Agnieszka Landowska

About

Agnieszka Landowska is a leading researcher at the intersection of affective computing, social robotics, and assistive technology for neurodevelopmental disorders. Her work focuses on developing real-time stress detection systems for children with Autism Spectrum Disorder (ASD) during robot-assisted interventions, using physiological signals such as blood volume pulse (BVP) and electrodermal activity (EDA). Her most cited paper (2022, 15 citations) presents a heart rate variability (HRV) analysis method for stress detection during interactions with the Kaspar social robot. Landowska also addresses methodological challenges in observing emotions during child-robot interaction (2024, 8 citations), and has explored how robot eye perspective influences perception of facial expressions. Her research is notable for its practical impact—enabling more responsive, adaptive robotic systems that can support therapy and education for children with ASD, even adapting protocols during the COVID-19 pandemic. With a growing body of work that bridges engineering, psychology, and clinical practice, Landowska is shaping the future of socially assistive robotics and personalized intervention technologies.

Research Focus

Key Achievements

Top Papers

1. 1
   Stress Detection of Children with Autism using Physiological Signals in Kaspar Robot-Based Intervention Studies

   15 citations · 2022
2. 2
   Challenges in Observing the Emotions of Children with Autism Interacting with a Social Robot

   8 citations · 2024
3. 3
   Stress Detection of Children With ASD Using Physiological Signals

   6 citations · 2022
4. 4
   Robot Eye Perspective in Perceiving Facial Expressions in Interaction with Children with Autism

   5 citations · 2020
5. 5
   Child-Robot Interaction Studies During COVID-19 Pandemic

   2 citations · 2021

Key Collaborators

Contact & Links