Maayan Stein

Ben-Gurion University of the Negev

Papers

3

Total Citations

57

H-Index

2

About

Maayan Stein is a researcher whose work sits at the compelling intersection of human-robot interaction, aging, and rehabilitation technology. Her scholarship addresses a critical gap in the field: understanding how different age groups engage with humanoid robots, particularly as these technologies become increasingly deployed in care settings for older adults, including stroke patients and individuals living with dementia. Stein's most recognized contribution is her qualitative usability research examining the distinct preferences and interaction patterns of young versus older adults when engaging with humanoid robots. Published in 2018, this line of inquiry has accumulated over 55 citations across multiple publications, reflecting strong scholarly interest in her findings. Her work is particularly valuable for rehabilitation contexts, where tailoring robot-human interaction design to the needs of older users can meaningfully influence therapeutic outcomes. By bringing a user-centered, qualitative lens to a field often dominated by technical perspectives, Stein has helped bridge engineering and human factors research. Her contributions offer practical guidance for designers and clinicians seeking to make humanoid robots more accessible and effective for aging populations — a challenge that will only grow in urgency as demographics shift globally.

Research Focus

Key Achievements

2
H-Index
3
Papers
57
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Differences between young and old users when interacting with a humanoid robot: a qualitative usability study
40 citations · 2018
📈 Most Prolific Year: 2018 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Ben-Gurion University of the Negev

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago