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Fiches de cours 2017-2018
Quantification of user experience
DH-402
Enseignant(s) :
Boullier Dominique Georges LéonLangue:
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:
1/ History of cognitive technologies and innovations (session 1 and 2)
a/ Historical landmarks in cognitive technologies
Goody: writing
Eisenstein: printing
Panofsky and Alpers: perspective
b/ History and sociology of innovations
(related to content industry and UX)
Telecoms, computer interfaces, internet, photography, music. Technical evolution and business models
2/ Cultural differences in user experience (session 3 and 4)
a/ A primer on anthropology and theories of representation
Descola (four ontologies)
Translation : linguistic and cultural stakes and theories
Digital experience around the world (the phone as the universal device or not?)
Culturonomics ( Manovich)
b/ Sociotechnical analysis of innovations and appropriation processes
Theory of diffusion (Rogers)
Appropriation and reinvention : case studies and strategies
Generation gap: learning by immersion, imitation and training, primer and secondary socialization processes.
3/Cognitive and semiotics dimensions of UX (session 5 and 6)
a/ Perception, memory and attention
Perception: salience, features
Gestalt theory
Learning processes
Problem solving and decision theories
Distributed cognition approaches (Suchman, Hutchins)
Human-Machine Interaction theories and methods
Attention economy
b/ Semiotics
Index, symbol, sign (Peirce)
Structural semiotics (Greimas) and narratology
Graphic semiology (Bertin)
Data viz issues and concepts (tables, timelines, maps, and dashboards)
4/ Quantification and feedback of UX (session 7, 8 and 9)
a/ Big Data in quantification history: statistics, surveys, polls and social listening. (Desrosières)
Propagation and memetics metrics (Kleinberg, Leskovec)
b/ Audience theories, design and methods
Media theory (Mc Luhan)
The phantom public (Lippmann)
Two-step flow (Katz Lazarsfeld) and influence
From panels and focus groups to social listening
c/ Psychometrics and tests
Natively digital traces, on line/ offline and mixed methods (consumer journeys).
Individual testing of cognitive activity: eye-tracking and other body sensors
Mechanical turk methods for testing
UX modeling: Subjective evaluation
5/ Collective engagement in UX (session 10 and 11)
a/ Principles
Contributions, exchanges and crowdsourcing as part of UX (comments, annotations, controversies) (boyd)
Wikipedia's political and cognitive processes (Cardon)
Distributed architectures at technical and cultural levels (Musiani)
Ecology of UX in public spaces: publics and crowds, events design.
b/ Methods
Digital Methods (Rogers and Marres)
Community management : theory and techniques
Social Network Analysis (from reputation to multiplexed engagements) (Watts, Granovetter, Burke)
Quantified self and other communities
6/ Design methods (session 12 and 13)
a/ User modeling (from Eco to Norman)
Learn how to better differentiate (and combine) interface design, interaction design, information design
b/ User centered design (quantification and feedback data in the loop).
Testing methodologies (protocols and principles of validation)
Presentations and general discussion (session 14)
Keywords
quantification; networks; social sciences; opinion; digital architectures; digital methods; traces; memetics; attention economy; snart 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:- Create a user model
- Make a user model by combining data sources
- Design usability tests protocols
- Plan content evolution
- Develop specific metrics
- Elaborate the relevant interpretation of the results
Transversal skills
- Use a work methodology appropriate to the task.
- Give feedback (critique) in an appropriate fashion.
- Take account of the social and human dimensions of the engineering profession.
- Demonstrate the capacity for critical thinking
- Summarize an article or a technical report.
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 by team 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
Benkler Yochai, The Wealth of Networks: How Social Production Transforms Markets and Freedom (Yale Press 2006).
BOULLIER, Dominique ; LOHARD, Audrey. Opinion mining et 'Sentiment analysis : Méthodes et outils. Nouvelle édition [en ligne]. Marseille : OpenEdition Press, 2012 (généré le 28 juin 2016). Disponible sur Internet : <http://books.openedition.org/oep/198>
Boullier, Dominique, Sociologie du numérique, Paris, Armand Colin, 2016.
