Sevgi Nur Bilgin Aktas

Istanbul Technical University

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

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Stress Detection of Children With ASD Using Physiological Signals
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Istanbul Technical University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago