Design et évaluation de prototypes web

Teacher(s)

Kieffer Suzanne;

Language

French

Main themes

• Theoretical frameworks and disciplines for prototyping: (rapid) contextual design, rapid prototyping, cognitive engineering, usability engineering, agile method
• Interrelation between the design and evaluation processes of systems, products, and Web services
• Methodological principles used in prototyping: design and evaluation methods, prototyping techniques, user testing, validity of user tests, data collection
• Specificities of user testing compared to other empirical research methods such as interviewing, observation, laboratory experimentation, A/B testing, etc.

Learning outcomes

At the end of this learning unit, the student is able to :
1	Explain and make connections between the different concepts associated with prototyping.
2	Compare different prototyping techniques in terms of specific objectives, expected results, procedures, constraints (time, resources, budget).
3	Select and sequence several prototyping techniques to produce a web prototype iteratively and incrementally
4	Effectively conduct a series of user tests to improve the Web prototype.
5	Analyze the relevance of the data collected and reorganize if necessary the experimental protocol used in the user tests.
6	Justify and argue the choice of design (prototyping) and evaluation (user testing) methods.

Content

What is prototyping? What is a prototype?
Types of prototype (storyboard, paper prototype, wireframe, coded prototype...)
The prototype in a test-and-refine approach (i.e., iterative and incremental)
Formative user testing (improvement) versus summative user testing (validation)
Data collection, data management and data processing

Teaching methods

The pedagogical approach is blended teaching, which alternates face-to-face classroom teaching with online distance learning via Microsoft Teams. Teaching methods include flipped classroom and project-based learning:

• Flipped classroom: students study or complete an assignment at home and then meet with teachers and peers in a classroom to ask questions, get extra help or work in groups;
• Project-based learning: students develop a project by combining online learning (e.g. watching tutorials or completing assignments) and face-to-face meetings.

Evaluation methods

Continuous assessment without examination in June in two modes: individual and/or group assignments (60% of the final grade) and knowledge tests (40% of the final grade). In September, individual custom assignment due on the first day of the session.

Other information

All relevant information regarding these modalities and the progress of the activities (calendar, detailed instructions, evaluation criteria, etc.) are presented during the first session and are available on Moodle.
Some resources (e.g. bibliographic resources, slides, explanatory videos) are in English.

Online resources

Moodle (asynchronous): course slides, bibliographic resources, calendar, models and rubrics, H5P
exercises, tests, assignments, workshops with peer assessment, group choice, Q&A forum
Microsoft Teams (live): calendar, meetings, documents, discussion, lecture notes
Web links: how-to videos, websites, online software

Bibliography

Arnowitz, J., Arent, M., & Berger, N. (2010). Effective prototyping for software makers. Elsevier.
Coyette, A., Kieffer, S., & Vanderdonckt, J. (2007, September). Multi-fidelity prototyping of user interfaces. In IFIP Conference on Human-Computer Interaction (pp. 150-164). Springer, Berlin, Heidelberg.
Henreaux, E., Noutcha, M., Phan-Ngoc, T., & Suzanne, K. (2021, July). Design Sprints Integrating Agile and Design Thinking: A Case Study in the Automotive Industry. In International Conference on Applied Human Factors and Ergonomics (pp. 189-195). Springer, Cham.
Kieffer, S., Lawson, J. Y. L., & Macq, B. (2009, April). User-centered design and fast prototyping of an ambient assisted living system for elderly people. In 2009 Sixth International Conference on Information Technology: New Generations (pp. 1220-1225). IEEE.
McCurdy, M., Connors, C., Pyrzak, G., Kanefsky, B., & Vera, A. (2006, April). Breaking the fidelity barrier: an examination of our current characterization of prototypes and an example of a mixed-fidelity success. In Proceedings of the SIGCHI conference on Human Factors in computing systems (pp. 1233-1242).
Rukonic, L., Mwange, M. A. P., & Kieffer, S. (2021). UX Design and Evaluation of Warning Alerts for Semi-autonomous Cars with Elderly Drivers. In VISIGRAPP (2: HUCAPP) (pp. 25-36).

Faculty or entity

COMU