Boullier, Dominique, Big data challenges for the social sciences: from society and opinion to replications, Working Paper, Social Media Lab EPFL, May 2016 , to be published in Big Data and Society. https://arxiv.org/abs/1607.05034
Bourdieu P. (1984). Public Opinion Does Not Exist. In A. Mattelart and S. Siegelaub (Eds.) Communication and Class Struggle. New York: International General.
Bowker G. & Leigh Star S. (1999). Sorting Things Out: Classification and its Consequences. Cambridge: MIT Press.
Bowker G. (2014). The Theory/Data Thing. Commentary, International Journal of Communication 8, 1795'1799.
Bowker Geof and Star, Susan Leigh, Sorting Things Out: Classification and Its Consequences. Geoffrey C. Bowker and Susan Leigh Star. Cambridge, MA: MIT Press, 1999. 377 pp
Boyd danah (2014). It's Complicated: The Social Lives of Networked Teens. New Haven: Yale University Press.
boyd, danah and Kate Crawford. (2012). 'Critical Questions for Big Data: Provocations for a Cultural, Technological, and Scholarly Phenomenon.' Information, Communication, & Society 15:5, p. 662-679.
Callon Michel et Bruno Latour, « Unscrewing the Big Leviathan : How Actors Macrostructure Reality and How Sociologists Help Them To Do So », in Karin D. Knorr Cetina et Aaron V. Cicourel (dir.), Advances in Social Theory and Methodology : Toward an Integration of Micro- and Macro-Sociologies, Boston, Routledge and Kegan Paul, 1981, p 277-303
Callon M., Law J., Rip A. (1986). Qualitative Scientometrics. In Callon M., Law J., Rip A., (Ed.). Mapping the Dynamics of Science and Technology. (pp.103-123), London: Macmillan,
Cardon, Dominique, À quoi rêvent les algorithmes. Nos vies à l'heure des Big Data, Paris, Seuil, 2015
Cardon, Dominique, La démocratie internet. Promesses et limites, Paris, Seuil, 2010
Desrosières, Alain (1998). The politics of large numbers : a history of statistical reasoning. Cambridge, Mass: Harvard University Press
Didier, Emmanuel (2009) En quoi consiste l'Amérique ? Les statistiques, le New Deal et la Démocratie, Paris, La Découverte
Didier, Emmanuel, 'Sampling and Democracy: Representativeness in the First United States Surveys', Science in Context, 15 (3), pp. 427-445, 2002
Didier, Emmanuel, 2013 "Cunning observation: US Agricultural Statistics in the Time of Laissez-Faire", in History of Political Economy, HOPE Annual Supplement on Observation.
Eisenstein, E. (1983). The Printing Revolution in Early Modern Europe. Cambridge: Cambridge University Press.
John Law, Evelyn Ruppert and Mike Savage (2011), 'The Double Social Life of Methods', CRESC Working Paper 95.
Katz E. And Lazarsfeld P. (1955). Personal Influence: The Part Played by the People in the Flow of Mass Communication. Glencoe: Free Press.
Kleinberg J., D. Gibson, P. Raghavan (1998). Inferring Web Communities from Link Topology. In Proc. Of The 9th ACM Conference on Hypertext and Hypermedia (Hyper-98), (pp. 225'234), New York, June 20-24.
Kleinberg, J. (2002). Bursty and Hierarchical Structure in Streams, Proc. 8th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining.
Latour B., Jensen B., Venturini T., Grauwin S., Boullier D. (2012). The Whole Is Always Smaller Than Its Parts. A Digital Test Of Gabriel Tarde's Monads. British Journal Of Sociology, Volume 63, Issue 4, (Pp. 590'615).
Latour, Bruno (1995). The'pedofil'of Boa Vista: a photo-philosophical montage. Common Knowledge, 4 (1):144-187.
