Sevgi Nur Bilgin Aktas
Papers
2
Total Citations
10
H-Index
2
About
Sevgi Nur Bilgin Aktas is a pioneering researcher at the intersection of affective computing, human-robot interaction, and developmental robotics, with a specialized focus on autism spectrum disorder (ASD). Her work centers on leveraging physiological signals—such as electrodermal activity (EDA) and blood volume pulse (BVP)—to decode emotional and stress states in children with ASD during social interactions. In her highly cited 2022 study, she proposed a novel stress detection framework using wearable sensors (E4 smart wristband) for real-time monitoring during assistive robot interventions, achieving 6 citations for its translational potential in adaptive robotics. Expanding this work, her 2023 cross-cultural investigation analyzed physiological features across age groups in four countries during child-robot interactions with the KASPAR humanoid robot, contributing 4 citations for its insights into developmental variability. Her contributions are vital for designing responsive, empathetic social robots that can adapt to children’s affective states, directly impacting assistive technology for neurodiverse populations. Aktas’s research bridges engineering, psychology, and clinical practice, offering scalable solutions for stress-aware robotic systems. Her work is increasingly recognized for its potential to personalize therapeutic interventions and improve quality of life for children with ASD.
Research Focus
Key Achievements
Top Papers
- 1Stress Detection of Children With ASD Using Physiological Signals6 citations · 2022
- 2