Naziatul Husna Susanto
Papers
1
Total Citations
3
H-Index
1
About
Naziatul Husna Susanto is a researcher at the forefront of socially assistive robotics, with a focused interest in human-robot interaction and affective computing. Her work centers on developing intelligent robotic systems that can recognize and respond to human emotions, particularly for therapeutic applications. Her most cited paper, "The Speech Recognition Approaches for Emotion Regulation in Socially Assistive Robot" (2024, 3 citations), introduces a novel framework for integrating speech-based emotion recognition into socially assistive robots designed to support children with autism. In this work, she proposes embedding Applied Behavioral Analysis (ABA) therapy protocols into robotic systems, enabling robots to detect emotional states through vocal cues and deliver tailored, real-time interventions. This contribution bridges the gap between speech processing and therapeutic robotics, offering a scalable tool for emotion regulation in clinical and educational settings. Susanto’s research holds significant promise for enhancing the quality of life for neurodiverse individuals, demonstrating how technology can be harnessed for compassionate, personalized care. Her emerging citation record reflects growing interest in her innovative approach to combining artificial intelligence with evidence-based therapeutic practices.
Research Focus
Key Achievements
Top Papers
- 1