DocumentCode
1788271
Title
Visualizing the problem domain for spreadsheet users: A mental model perspective
Author
Kankuzi, Bennett ; Sajaniemi, Jorma
Author_Institution
Sch. of Comput., Univ. of Eastern Finland, Joensuu, Finland
fYear
2014
fDate
July 28 2014-Aug. 1 2014
Firstpage
157
Lastpage
160
Abstract
Earlier research on spreadsheet authors´ mental models has shown that people possess several types of information about spreadsheets. Especially, when explaining a spreadsheet, the real-world and domain mental models are prominent and the spreadsheet model is suppressed, but when locating and fixing an error, one must constantly switch back and forth between the domain model and the spreadsheet model, which requires frequent use of the mapping between problem domain concepts and their spreadsheet model counterparts. This paper introduces a new spreadsheet visualization tool and its empirical evaluation. The tool translates traditional spreadsheet formulas into problem domain narratives and highlights referenced cells. The tool was found to be easy to learn and helped the participants to locate more errors in spreadsheets. Furthermore, the tool increased the use of the domain mental model and appeared to improve the mapping between the spreadsheet model and the domain model.
Keywords
data visualisation; spreadsheet programs; domain model; mental model perspective; problem domain visualization; spreadsheet authors mental models; spreadsheet model; spreadsheet users; Analysis of variance; Cognitive science; Computational modeling; Data models; Debugging; Usability; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Languages and Human-Centric Computing (VL/HCC), 2014 IEEE Symposium on
Conference_Location
Melbourne, VIC
Type
conf
DOI
10.1109/VLHCC.2014.6883040
Filename
6883040
Link To Document