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.

2019W, VU, 2.0h, 3.0EC
TUWEL

Properties

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

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 attend ALL of the intensive blocked sessions, which are front loaded to October]

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:

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

ECTS Breakdown: 3ECTS = 75 hour

  • 28 hrs - In-class blocked sessions
  • 6 hrs - Reading
  • 12 hrs  - Group exercises (including production of wiki documentation as an integral part of the work)
  • 4 hrs - Quiz (including preparation)
  • 7 hrs - Method Report
  • 3 hrs - Learning Refletions
  • 12 hrs - Final essay/report

[Note: core content of the course will be delivered via blocked sessions heavily weighted in Oct. Many of the sessions in Nov-Jan will be for your own work with no formal class, where you can still use the seminar room space for group work. Dates of actual meetings will be confirmed in opening lecture]

Note: the room will be booked for 4 hours but the duration of the blocked sessions within this time will be variable depending on topic (eg some days 2hrs, others 4 hrs, most will be 3 hrs)

Assessment will be based on [LO= learning outcome as above]:

  • In-class quiz (20%) [LO4, 5]
  • Written Method report (20%) [LO 1,2, 3]
  • Final Essay/Report (50%) [LO 1, 6, 7]
  • Learning Reflections (10%) [LO 6]

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.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed10:00 - 12:0002.10.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Vorbesprechung
Mon09:00 - 13:0007.10.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Research paradigms, methods overview
Wed09:00 - 13:0009.10.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Observations, Interviews
Mon09:00 - 13:0014.10.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Ethics
Wed09:00 - 13:0016.10.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Other methods
Mon09:00 - 13:0021.10.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Surveys, lab studies
Wed09:00 - 13:0023.10.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Analysis
Mon09:00 - 11:0018.11.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Interview exercise debrief
Mon09:00 - 13:0025.11.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Quantitative methods
Mon09:00 - 12:0009.12.2019 Argentinierstr 8 193-5 Library (2. Stock)VU Quant Quiz
Wed09:00 - 11:3008.01.2020 Argentinierstr 8 193-5 Library (2. Stock)VU Moving to design

Examination modalities

Assessment [LO= learning outcome as above]:

  • In-class quiz (20%) [LO4, 5]
  • Written Method report (20%) [LO 1,2, 3]
  • Final Essay/Report (50%) [LO 1, 6, 7]
  • Learning Reflections (10%) [LO 6]

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
01.09.2019 09:00 08.10.2019 23:00 21.10.2019 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

Students should have completed their Bachelors degree and be enrolled in Masters. Priority will be given to Media Informatics Masters students if the course is oversubscribed.

Miscellaneous

  • Attendance Required!

Language

English