Theme 1 - Wish: Software that spits out what's interesting

Summary:
- Imagine you have a mobile UX researcher who has amassed data and digital artifacts from a mobile-based study: e.g. server logs, photos...
- The wish is for the researcher, on a per-study basis, to be able to shove this data into a program which spits out the interesting trends, based on how data compares to pre-defined expectations*. (examples given)
- These leads on 'what's interesting' would include links back to the source data which the first-pass conclusion is based on.
- Analysis time would be greatly reduced by providing a solid starting point showing where to dig deeper.
- *Discussion led to a spin-off request for a tool/feature that supports the researcher in defining what kinds of behavior to consider tracking, and what evidence might indicate that expected behavior.

Anyone want to help build something like this, or point to tools which already address this in the mobile domain (or any domain)?

Context:
This discussion happened at the CHI 2009 Workshop: Mobile User Experience Research: Challenges, Methods & Tools (http://sites.google.com/site/chi09mobileworkshop/)

This group addressed "Theme 1: Methods for harnessing the messy mobile reality"

Category:

Science & Technology

Tags:

• CHI09
• mobile
• workshop
• UX
• user experience
• research
• tools