Papers
9
Total Citations
53
H-Index
4
About
Ashita Ashok is a rising researcher at the forefront of human-robot interaction (HRI), with a focus on making social robots more emotionally intelligent, context-aware, and educationally useful. Her work bridges robotics, psychology, and natural language processing, exploring how robots can perceive, express, and adapt to human emotions and social cues. Her most cited study (17 citations) investigates the uncanny valley phenomenon using the humanoid robot Ameca, revealing how appearance, emotion, and interaction skills shape user comfort. She has also pioneered the use of paralinguistic speech cues (10 citations) to enable robots to adjust their behavior in real time. More recently, Ashok has been a leader in integrating large language models (LLMs) into social robots for education, showing in two 2025 studies (6 citations each) that LLM-powered robots can reduce language-learning anxiety and sustain multi-session, open-domain conversations with university students. Her work on multimodal perception, personality assessment, and even robot dressing style demonstrates a comprehensive approach to designing robots that feel less like machines and more like social partners. With over 50 total citations and a growing portfolio of empirical studies, Ashok is shaping how next-generation robots will learn, empathize, and collaborate with people in real-world settings.
Research Focus
Key Achievements
Top Papers
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- 5Multimodal Perceptual Cues for Context-Aware Human-Robot Interaction4 citations · 2023
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- 9University CopyCat Game: Observational Learning with Robot Tutee2 citations · 2024