Papers

4

Total Citations

37

H-Index

3

About

Tahir Abbas is a researcher at the intersection of human-computer interaction, social robotics, and crowd-powered systems. His primary research focuses on developing innovative approaches to mental health and well-being, particularly through the use of socially assistive robots. Abbas's major contribution is the creation of "Crowd of Oz" (CoZ), a pioneering crowd-powered social robotics system that enables real-time, natural dialogue between a Pepper robot and users by leveraging synchronous crowd workers. This work, with over 24 citations, demonstrates how crowd intelligence can overcome the limitations of fully autonomous robots in therapeutic contexts, such as stress management. His studies also critically examine user privacy and interaction quality in crowd-operated systems, providing valuable insights for the design of ethical and effective human-robot interactions. Abbas's research has been published in top venues like ACM conferences, and his work on CoZ has been recognized for its potential to democratize access to mental health support. By blending crowdsourcing with robotics, he is paving the way for more responsive and empathetic robotic companions.

Research Focus

Key Achievements

3
H-Index
4
Papers
37
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Crowd of Oz: A Crowd-Powered Social Robotics System for Stress Management
24 citations · 2020
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Mirpur University of Science and Technology, Eindhoven University of Technology

Top Papers

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  4. 4
    Crowd of Oz
    3 citations · 2020

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago