Analyzing qualitative data

Uta Hinrichs, Sheelagh Carpendale, Søren Knudsen, Alice Thudt

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearch


Evaluation is increasingly recognized as an essential component of HCI research. However, evaluation itself is a changing research area. In particular, the many variations of qualitative research are emerging as important empirical methods. This half-day tutorial is designed for beginning to intermediate audiences. We will focus on the basic methods for analyzing qualitative data using a mixture of talks and hands-on activities. In particular we will consider closed and open coding as well as clustering and categorizing coded data. After completing this tutorial, attendees will have a richer understanding of the benefits and challenges of qualitative empirical research and, more specifically, how to analyze qualitative data.
Original languageEnglish
Title of host publicationProceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017
Number of pages5
PublisherAssociation for Computing Machinery
Publication date17 Oct 2017
Publication statusPublished - 17 Oct 2017
Externally publishedYes


  • Coding
  • Data analysis
  • Evaluation
  • Qualitative studies


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