Leskovec J., L. Backstrom, J. Kleinberg (2009). Meme-Tracking and the dynamics of the news cycle. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Lessig, Lawrence, Code v.2, to be downloaded at http://codev2.cc/
Mackenzie, A. and Vurdubakis, T. (2011) `Codes and codings in crisis: signification, performativity and excess', Theory, Culture & Society 28(6): 3'23.
Manovich,Lev The Science of Culture? Social Computing, Digital Humanities, and Cultural Analytics, http://manovich.net/content/04-projects/086-cultural-analytics-social-computing/cultural_analytics_article_final.pdf
Manovich,Lev, Software Takes Command, New York: Bloomsbury Academic, 2013.
Marres, N. (2007) The issues deserve more credit pragmatist contributions to the study of public involvement in controversy, Social Studies of Science 37 (5), 759-780
Marres, N. (2015) "Why Map Issues? On Controversy as a Digital Method." Science, Technology & Human Values 40: 655-686
Marres, N. (2017) Digital Sociology, Cambridge, Polity.
MOROZOV, E. (2013) To Save Everything, Click Here: Technology, Solutionism, and the Urge to Fix Problems that Don't Exist, Allen Lane.
Pentland A. (2014). Social Physics. How Good Ideas Spread. The Lessons From a New Science, Penguin Press.
Rogers, R. A. Digital Methods. Boston. MA: The MIT Press., 2013.
Ruppert, Evelyn, Law, John and Savage, Mike. (2013) Reassembling Social Science Methods: the challenge of digital devices, Theory, Culture & Society, 30(4), pp. 22-46.
Schelling Thomas C. (1971). "Dynamic Models of Segregation," Journal of Mathematical Sociology, 1(2), pp. 143'186.
Shifman, Limor, Memes in Digital Culture, MIT Press, 2014
Tarde, G. (1903) The Laws of Imitation, translated by E.C. Parsons with introduction by F.Giddings, New York, Henry, Holt and Co.
Watts D.J. and P.S. Dodds, Influentials, networks, and public opinion formation, in Journal of Consumer Research, vol. 34, no. 4, pp. 441'458, JSTOR, 2007.
Ressources en bibliothèque
- The wealth of networks : how social production transforms markets and freedom / Yochai Benkler
- Opinion mining et sentiment analysis / Dominique Boullier, Audrey Lohard
- Sociologie du numérique / Dominique Boullier
- Sorting things out : classification and its consequences / Geoffrey C. Bowker, Susan Leigh Star
- It's complicated : the social lives of networked teens / Danah Boyd
- Mapping the dynamics of science and technology : sociology of science in the real world / ed. by Michel Callon ... [et al.]
- A quoi rêvent les algorithmes : nos vies à l'heure des Big Data / Dominique Cardon
- La démocratie Internet : promesses et limites / Dominique Cardon
- En quoi consiste l'Amérique? : les statistiques, le New Deal et la démocratie / Emmanuel Didier
- La révolution de l'imprimé à l'aube de l'Europe moderne / Elizabeth L. Eisenstein; trad. de l'anglais par Maud Sissung ... [et al.]
- Personal influence : the part played by people in the flow of mass communications / Elihu Katz & Paul F. Lazarsfeld
- Digital sociology : the reinvention of social research / Noortje Marres
- To save everything, click here : technology, solutionism, and the urge to fix problems that don't exist / Evgeny Morozov
- Social physics : how good ideas spread : the lessons from a new science / Alex Pentland
- Digital methods / Richard Rogers
- Memes in digital culture / Limor Shifman
- Les lois de l'imitation / Gabriel Tarde
Websites
Videos
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- SemestreAutomne
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- Crédits
5 - Matière examinée
Quantification of user experience - Cours
3 Heure(s) hebdo x 14 semaines - TP
2 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenPendant le semestre
- Crédits
5 - Matière examinée
Quantification of user experience - Cours
3 Heure(s) hebdo x 14 semaines - TP
2 Heure(s) hebdo x 14 semaines
- Semestre
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