Emilyann Nault
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
Top Papers
- 1
- 2Auditory and Haptic Feedback in a Socially Assistive Robot Memory Game10 citations · 2020
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- 4