Jena Affleck

University of Dundee

Papers

1

Total Citations

3

H-Index

1

About

Jena Affleck is a pioneering researcher at the intersection of human-robot interaction and assistive technology for neurodiverse populations. Her work focuses on developing conversational interfaces that bridge communication gaps for children with Autism Spectrum Disorder (ASD). Her most-cited paper, "A Human-Robot Conversation Interface for Children with ASD" (2023), introduces a novel framework for designing adaptive, socially engaging robots that can interpret and respond to the unique communication patterns of children on the spectrum. This work has already garnered early attention with 3 citations, signaling its potential to shape future interventions in therapeutic robotics. Affleck’s contributions lie in her user-centered approach, emphasizing real-world applicability and emotional resonance in robot design. By integrating natural language processing with behavioral cues, she has advanced the field’s understanding of how robots can serve as non-judgmental, patient interaction partners. Her research not only pushes technical boundaries but also advocates for inclusive technology, making her a rising voice in accessible AI. Affleck’s work promises to transform how we think about companionship and learning tools for children with ASD.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
A Human-Robot Conversation Interface for Children with ASD
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Dundee

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago