Analysing Qualitative Data University of Calgary: Sheelagh - PowerPoint PPT Presentation

Analysing Qualitative Data University of Calgary: Sheelagh Carpendale, Soren Knudsen, Alice Thudt, Uta Hinrichs University of St. Andrews: Melanie Tory Tableau:

Purpose of today’s tutorial • Continue the discussion about qualitative empirical research • Focus on qualitative data analysis • Offer some practical advice for working with qualitative data • Provide a mix of short talks and hands on activities

From today’s tutorial you will • Gain a richer understanding of the benefits and challenges of qualitative empirical research • Learn some basic qualitative data analysis process • Get a feel for qualitative analysis through practical activities • Gain practical ideas to apply to your own analysis of qualitative data

Albert Einstein ‘ Everything that can be counted does not necessarily count; everything that counts cannot necessarily be counted ’

http://innovis.cpsc.ucalgary.ca/qualitativeanalysis-vis-tutorial/ @QualEval use hashtag #QualEval

Introductions

Sheelagh Carpendale • Professor, University of Calgary • Passionate about qualitative research • Uncountable qualitative studies in the last 20 years Some papers on empirical research • S. Carpendale. (2008). Evaluating Information Visualizations, in A.Kerren, J.T. Stasko, JD. Fekete, and C. North (Eds.). Information Visualization – Human-Centered Issues and Perspectives , Volume 4950 of LNCS State-of-the-Art Survey, Springer, pp. 19-45, 2008. • H. Lam, E. Bertini, P. Isenberg, C. Plaisant, S. Carpendale. (2012) Empirical Studies in Information Visualization: Seven Scenarios. IEEE Transactions on Visualization and Computer Graphics , 18(9): 1520-1536, 2012. Appeared online: 30 Nov. 2011. • M. Brehmer, S. Carpendale, B. Lee, M. Tory (2014). Pre-design empiricism for information visualization: Scenarios, methods, and challenges. Proceedings of the Fifth Workshop on Beyond Time and Errors: Novel Evaluation Methods for Visualization, (BELIV’14) , pages 147-515. ACM Press • P. Isenberg, T. Zuk, C. Collins, S. Carpendale. (2008). Grounded Evaluation of Information Visualizations. Proc. Beyond Time and Errors: Novel Evaluation Methods for Information Visualization (BELIV’08) (held at ACM CHI’08), pp. 56-63, ACM DL. • T. Zuk, L. Schlesier, P. Neumann, M.S. Hancock, S. Carpendale. (2006). Heuristics for Information Visualization Evaluation. Proc. Beyond Time and Errors: Novel Evaluation Methods for Information Visualization (BELIV’06), (held at Advanced Visual Interfaces, AVI 2006), pp. 55–60, ACM Press.

Uta Hinrichs Assistant Professor, University of St Andrews Studying Experiences with Visualizations In-Situ Observation  Interviewing  Focus Groups Uta Hinrichs, Simon Butscher, Jens Müller and Harald Reiterer. Diving in at the Deep End: The Value of Alternative In-Situ Approaches for Systematic Library Search . CHI 2016 . Trevor Hogan, Uta Hinrichs, Eva Hornecker. The Elicitation Interview Technique: Capturing People’s Experiences of Data Representations . IEEE TVCG . In print. Uta Hinrichs, Stefania Forlini and Bridget Moynihan. Speculative Practices: Utilizing InfoVis to Explore Untapped Literary Collections . IEEE TVCG, 2016. Uta Hinrichs and Sheelagh Carpendale. Gestures in the Wild: Studying Multi-Touch Gesture Sequences on Interactive Tabletop Exhibits . CHI‘ 2011. @uta_ente

Soren Knudsen Post Doctoral Fellow, University of Calgary Currently: Multiple Views in Large Displays/Collaboration Interviews  Workshops Søren Knudsen, Jeppe Gerner Pedersen, Thor Herdal, Jakob Eg Larsen. Using Concrete and Realistic Data in Evaluating Initial Visualization Designs . BELIV, 2016. Søren Knudsen, Sheelagh Carpendale. View Relations: An Exploratory Study on Between-View Meta-Visualizations . NordiCHI, 2016. Mikkel Rønne Jakobsen, Yonas Sahlemariam Haile, Søren Knudsen, Kasper Hornbæk. Information Visualization and Proxemics: Design Opportunities and Empirical Findings . IEEE TVCG, 2013. Søren Knudsen, Mikkel Rønne Jakobsen, Kasper Hornbæk. An exploratory study of how abundant display space may support data analysis . NordiCHI, 2012. @sknudsendk

Alice Thudt PhD Candidate, InnoVis Group, University of Calgary Personal Visualization for Self-Reflection and Personal Storytelling Alice Thudt, Bongshin Lee, Eun Kyoung Choe, and Sheelagh Carpendale. 2016. Expanding Research Methods for a Realistic Understanding of Personal Visualization. IEEE Computer Graphics And Applications Visualization Viewpoints (2016), 12–18. • semi-structured interviews Thudt, A., Hinrichs, U., Carpendale, S. The Bohemian Bookshelf: Supporting Serendipitous Book Discoveries through Information Visualization. In Proceedings of ACM CHI 2012. Thudt, A., Hinrichs, U. and Carpendale, S. A Modular Approach to Promote Creativity and Inspiration in Search. In Proceedings of ACM Creativity & Cognition 2015 . • technology probes Thudt, A., Baur, D., Huron, S., Carpendale, S. Visual Mementos: Reflecting Memories with Personal Data . In IEEE TVCG 2015. • diary studies work in progress @al_ice_t

Melanie Tory Senior Research Scientist, Tableau Interested in understanding interactive visual analysis • Physical and digital artifact-mediated coordination in building design M Tory, S Staub-French, BA Po, F Wu, Computer Supported Cooperative Work (CSCW) 17 (4), 311-351. • Note-taking in co-located collaborative visual analytics: Analysis of an observational study, N Mahyar, A Sarvghad, M Tory, Information Visualization, 2012. • Supporting communication and coordination in collaborative sensemaking, N Mahyar, M Tory IEEE transactions on visualization and computer graphics 20 (12), 1633-1642. • User Studies in Visualization: A Reflection on Methods, Melanie Tory, Chapter in Handbook of Human Centric Visualization, 2014. @vizstudylady