Abstract
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 language | English |
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Title of host publication | Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017 |
Number of pages | 5 |
Publisher | Association for Computing Machinery |
Publication date | 17 Oct 2017 |
Pages | 477-481 |
DOIs | |
Publication status | Published - 17 Oct 2017 |
Externally published | Yes |
Keywords
- Coding
- Data analysis
- Evaluation
- Qualitative studies