Abdelmadjid Zidani
Papers
2
Total Citations
12
H-Index
2
About
Abdelmadjid Zidani is a researcher at the forefront of Human-Robot Interaction (HRI), with a focused expertise in engineering social and emotional intelligence for robotic systems. His work bridges the gap between classical Human-Computer Interaction (HCI) principles and the emerging challenges of Human-Robot Social Interaction, aiming to make robots more intuitive and responsive partners. Zidani’s major contribution lies in adapting established psychological frameworks—specifically Norman’s theory of human action—to equip robots with emotional capacities that improve their social engagement with people. His seminal 2013 paper on this adaptation has garnered 7 citations, while his subsequent 2014 work, which systematically introduces HCI methodologies into the HRI domain, has received 5 citations. These foundational studies are essential reading for students and researchers seeking to understand the theoretical underpinnings of socially aware robotics. By proposing concrete directives for enhancing robot social behavior, Zidani’s research provides a critical roadmap for developing machines that can interact with humans not just as tools, but as social partners.
Research Focus
Key Achievements
Top Papers
- 1Adaptation of action theory for Human-robot social interaction7 citations · 2013
- 2From Human-Computer Interaction to Human-Robot Social Interaction5 citations · 2014