I214: User Experience Research

Summary from Usability Book of Knowledge

Carter, S. and Mankoff, J. 2005. When participants do the capturing: the role of media in diary studies. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Portland, Oregon, USA, April 02 – 07, 2005). CHI ‘05. ACM, New York, NY, 899-908.  Useful for their discussion of using media other than paper, with references to examples.

This one is useful for their method of having people use text messaging to send diary entries: Sohn, T., Li, K. A., Griswold, W. G., and Hollan, J. D. 2008. A diary study of mobile information needs. InProceeding of the Twenty-Sixth Annual SIGCHI Conference on Human Factors in Computing Systems (Florence, Italy, April 05 – 10, 2008). CHI ‘08. ACM, New York, NY, 433-442.

It’s quite difficult to find examples of HCI-related diary study data collection instruments. Here are some from other domains.

Example: very elaborate diary study: USPS annual Household Diary Study: Mail Use and Attitudes in FY 2008 – see Appendix C2; Diary Package.

Example: simple diary study.  Arbitron Radio Listening Diary (and why they use paper)

Filed by Nancy Van House at 7:46 pm under Diary Studies
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This piece is a classic: Gaver, B., Dunne, T., and Pacenti, E. 1999. Design: Cultural probes.interactions 6, 1 (Jan. 1999), 21-29.

Short summary and references from Usability Book of Knowledge on cultural probes.  Including this:

Boehner, K., Vertesi, J., Sengers, P., and Dourish, P. (2007). How HCI interprets the probes. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (San Jose, California, USA, April 28 – May 03, 2007). CHI ’07. ACM, New York, NY, 1077-1086.
This article traces the user of cultural probes and highlights the analysis and interpretation challenges and issues posed by this method.

Filed by Nancy Van House at 7:37 pm under Cultural Probes,Methods
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OK, we’ll use bSpace for you to send me electronic versions of your assignments.

Everyone enrolled in the course automatically has a dropbox on the site for you to upload files.

Pls use this naming convention

https://blogs.ischool.berkeley.edu/i214f10/2010/09/29/file-naming-format-for-dropbox-files/

Filed by Nancy Van House at 5:07 pm under Assignments,logistics
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Tu 4-5 pm

Th 1-2 pm

and by appointment

307A South Hall

Filed by Nancy Van House at 7:09 pm under logistics
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A short and straightforward description of Qualitative Data analysis using card-sorting:

Read: Analysis, Plus Synthesis: Turning Data into Insights By Lindsay Ellerby; from UX Matters.

Card-sorting of qualitative data is based (sometimes indirectly) on  on Grounded Theory, developed by Anselm Strauss and others.  Please read:

Juliet Corbin and Anselm Strauss, Grounded Theory Research: Procedures, Canons, and Evaluative Criteria. Qualitative Sociology, Vol. 13, No. 1, 1990; pp. 3-21.  Pay special attention to pp. 12-15 on coding.  Don’t take too serious the discussion of hypotheses; they don’t mean it the way quantitative research does.

At leat skim this example: It will show how one study translated Corbin & Strauss’ advice into action– it’s more complex than what we’ll do but it gives a good idea of how grounded theory works:  Pace, Steven (2004) A grounded theory of the flow experiences of Web users. International Journal of Human-Computer Studies 60:3,  pp.327-363  PDF (386 K)

For those who want to go deeper:

Charmaz, Kathy (2006) Constructing grounded theory. London: Sage Publications.

Filed by Nancy Van House at 1:03 pm under Data analysis,Qualitative Data Analysis
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In class, we’re going to practice doing some analysis of your interview data — from your assignment and/or your project.  You’ll work with people who did interviews related to yours, so most likely people in your project group.  If your interviews have nothing to do with anyone else’s interviews, bring the following anyway.

1. Bring transcriptions or detailed notes, if you have them.

2. Spend some time reviewing your interview notes (and your memory) and list major topics or themes.  These can be at varying levels of specificity, but, as with the observation exercise, be careful of getting too general, too far from your data.  Go for as long a list as makes sense, given your data.

3. Write these topic areas on large post-its  (3×3 is good) or index cards or pieces of paper cut to 3×3 or 3×5 and bring to class.

Filed by Nancy Van House at 12:21 pm under Card Sorting,Data analysis,Interviewing,Methods,Qualitative Data Analysis
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