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The Effects of State-Based and
Event-Based Data Representations on User Performance in Query
Formulation Tasks
Gove N. Allen and Salvatore
T. March
Abstract
Ad hoc query
formulation is an important task in effectively utilizing
organizational data resources. To facilitate this task, managers
and casual end-users are commonly presented with database views
expressly constructed for their use. Differences in the way in
which things, states, and events are represented in such views can
affect a user’s ability to understand the database, potentially leading
to different levels of performance (i.e., accuracy, confidence, and
prediction of the accuracy of their queries). An experiment was
conducted over the Internet involving 342 subjects from 6 universities
in North America and Europe to investigate these effects. When
presented with an event-based view, subjects expressing low or very low
comfort levels in reading entity-relationship diagrams expressed
confidence that better predicted query accuracy although there were no
significant differences in actual query accuracy or level of confidence
expressed.
Keywords: Query formulation
performance, event-based, state-based, artifact-based, data models,
database user view, sense-making, E-R diagram
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