IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2007) Coeur d?Al?ne, Idaho September 23-September 27 ISBN: 0-7695-2987-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/VLHCC.2007.39
We are currently investigating what types of end user personas (or homogeneous groups in the population) exist and what works for or hinders each in end-user debugging. These personas will be determined using data mining methods such as cluster analysis to see how static (background and self-efficacy), behavioral, and success variables interact for each cluster of users. This research will help provide a better understanding of the needs of end users and the tools that are necessary for supporting both male and females in debugging tasks.
Citation:
Valentina Grigoreanu, "Finding Gender Differences in End-User Debugging: A Data Mining Approach," vlhcc, pp.258-259, IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||