Mahsa Soufineyestani

University of Minnesota, Duluth

Papers

3

Total Citations

27

H-Index

2

About

Mahsa Soufineyestani is a researcher at the forefront of human-robot interaction, with a focused expertise in assistive robotics for aging populations and dementia care. Her work addresses a critical global challenge: the rapid growth of the elderly demographic, projected to reach 16% of the world population by 2050. Soufineyestani’s most cited paper, "Assistive Robots Designed for Elderly Care and Caregivers" (2021, 16 citations), provides a foundational review of how robotic systems can alleviate the health burdens of an aging society. She further explores therapeutic applications in "Use of Humanoid Robot in Dementia Care: A Literature Review" (2021, 9 citations), examining how robots can mitigate cognitive decline and improve quality of life for dementia patients. Her innovative approach extends to understanding human responses to technology, as demonstrated in "Physiological and Psychological Reactions to a Musician, Robot, or Boombox Music Player" (2021), where she uses EEG, heart rate variability, and skin conductance to compare emotional and physiological reactions. By integrating robotics with psychological and physiological measurement, Soufineyestani is shaping how we design empathetic, effective assistive technologies for vulnerable populations.

Research Focus

Key Achievements

2
H-Index
3
Papers
27
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Assistive Robots Designed for Eldery Care and Caregivers
16 citations · 2021
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Minnesota, Duluth

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago