Maitreyee Tewari

Umeå University

Papers

3

Total Citations

24

H-Index

3

About

Maitreyee Tewari is a leading voice in human-robot interaction, specializing in how people of all ages communicate with socially intelligent robots—particularly in assistive living contexts. Her research centers on the critical moments when human-robot dialogues break down, whether from knowledge gaps, sudden topic shifts, or conflicting intentions. Tewari’s most cited work, “Expecting, understanding, relating, and interacting” (2022, 16 citations), provides a foundational framework by comparing how older, middle-aged, and younger adults perceive and navigate these breakdown situations in home environments. She further advances the field by exploring how humans and robots can form shared “We-intentions” during joint activities—a novel theoretical contribution that addresses the deep challenge of maintaining collaborative goals when conflicts arise. Her earlier work (2018) introduced an innovative dialogue modelling approach using expectation mechanisms to manage flexible conversation flows, including topic changes and clarifications. Tewari’s research is vital for designing robots that can genuinely understand and adapt to human partners, with direct applications in assisted living and eldercare. Her interdisciplinary approach, blending cognitive science, linguistics, and robotics, positions her as a key thinker shaping the future of empathetic, socially aware AI.

Research Focus

Key Achievements

3
H-Index
3
Papers
24
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Expecting, understanding, relating, and interacting-older, middle-aged and younger adults’ perspectives on breakdown situations in human–robot dialogues
16 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Umeå University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago