Papers

2

Total Citations

8

H-Index

2

About

Natalie Jankowski’s research lies at the intersection of rehabilitation robotics, human haptic interaction, and technology acceptance in stroke therapy. Her most notable contribution is the development of the **Bi-Manu-Interact (BMI)**, a novel robotic device designed to facilitate bimanual, haptic interaction during high-intensity, repetitive movement training for stroke survivors. This work, published in 2017, has garnered **6 citations** and is foundational in understanding how robotic assistance can be adapted to a patient’s individual motor abilities to optimize motor learning. Jankowski’s research goes beyond hardware; she is equally concerned with the human factors that determine real-world adoption. In a 2020 pilot study, she investigated **long-term changes in technology acceptance** and user experience of the BMI across ten therapy sessions, tracking shifts in the Technology Acceptance Model (TAM) and user experience metrics. This work, with **2 citations**, provides critical insights into how patients’ perceptions evolve with sustained use—a key factor often overlooked in assistive robotics. By bridging engineering design with longitudinal human factors research, Jankowski is helping to ensure that rehabilitation robots are not only effective but also embraced by the people who need them most.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Let's do this together: Bi-Manu-Interact, a novel device for studying human haptic interactive behavior
6 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Technische Universität Berlin, Humboldt-Universität zu Berlin

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago