Emilyann Nault

Heriot-Watt University, University of Edinburgh

Papers

4

Total Citations

35

H-Index

3

About

Emilyann Nault is a pioneering researcher at the intersection of human-robot interaction and cognitive health, specializing in socially assistive robotics (SAR) for older adult populations. Her work focuses on designing robotic systems that integrate augmented sensory feedback—particularly auditory and haptic cues—to enhance engagement in cognitive training activities. Nault’s major contributions include participatory design workshops that adapt memory games for SAR platforms, demonstrating how multimodal feedback can motivate older adults to sustain cognitive exercises, potentially slowing age-related decline. Her most-cited paper (16 citations) presents a prototype evaluation of SAR-integrated cognitive activities, while her 2020 study on auditory and haptic feedback in a memory game (10 citations) established foundational design principles for accessible robotic interfaces. Notably, her 2023 work explores SAR transparency and autonomous decision-making, addressing ethical dimensions of robots as decision-makers in care contexts. With a growing citation record and a focus on usability and motivation, Nault’s research bridges engineering, gerontology, and ethics, offering practical pathways for deploying robots in aging populations. Her achievements highlight a commitment to inclusive, user-centered design that empowers older adults through technology.

Research Focus

Key Achievements

3
H-Index
4
Papers
35
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Socially Assistive Robots and Sensory Feedback for Engaging Older Adults in Cognitive Activities
16 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Heriot-Watt University, University of Edinburgh

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago