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

Analysing Qualitative Data

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

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

• n Interactive Tabletop Exhibits. CHI‘ 2011.

@uta_ente

@sknudsendk

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

• n 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.

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