Unité pédagogique

AI Practice and Technos - Interacting with humans and real world

Derniere édition le: 22/02/2024

Modifier

Responsable:

NAVARRO Laurent

Description générale :

This module introduces important tools related to human-computer interactions. Human perception is a complex phenomenon that rely on non-linear biological sensors, working in cooperation with the brain. The complexity of the human senses allows us to deal with bad environmental conditions such as crowd noise or illumination variations. In order to interact with humans with efficiency, computers have to mimic these abilities, which implies that they have to take into account the mechanisms involved in the environnement of the interlocutor (ambient noise and light), and the perception mechanisms of humans (sensors and brain parts). 
Topics covered in this course are composed of generalities on modelization of human perception and different tools developed in the last decades: 
-Environment of the interlocutor 
-Principles of human perception 
-Natural language processing 
-Speech recognition 
-Artificial vision 
-Voice synthesis 
At the end of the course, students will have a better understanding of the main challenges of human-computer interactions.

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Nombre d’heures à l’emploi du temps:

15

Domaine(s) ou champs disciplinaires:

Langue d’enseignement:

Anglais

Objectifs d’apprentissage:

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Programme et contenus:

Type d’activité pédagogique :	Contenu, séquencement et organisation
Supervised work	(3h)
Labs	(6h)