Bloomington

Top Papers

  1. 1
    Spill the Tea
    32 citations · 2023
  2. 2
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  4. 4
  5. 5
  6. 6

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago