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Tue, 6 Apr 2010 11:00:17 -0700
Jhilmil Jain <[log in to unmask]>
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Jhilmil Jain <[log in to unmask]>
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CHI 2010 SIG : Best Practices in Longitudinal Research

When: Tue, 13 April 2010 @ 9:00 to 10:30am
Where: Room: Chicago ABC

This SIG will help to identify best practices for longitudinal research
through a collaborative discussion of methods and metrics for collecting and
analyzing user data over time. This is the fifth event in an ongoing effort
by the facilitators to enhance our current body of knowledge about
longitudinal research.

As user experience issues become more central to HCI, the value of
longitudinal research—collecting user data over time—is increasingly
recognized. Design researchers understand the importance of observing
extended use of products and systems, and seek to improve methodology and
develop best practices for longitudinal research.

Traditional user research and evaluation methods tend to focus on
‘first-time’ experiences with products, which trends the results more
towards discoverability or learnability problems, rather than usability
concerns that may persist over time. This SIG seeks to extend current
thinking by providing a forum for discussion of methods and metrics that
have proven effective for longitudinal data collection.

Goals of the SIG:
The goal of this SIG is to help participants gain a better understanding of
the longitudinal user experience research taking place in both industry and
academia. The desired SIG outcomes are:
• Collaborative discussion of key issues, both appropriate methodology and
research questions that lend themselves to longitudinal study
• Sharing and capturing detailed experiences of longitudinal research to
fulfill the immediate need for use cases
• Publishing in the longitudinal research wiki the information supplied by

Questions to be Addressed:
- What are the methods for longitudinal research?
- What are the risks associated with longitudinal research?
- What research questions can longitudinal studies can help answer?
- What techniques/tools can I use for comparative data analysis?
- Is iterative design/testing considered longitudinal?

We look forward to meeting researchers and practitioners with shared
interests in Atlanta. Please contact one of the organizers if you want to
propose discussion points or find out more about this SIG.

Jhilmil Jain, HP Labs ([log in to unmask])
Stephanie Rosenbaum, Tec-Ed ([log in to unmask])
Catherine Courage, Citrix Systems ([log in to unmask])

Visit for more details

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