Below are materials from the class, organised by week.
2025-26
For this year:
Data
- week 4 survey
- data
- code python
- code R / quarto (results)
- week 4 simulated data
Lecture 4 readings
open-access:
- Callegaro, M., Yang, Y. (2018). The Role of Surveys in the Era of “Big Data”. In: Vannette, D., Krosnick, J. (eds) The Palgrave Handbook of Survey Research . Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-319-54395-6_23
2024-25
Week 1 “introduction to quant UX”
- Quick survey
- googledoc to report teams and topics
- slides
Week 2 “Metrics”
- slides
Week 3 – Analysis of data logs, guest-speaker Ben Davison, Google
Week 4 – Testing
- slides
- tools
- Cursor tracker https://github.com/soheil1lotfi/cursor-tracker
- javascript file with all the surveys https://github.com/pmavros/ses216-quantux. you can adapt this using the jspsych library and run a test in the cognition.run platform.
Week 5 – Guest speaker
Week 6 – Ethics
- slides
- Select one of the following texts to discuss in class:
- Kate Crawford, Atlas of AI (excerpt)
- Jer Thorp, Living in Data (excerpt)
- Gray et al 2018, The Dark (Patterns) Side of UX Design
- Larose and Barron (2017)
Week 7 – group work
Week 8 – final presentations (no slides)
2023-24
Week 1
- slides [main content]
Week 2 – Measuring UX with self-reports
- slides
- code – https://github.com/pmavros/ses216/
- demo – https://lqaunfp7ae.cognition.run [URL will go inactive in a few months]
- analysis code in R
Week 3 – Measuring UX with behavioural and other data
- slides
Week 4 – presentations, no materials
Week 5 – click on links: password = qu4ntitative
- Kate Crawford, Atlas of AI (excerpt)
- Jer Thorp, Living in Data (excerpt)
- Gray et al 2018, The Dark (Patterns) Side of UX Design
- Larose and Barron (2017)
- also
- https://gdpr.eu/what-is-gdpr/
- https://www.deceptive.design/
Week 6 –
- data (task 2)
- chart types – flowdata.com
- slides
- Presentation instructions
- Report instructions
Week 7 – group work, no materials
Week 8 – presentation day, no materials
Presentation instructions
We are 11 teams, and the class is 3hrs = 180 minute / 11 teams ~ 15 minutes per team. Therefore,
- 10 minutes presentation
- 5 minutes discussion and feedback
- There will be timekeeping
The presentation needs to be complete and standalone. Assume this is the first time we hear about your project, so make sure to introduce it. Cover your methods of data collection and analysis. Present both qualitatitve and quantitative data you collected. Aim to have a clear conclusion, recommendation or insight, based on the data that you have (if the data are not clear, then that can be a clear conclusion of itselft).
Report instructions
Individual report
- Short reflective piece (around 500+ words).
- Discuss the key takeaways from the class and from your project
Blogpost (1 per group, mandatory)
- Write-up of your project on the blog,
- 1 person per team to email me for
credentials. - The blog is public.
- Formatting is your responsibility.
- This is a case-study
- Your classmates (next year) will
read this. What you would like to
know about your project if you
were the reader? - Does not have to be too long,
some sections can be condensed
in bullet point (optional). - Include images [of the case-study], figures you produced [e.g. the user-journey] and plots from your data. If you use external sources, make sure to credit them.
Suggested sections – but you can adapt
- Abstract (or exec.summary or TL;DR)
- Case-study description Describe the ‘system’ you analysed. What is it,
what is its purpose, who is its main audience? Add any
information a reader might need to know to understand why
this is an interested case-study, what is unique about it, etc. - Data. What data did you use? What were the sources of the
data you used? Which data were collected by you and
which by others? Were they anonymised? - Methods. How did you collect data from participants? How
did you analyse it? - Results. What did you find?
- Insights and Recommendations. Based on your results
what do you recommend to be done to improve user-experience?