Salima Hassas

Université Claude Bernard Lyon 1, Laboratoire d'Informatique en Images et Systèmes d'Information

Papers

Total Citations

H-Index

About

Salima Hassas is a pioneering researcher at the intersection of artificial intelligence, multi-agent systems, and human-robot interaction. Her work fundamentally explores how autonomous systems can self-organize and how robots can meaningfully engage with humans. In her highly cited 2019 paper, "The RoPE Scale: a Measure of How Empathic a Robot is Perceived" (30 citations), Hassas addresses a critical gap in social robotics by developing a validated metric to quantify how empathic a robot appears to human users—a foundational tool for creating more acceptable and effective robotic companions. Her earlier landmark survey, "Self-Organising Applications: A Survey" (15 citations), provides a comprehensive framework for understanding how systems can dynamically adapt their structure in response to environmental changes, spanning multi-agent systems, collective robotics, and neural networks. This work has been instrumental in shaping approaches to decentralized, adaptive computing. Through her research, Hassas has made lasting contributions to making autonomous systems both more intelligent and more socially attuned, bridging technical self-organization with the nuanced demands of human-robot empathy.