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.
|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|
|Publication status||Published - 17 Oct 2017|
- Data analysis
- Qualitative studies