Title
Easing the generation of predictive human performance models from legacy systems
Abstract
With the rise of tools for predictive human performance modeling in HCI comes a need to model legacy applications. Models of legacy systems are used to compare products to competitors, or new proposed design ideas to the existing version of an application. We present CogTool-Helper, an exemplar of a tool that results from joining this HCI need to research in automatic GUI testing from the Software Engineering testing community. CogTool-Helper uses automatic UI-model extraction and test case generation to automatically create CogTool storyboards and models and infer methods to accomplish tasks beyond what the UI designer has specified. A design walkthrough with experienced CogTool users reveal that CogTool-Helper resonates with a "pain point" of real-world modeling and provide suggestions for future work.
Year
DOI
Venue
2012
10.1145/2207676.2208415
CHI
Keywords
Field
DocType
design walkthrough,new proposed design idea,cogtool storyboards,model legacy application,software engineering testing community,predictive human performance modeling,experienced cogtool user,legacy system,automatic gui testing,automatic ui-model extraction,software engineering,gui testing
Human performance modeling,Computer science,Human–computer interaction,Software walkthrough,Graphical user interface testing,Legacy system,Competitor analysis
Conference
Citations 
PageRank 
References 
4
0.56
12
Authors
4
Name
Order
Citations
PageRank
Amanda Swearngin1354.18
Myra Cohen2473.12
Bonnie E. John31989318.97
Rachel Bellamy416222.64