Cheryl Abellanoza
Papers
1
Total Citations
10
H-Index
1
About
Cheryl Abellanoza is a pioneering researcher at the intersection of human-robot interaction, assistive technology, and cognitive health. Her work focuses on developing adaptive, intelligent systems to support aging populations, particularly individuals living with dementia. Her most cited paper, "Interactive Learning and Adaptation for Robot Assisted Therapy for People with Dementia" (2016, 10 citations), introduces a groundbreaking adaptive cognitive music game that uses Reinforcement Learning to monitor and improve user attention levels. By creating a customized protocol that responds to each individual’s needs and preferences, Abellanoza’s research demonstrates how robots can move beyond static programming to become dynamic, responsive therapeutic partners. This work has laid a foundation for more personalized, non-pharmacological interventions in dementia care, highlighting the potential of AI-driven robotics to enhance quality of life. Her contributions are especially notable for their human-centered design, bridging engineering with clinical application. As the field of socially assistive robotics grows, Abellanoza’s research remains a key reference for scholars and practitioners seeking to build empathetic, adaptive technologies for vulnerable populations.
Research Focus
Key Achievements
Top Papers
- 1