Séverin Lemaignan
Biographic Data
| ID | 5118130 |
|---|---|
| NAME | Séverin Lemaignan |
| GIVEN NAMES | Séverin |
| FAMILY NAME | Lemaignan |
| SIGNATURE | LEMAIGNAN S |
| AFFILIATIONS | University of the West of England |
| ORCID | 0000-0002-3391-8876 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 18 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
From Percepts to Semantics
In social robots, visual attention expresses awareness of the scenario components and dynamics. As in humans, their attention should be driven by a combination of different attention mechanisms. In this article, we introduce multi-modal saliency maps, i.e., spatial representations of saliency that dynamically integrate multiple attention sources depending on the context. We provide the mathematical formulation of the model and an open source soft…
“It’s Important to Think of Pepper as a Teaching Aid or Resource External to the Classroom”
For a period of 3 weeks in June 2021, we embedded a social robot (Softbank Pepper) in a Special Educational Needs (SEN) school for autistic children. The robot’s behaviours and integration into the school were co-designed with the children and teachers, with a focus on improving the well-being of the pupils. Using a mix-method approach, we studied the robot’s adoption over the course of the study, and the impact of the robot’s presence on the chi…
Multi-modal Affect Detection Using Thermal and Optical Imaging in a Gamified Robotic Exercise
Affect recognition, or the ability to detect and interpret emotional states, has the potential to be a valuable tool in the field of healthcare. In particular, it can be useful in gamified therapy, which involves using gaming techniques to motivate and keep the engagement of patients in therapeutic activities. This study aims to examine the accuracy of machine learning models using thermal imaging and action unit data for affect classification in…
The Effectiveness of Dynamically Processed Incremental Descriptions in Human Robot Interaction
We explore the effectiveness of a dynamically processed incremental referring description system using under-specified ambiguous descriptions that are then built upon using linguistic repair statements, which we refer to as a dynamic system. We build a dynamically processed incremental referring description generation system that is able to provide contextual navigational statements to describe an object in a potential real-world situation of nuc…
From characterising three years of HRI to methodology and reporting recommendations
Human-Robot Interaction (HRI) research requires the integration and cooperation of multiple disciplines, technical and social, in order to make progress. In many cases using different motivations, each of these disciplines bring with them different assumptions and methodologies. We assess recent trends in the field of HRI by examining publications in the HRI conference over the past three years (over 100 full papers), and characterise them accord…
Grounding the Interaction
From characterising three years of HRI to methodology and reporting recommendations
Human-Robot Interaction (HRI) research requires the integration and cooperation of multiple disciplines, technical and social, in order to make progress. In many cases using different motivations, each of these disciplines bring with them different assumptions and methodologies. We assess recent trends in the field of HRI by examining publications in the HRI conference over the past three years (over 100 full papers), and characterise them accord…
Grounding the Interaction
From characterising three years of HRI to methodology and reporting recommendations
Human-Robot Interaction (HRI) research requires the integration and cooperation of multiple disciplines, technical and social, in order to make progress. In many cases using different motivations, each of these disciplines bring with them different assumptions and methodologies. We assess recent trends in the field of HRI by examining publications in the HRI conference over the past three years (over 100 full papers), and characterise them accord…
The Effectiveness of Dynamically Processed Incremental Descriptions in Human Robot Interaction
We explore the effectiveness of a dynamically processed incremental referring description system using under-specified ambiguous descriptions that are then built upon using linguistic repair statements, which we refer to as a dynamic system. We build a dynamically processed incremental referring description generation system that is able to provide contextual navigational statements to describe an object in a potential real-world situation of nuc…
“It’s Important to Think of Pepper as a Teaching Aid or Resource External to the Classroom”
For a period of 3 weeks in June 2021, we embedded a social robot (Softbank Pepper) in a Special Educational Needs (SEN) school for autistic children. The robot’s behaviours and integration into the school were co-designed with the children and teachers, with a focus on improving the well-being of the pupils. Using a mix-method approach, we studied the robot’s adoption over the course of the study, and the impact of the robot’s presence on the chi…
Multi-modal Affect Detection Using Thermal and Optical Imaging in a Gamified Robotic Exercise
Affect recognition, or the ability to detect and interpret emotional states, has the potential to be a valuable tool in the field of healthcare. In particular, it can be useful in gamified therapy, which involves using gaming techniques to motivate and keep the engagement of patients in therapeutic activities. This study aims to examine the accuracy of machine learning models using thermal imaging and action unit data for affect classification in…
From Percepts to Semantics
In social robots, visual attention expresses awareness of the scenario components and dynamics. As in humans, their attention should be driven by a combination of different attention mechanisms. In this article, we introduce multi-modal saliency maps, i.e., spatial representations of saliency that dynamically integrate multiple attention sources depending on the context. We provide the mathematical formulation of the model and an open source soft…
Computer Science (6 works) · Artificial Intelligence (5 works) · Robot (5 works) · Psychology (4 works) · Human–computer interaction (3 works) · Programming language (2 works) · Robotics (2 works) · Social Robot Interaction and HRI (2 works) · Speech and dialogue systems (2 works) · Topic Modeling (2 works)