Predictive modeling of a management information system
Abstract
ABSTRACT Analyses of the execution and learning times have been completed for the defined custo!Iler requirements document (CRD) of Rhone-Poulenc Rorer Pharmaceuticals' (RPR) Dendrite Sales Representative ETMS Series 6.1 Interface. The analyses are based on system storyboards and design documents obtained from RPR in September of 1994. The GOMS predictive modeling approach and the Natural GOMS Language were utilized to provide estimates of the time required for a novice, average individual, and expert to learn to use the system and to execute given tasks. In order to estimate the learning and execution times for this system, the task goals that would be accomplished by typical users
of the system needed to be identified. The goals chosen reflect top -level goals the RPR pharmaceutical representatives utilize most frequently. These goals were determined via reviews of employee manuals, interviews with upper division and district managers, and two weeks of field research and task analyses with three different RPR representatives from three different districts. The goals identified would also be utilized to evaluate future generations ofRPR interfaces and to predict user performance based on estimated execution and learning times.
Notes
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Thesis Completion
1997
Semester
Spring
Advisor
Pet-Edwards, Julia
Degree
Bachelor of Science (B.S.)
College
College of Engineering
Degree Program
Industrial Engineering
Subjects
Dissertations, Academic -- Engineering;Engineering -- Dissertations, Academic
Format
Identifier
DP0022729
Language
English
Access Status
Open Access
Length of Campus-only Access
None
Document Type
Honors in the Major Thesis
Recommended Citation
Reeves, Leah M., "Predictive modeling of a management information system" (1997). HIM 1990-2015. 82.
https://stars.library.ucf.edu/honorstheses1990-2015/82