Sarwar Hussain Paplu
Papers
10
Total Citations
60
H-Index
5
About
Sarwar Hussain Paplu is a researcher specializing in human-robot interaction (HRI), social robotics, and affective computing, with a particular focus on making robotic systems more intelligent, adaptive, and naturalistic in their engagement with humans. His most influential work explores automatic personality trait assessment — including extroversion-introversion detection — as a foundation for more responsive robotic behavior, earning 14 citations and establishing him as an early contributor to personality-aware HRI. Paplu has systematically expanded this vision across multiple modalities, investigating how paralinguistic cues in speech, text sentiment, semantic and contextual information, and multimodal perceptual signals can collectively shape robot behavior in real time. His research on pseudo-randomization in automating robot behavior and long-term memory systems further demonstrates his commitment to creating more human-like, personalized interactions. Notably, he has also examined less conventional factors in HRI, such as robot dressing style preferences among university students, reflecting a broad, human-centered perspective. With over 60 cumulative citations across a decade of work, Paplu's contributions provide a valuable roadmap for researchers and students seeking to build socially competent, context-aware robotic systems.
Research Focus
Key Achievements
Top Papers
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- 4Adapting Behaviour of Socially Interactive Robot Based on Text Sentiment8 citations · 2021
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- 6Multimodal Perceptual Cues for Context-Aware Human-Robot Interaction4 citations · 2023
- 7Harnessing Long-term Memory for Personalized Human-Robot Interactions3 citations · 2022
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