Department of Information and Computing Sciences

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Advanced HCI qualitative research methods

Course code:INFOMQLM
Credits:7.5 ECTS
Period:period 2 (week 46 through 5, i.e., 11-11-2019 through 31-1-2020; retake week 16)
Timeslot:B
Participants:see Osiris Docent
Schedule:Official schedule representation can be found in Osiris
Teachers:
formgrouptimeweekroomteacher
innovatie          Judith Masthoff
lecture          Judith Masthoff
Contents: At successful completion of this course, you will be able to:
  1. Design and conduct qualitative HCI user studies
    1. Define research questions
    2. Critically evaluate, select and conduct appropriate qualitative methods for HCI research, such as contextual inquiry, diary studies, case studies, interviews, focus groups, surveys, observational methods, expert evaluation methods, guerilla testing, creative problem solving methods, model based HCI evaluations, mixed methods
    3. Select an appropriate sampling method for qualitative HCI studies
    4. Perform qualitative research in specific domains such as intelligent user interfaces and voice interaction systems, recommender systems and decision support systems, and e-coaching systems and persuasive technology
    5. Perform qualitative research to inform design, for example to define and design personas, scenarios, customer journeys, task models, state transition diagrams, information architectures and navigation structures
  2. Analyze qualitative data
    1. Understand the principles, advantages and disadvantages of grounded theory
    2. Apply closed and open coding and perform thematic analysis
    3. Determine validity and reliability, including e.g. triangulation and inter annotator agreements
    4. Use qualitative data analysis packages such as NVIVO
    5. Visualize qualitative data
  3. Report on the design and results of qualitative studies
  4. Consider the ethics, bias, data protection and privacy issues related to HCI research
    1. Ensure informed consent for user studies
    2. Be aware of bias in research methods
    3. Apply data protection frameworks
    4. Apply universal access and cross-cultural design principles
  5. Contribute to the scientific community and society as a qualitative HCI researcher
    1. Review and write academic papers on qualitative HCI research
    2. Communicate qualitative HCI research and its value to non-academic audiences and stakeholders
    3. Co-organize scientific/outreach events about HCI research and present at such events
Literature:
  • Blanford, A., Furniss, D., Makri, S. Qualitative HCI Research: Going behind the scenes. Morgan & Claypool publishers.
  • Selected scientific articles
Course form:Qualitative research and data analysis methods for HCI will be taught in the context of real HCI research problems. Short lectures will be alternated with hands-on learning.
Minimum effort to qualify for 2nd chance exam:To participate in the resit, an original mark of at least 4 is required.
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