Julia Zuschnegg

Medical University of Graz

Papers

10

Total Citations

105

H-Index

5

About

Julia Zuschnegg is an emerging researcher whose work sits at the intersection of assistive robotics, dementia care, and digital health technology. Based primarily at an Austrian research institution, she has built a distinctive body of scholarship focused on how humanoid socially assistive robots (SARs) — particularly the Pepper robot platform — can support people living with dementia and their informal caregivers in real-world home settings rather than controlled laboratory environments. Her most influential contribution is a mixed-methods protocol study (2019, 35 citations) examining how robot-based training compares to tablet-based interventions across psychosocial and physical outcomes. This work laid the groundwork for her landmark AMIGO project, which transformed the Pepper robot into a multimodal cognitive coach combining sensory stimulation with gamified training applications. Zuschnegg has also pioneered qualitative investigation into stakeholder expectations, revealing the nuanced hopes and concerns of nurses, caregivers, and dementia trainers regarding robotic assistance (2021, 23 citations). More recently, her research has expanded into gender-sensitive robotic coaching for patients with depression, reflecting a broadening clinical vision. With a growing citation record exceeding 100 cumulative references, Zuschnegg represents an important voice in evidence-based, human-centered assistive technology research.

Research Focus

Key Achievements

5
H-Index
10
Papers
105
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Effects of a Humanoid Socially Assistive Robot Versus Tablet Training on Psychosocial and Physical Outcomes of Persons With Dementia: Protocol for a Mixed Methods Study
35 citations · 2019
📈 Most Prolific Year: 2021 (3 Papers)
🤝 Key Collaborators: 39
🏛 Institutions: Medical University of Graz

Top Papers

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    AMIGO
    17 citations · 2018
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago