Natalie Parde
Papers
6
Total Citations
108
H-Index
4
About
Natalie Parde is a leading researcher at the intersection of artificial intelligence, human-robot interaction, and rehabilitation science. Her work spans two transformative domains: using AI to enhance participation-focused pediatric rehabilitation for children with disabilities, and developing socially assistive robots that engage vulnerable populations in cognitive enrichment. In her most cited work, a 2021 scoping review (75 citations), Parde systematically mapped how AI can target the participation of children and youth with disabilities in daily life activities—a critical but often overlooked rehabilitation outcome. She has pioneered novel approaches to robot learning, including interactive game-based methods that allow non-experts to teach robots about objects through vision and language (2015, 19 citations). Parde’s creativity shines in her work on human-robot discussions of literary metaphor (2019) and book discussion systems for elderly adults (2018), demonstrating how robots can facilitate cognitive exercise through engaging, natural conversation. Her research uniquely combines technical rigor with deep human-centered design, making her a distinctive voice in socially assistive robotics and inclusive AI.
Research Focus
Key Achievements
Top Papers
- 1
- 2Grounding the meaning of words through vision and interactive gameplay19 citations · 2015
- 3I Spy: An Interactive Game-Based Approach to Multimodal Robot Learning5 citations · 2015
- 4AI Meets Austen: Towards Human-Robot Discussions of Literary Metaphor4 citations · 2019
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- 6