Suman Ojha

University of Technology Sydney

Papers

13

Total Citations

306

H-Index

9

About

Suman Ojha is a multidisciplinary researcher whose work sits at the intersection of human-robot interaction, artificial intelligence, and computational ethics. With a body of research spanning trust, privacy, emotion modeling, and robotic infrastructure, Ojha has made significant contributions to understanding how humans engage with and accept social robots in real-world environments. Among his most influential contributions are investigations into user trust toward robot recommender systems and the role of transparency in human-robot interaction, each garnering around 60 citations. His 2018 work demonstrated that preference elicitation and embodiment meaningfully shape user trust, while his transparency research showed that openness about data collection practices improves user attitudes toward robots. His persuasion research, examining how robots compare to humans and kiosks in recommendation contexts, further established his expertise in social robotics. Ojha has also advanced the technical foundations of robotics through his pioneering work on Fog Robotics — an architecture designed to overcome the bandwidth and security limitations of Cloud Robotics — and explored the ethical dimensions of robot emotion processing across multiple papers. His 2020 thematic review of computational emotion models (34 citations) reflects his sustained commitment to understanding machine affect. Together, his work has shaped conversations on responsible, human-centered robot design.

Research Focus

Key Achievements

9
H-Index
13
Papers
306
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Do You Trust Me, Blindly? Factors Influencing Trust Towards a Robot Recommender System
60 citations · 2018
📈 Most Prolific Year: 2018 (6 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: University of Technology Sydney

Top Papers

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    Fog Robotics: An Introduction
    18 citations · 2017
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago