193.055 User Research Methods
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to...

  1. Name the philosophical underpinnings of qualitative versus quantitative research methods for the purposes of design
  2. Describe the advantages, disadvantages and basic techniques of a range of qualitative research methods, and associated theories as relevant
  3. Provide rationale for the choice of methods to use to answer different kinds of research questions
  4. Outline the basic principles of different quantitative methods
  5. Critically evaluate quantitative methods as described in research papers
  6. Critically reflect on lessons learnt from experiences applying research methods (planning, data collection and analysis) as part of collaborative user research
  7. Argue for the role of user research, drawing on evidence-based literature, for current and/or future technologies

Overall aim: To gain a basic understanding of qualitative and quantitative methods, and related theories where relevant, and how to critically apply these for the purposes of design and evaluation of technology.

Subject of course

[NOTE: it is essential that ALL students watch ALL of the videos and attend all of the sessions, which are front loaded to October/November]

Understanding and applying user research methods that contribute to a better understanding of people and their use contexts in order to better develop, design and evaluate interactive products and systems.

1. Core qualitative user research skills

Data collection/user study

- Observation, Interview; Data analysis of qualitative data using an affinity mapping / thematic analysis approach

2. Additional qualitative and participatory methods, and theories:

Data collection: - using video; experience sampling method (and other logging methods); bio/physiological sensing, eye tracking; online ethnography 

Moving to design insights

Theories:- drawn from: ethnomethodology; grounded theory and domain-relevant theories

3. Basics of quantitative methods

Survey and questionnaire design, descriptive statistics, laboratory-based studies, experimental studies

Teaching methods

Teaching method:

Flipped classroom model - with video-recorded lectures and readings in advance of interactive sessions where you can ask questions, discuss the content and engage in interactive activities.

Overall: A mixed methods approach will be used involving a significant amount of small group work and learning by doing and reflecting:

- reviewing literature and identifying key themes/approaches

- in-class presentations, discussions and reflections

- in-class exercises using a running 'small' group project throughout the semester

[Companion PR course] final large group project where students apply methods to a topic of their own choosing, with an emphasis on user research, and taking it through to some design recommendations and/or prototypes.

Mode of examination

Immanent

Additional information

[Note: we have been advised to say 'hybrid' given current uncertainties but our hope is that we will be able to deliver the course in person as the main modality.]

ECTS Breakdown: 3ECTS = 75 hours

10 hrs - recorded video lectures incl sketches
20 hrs - online sessions/workshops (of which 3 hrs joint with PR)
6 hrs - Reading & exercises
4 hrs – Group exercises (interviews)
15 hrs - Qualitative methods report

12 hrs - Other methods report
8 hrs – Quantitative assessment (incl prep)

[Note: core content of the course will be delivered via blocked sessions heavily weighted in Oct and Nov. Dates of actual meetings will be confirmed in opening lecture. While we have scheduled 2-3 hours for each online session, many will finish earlier depending on questions and content.]

 

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed13:00 - 14:0005.10.2022 HCI Library Argentinierstrasse 8 2nd floorIntro Q&A (watch video beforehand)
Wed13:00 - 15:0012.10.2022 Zoom: https://tuwien.zoom.us/j/96574710798?pwd=UDk1TitVZXF0YndqVFU2M1hacUk5dz09 (LIVE)Paradigms, intro to qual methods
Wed13:00 - 15:0019.10.2022 HCI Library Argentinierstrasse 8 2nd floorInterviews/obs
Wed13:00 - 15:0009.11.2022 HCI Library Argentinierstrasse 8 2nd floorOther methods 1
Wed13:00 - 15:0016.11.2022 HCI Library Argentinierstrasse 8 2nd floorQuant methods incl Survey
Wed13:00 - 15:0023.11.2022 HCI Library Argentinierstrasse 8 2nd floorEthics - visiting expert
Wed13:00 - 15:0030.11.2022 HCI Library Argentinierstrasse 8 2nd floorOther methods 2 / Mixed Methods (shared with PR)
Wed13:00 - 15:0007.12.2022 HCI Library Argentinierstrasse 8 2nd floorQual anaysis - workshop
Wed13:00 - 15:0014.12.2022 HCI Library Argentinierstrasse 8 2nd floorQuant analysis
Wed13:00 - 15:0011.01.2023 HCI Library Argentinierstrasse 8 2nd floorMoving to Design; Writing workshop

Examination modalities

Assessment [LO= learning outcome as above]:

  • Qualitative methods report (40%) [Lo 1,2,3,6]
  • Quantitative methods assessment (20%) [LO4, 5]
  • Other Methods report (30%) [LO 1,2, 3,7]
  • Lecture sketches (10%) [LO 1,2]

Note: all components of the assessment have to be passed to receive an overall pass mark. Once the first assessment is submitted, a certificate will be issued at end of term.

Course registration

Begin End Deregistration end
11.08.2022 09:00 11.10.2022 23:00 21.10.2022 09:00

Precondition

The student has to be enrolled for at least one of the studies listed below

Curricula

Study CodeObligationSemesterPrecon.Info
066 645 Data Science Not specified
066 935 Media and Human-Centered Computing Mandatory1. Semester

Literature

No lecture notes are available.

Previous knowledge

NOTE: there is limit to number of people we can accept on this due to its intensive teaching nature.

Students should have completed their Bachelors degree and be enrolled in Masters. Priority will be given to Informatics Masters students.

If the course is oversubscribed, priority will be given to 'first come, first accepted' on the list, especially if they are Media Informatics Masters students and/or students who were on the waiting list in 2021 and couldn't get in (NOTE: please send an email with a note if you were one of the students who missed out from the waiting list last year). If there are students from other faculties, priority will be given to Informatics Masters students.

Miscellaneous

  • Attendance Required!

Language

English