CPU
CPU Research Themes
Human and Artificial Cognition
On the one hand, our research aims to understand the cognitive, affective and social processes underlying the individual and collective behavior and activities of individuals in situations, in order to model and simulate them computerized. In particular, we need to consider the non-rational part of these processes and its effects (stress, affects, personality).
Multimodal Affective Interaction
Research in this area has two main aims: firstly, to better understand how humans integrate multimodal information displayed by other humans or expressive virtual agents during social interactions, and secondly, to address issues such as the modeling, design and evaluation of new intuitive multimodal interaction devices. The techniques implemented for these studies aim to articulate the work of researchers in Cognitive Psychology with that of researchers in Artificial Intelligence and Machine Learning.
Design and Use
This theme brings together field and laboratory research aimed at gaining a better understanding of how technologies are used, based on theoretical foundations in psychology, ergonomics and professional didactics. Human use of technology is thus analyzed using complementary approaches based on the concepts of “behavior” or “activity”. In other words, the research carried out in this theme aims to produce theoretical and methodological knowledge on the way humans use and appropriate technologies, the processes involved in producing behaviours and finalized human activities.
Modeling Intra- and Inter-Individual Variability
This line of research aims to gain a better understanding of individual characteristics and to consider their variability at both intra- and inter-individual levels. The aim is to study them in the context of non-verbal human-human (HH) interactions, as well as human-machine interactions. This research will enable us to propose new tools for evaluating these characteristics, with a view to helping design and evaluate interactive agents with credible individual characteristics.This line of research aims to gain a better understanding of individual characteristics and to consider their variability at both intra- and inter-individual levels. The aim is to study them in the context of non-verbal human-human (HH) interactions, as well as human-machine interactions. This research will enable us to propose new tools for evaluating these characteristics, with a view to helping design and evaluate interactive agents with credible individual characteristics.