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The CHArt-Lutin Laboratory
is specialized

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in everything that has to do
with the user experience

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and the use of digital technologies,

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for example, screens, or TV programs.

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And the user experience for
purely ergonomic aspects,

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namely the acceptability

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of some products,

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some interfaces, for example,

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or their usefulness,

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their usability.
The added value of the lab

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is going to be essentially

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about this user experience,

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this expertise in the investigation

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of their expectations, of their needs.

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The goal is also to get designers

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to talk to users.

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The objectives of the CHArt-Lutin
Laboratory are essentially,

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on the ROSETTA project,

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the evaluation of the quality
of the produced modules

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of subtitles and LSF.

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So we are going to intervene
on two great aspects, I'd say.

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On the aspects of usefulness,
usability, acceptability.

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And other rather psychological aspects,

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where, in pure cognition,
we are going to be interested

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in the perception of certain interfaces

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or aspects of language

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like understanding
in a digital reading situation.

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These elements articulate quite simply
at the level of the project,

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because we get
to develop methods and tools,

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particularly qualitative analysis methods

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like brainstorming
or focus group

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that are set up with one of our partners

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on the project, where we get
to meet users

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on the basis of these methods
developed upstream,

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to ask them very specific questions.

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Our work is going to be
to design these methods,

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to define these tools upstream
and then be able to meet

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the users based on the questions
that we are asking ourselves

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and based on the evaluations
that we are supposed to be conducting.

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We can also have testing situations,
if for example,

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consortium partners,
as part of the ROSETTA project,

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demand information
on the level of understanding,

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"understandability" of the subtitles
generated by the modules

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or LSF performed by the avatar.

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Then, we will be able
to set up cognitive technologies

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and experimental situations

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with users through a digital tool,
trying to track the eye

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with eye-tracking modules, for example,

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where we are going to be able to see
how users

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read subtitles on the screen
or look for information

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on the avatar when it signs.

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SYSTRAN