Course unit

AI Practice and Technos - Interacting with humans and real world

Last updated: 22/02/2024

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Course Director(s):

NAVARRO Laurent

General Description:

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.

Key words:

NLP Perception Speech Recognition Voice Interaction

Number of teaching hours

15

Fields of study

Teaching language

English

Intended learning outcomes

On completion of the unit, the student will be capable of:	Classification level	Priority

Learning assessment methods

Percentage ratio of individual assessment			Percentage ratio of group assessment
Written exam:		%	Project submission:		%
Individual oral exam:		%	Group presentation:		%
Individual presentation:		%	Group practical exercise:		%
Individual practical exercise:		%	Group report:		%
Individual report:		%
Other(s): %

Programme and content

Type of teaching activity	Content, sequencing and organisation
Supervised work	(3h)
Labs	(6h)