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

Print

Identifier

DP0022729

Language

English

Access Status

Open Access

Length of Campus-only Access

None

Document Type

Honors in the Major Thesis

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