Coursebooks 2018-2019

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Quantification of user experience

DH-402

Lecturer(s) :

Boullier Dominique Georges Léon

Language:

English

Summary

The course will deliver all the conceptual and technical resources required for managing a user-centered design process that depends more and more on sophisticated quantification methods.

Content

User experience is the target and the resource of the digital economy: provide new valuable experience, get the feedback from traces and tests, trigger the contribution from online communities and reinvent the product, the service, the content. Digital Humanities provide new attractive user experiences. They also design the sensors, the traces, the tests, the metrics and the concepts for understanding user's behavior. The course will deliver all the conceptual and technical resources required for managing a user-centered design process that depends more and more on sophisticated quantification methods.

 

Content:

Session 1 'Cognitive dimensions of UX':

Perception, cognitive bias, gestalt and attention

 

Session 2 'Semiotics dimensions of UX':

Graphic semiology, maps, and narratology

 

Session 3 'Design processes':

Design strategies and UX

 

 

Session 4 'Feedback of UX':

Psychometrics and tests

 

Session 5 'Quantification in Social Sciences':

Big Data in quantification history (statistics, surveys, polls and social listening):

 

Session 6 'Audience theories, marketing and methods':

Machine learning, a new era

 

Session 7 'History of cognitive technologies and innovations':

Historical landmarks in cognitive technologies

 

Session 8 'History of cognitive technologies and innovations':

History and sociology of innovations (related to content industry and UX)

 

Session 9 'Cultural differences in user experience':

A primer on anthropology and theories of representation

 

Session 10 'Cultural differences in user experience':

Diffusion and appropriation of innovations

 

Session 11 'Social network analysis and web topologies':

Methods

 

Session 12 'Collective engagement in UX':

Online social networks

 

Session 13: Methodological notes and discussion, students present their project

Session 14: General discussion, students present their project

Keywords

quantification; networks; social sciences; opinion; digital architectures; digital methods; traces; memetics; attention economy; smart city.

Learning Prerequisites

Required courses

None

Recommended courses

None

Important concepts to start the course

Attention,  appropriation, public

Learning Outcomes

By the end of the course, the student must be able to:

Transversal skills

Teaching methods

Highly interactive course including readings and reports, debates, design of methods for small projects.

Expected student activities

Readings every week, documentation for case studies, debates during the sessions, small project in teams of 2.

 

Assessment methods

- 40% Final Individual report in the form of an essay about one specific method (20 pages and a technical summary)

- 20% Reading report and presentation

- 40% Final Project in teams of two.

Supervision

Office hours Yes
Assistants Yes
Forum Yes

Resources

Bibliography

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Boullier, Dominique ; LOHARD, Audrey. (2012) Opinion mining et 'Sentiment analysis : Méthodes et outils. Nouvelle édition [en ligne]. Marseille : OpenEdition Press, (généré le 28 juin 2016). Disponible sur Internet : <http://books.openedition.org/oep/198>

Boullier, Dominique, (2016) Sociologie du numérique, Paris, Armand Colin.

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