Teacher(s)
Language
French
Main themes
· Foundations and definitions of the user experience
· User experience measures
· User experience evaluation methods
· Planning, data analysis and presentation of results
· Integration of the user experience evaluation process into the development of interactive systems
· User experience measures
· User experience evaluation methods
· Planning, data analysis and presentation of results
· Integration of the user experience evaluation process into the development of interactive systems
Learning outcomes
At the end of this learning unit, the student is able to : | |
| 1. | List and define the conceptual elements and metrics of the user experience ; |
| 2. | Distinguish user experience evaluation methods in terms of purpose (goal), objectives (means to reach goal), type of collected data, and deliverables ; |
| 3. | Compare several methods, select the most efficient, argue the choice ; |
| 4. | Plan and conduct the evaluation of an interactive system and propose solutions improving the user experience with this system. |
Evaluation methods
Evaluation is based on continuous assessment, with no examination session.
- Continuous assessment: individual written knowledge test (40%) and project (60%), comprising an individual component (20%) and a group component (40%).
- September session: oral examination. If the project is failed, an individual tailored assignment must also be submitted on the first day of the session.
- Permitted without disclosure: language assistance; exploration and ideation; literature research. References must have been consulted and analyzed by the students and may not be used solely on the basis of a response provided by an AI tool.
- Permitted with disclosure: quantitative and qualitative data analysis; figure generation; generation, correction, or adaptation of computer code (Python, R, etc.). For these uses, students must indicate the tool used and provide a link to the conversation as well as the complete prompts. A non-functional link or a link that does not allow the declared use to be verified will result in a grade of 0 for the work concerned.
- Prohibited: simulation of participants; generation of data instead of actual data collection; and, more generally, any use of AI that would prevent the assessment of the student’s own knowledge, skills, and work process.
Faculty or entity