Finding Gender Differences in End-User Debugging: A Data Mining Approach

Valentina Grigoreanu

doi:10.1109/VLHCC.2007.39

V
VLHCC
2007
IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2007)
Abstract - Finding Gender Differences in End-User Debugging: A Data Mining Approach

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IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2007)

Finding Gender Differences in End-User Debugging: A Data Mining Approach (PDF)

Coeur d?Al?ne, Idaho

September 23-September 27

ISBN: 0-7695-2987-9

	ASCII Text	x
	Valentina Grigoreanu, "Finding Gender Differences in End-User Debugging: A Data Mining Approach," Visual Languages and Human-Centric Computing, IEEE Symposium on, pp. 258-259, IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2007), 2007.

	BibTex	x
	@article{ 10.1109/VLHCC.2007.39, author = {Valentina Grigoreanu}, title = {Finding Gender Differences in End-User Debugging: A Data Mining Approach}, journal ={Visual Languages and Human-Centric Computing, IEEE Symposium on}, volume = {0}, year = {2007}, isbn = {0-7695-2987-9}, pages = {258-259}, doi = {http://doi.ieeecomputersociety.org/10.1109/VLHCC.2007.39}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Visual Languages and Human-Centric Computing, IEEE Symposium on TI - Finding Gender Differences in End-User Debugging: A Data Mining Approach SN - 0-7695-2987-9 SP258 EP259 A1 - Valentina Grigoreanu, PY - 2007 KW - null VL - 0 JA - Visual Languages and Human-Centric Computing, IEEE Symposium on ER -

Valentina Grigoreanu, Oregon State University, USA

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

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