Authors: Binny Samuel, Merete Hvalshagen, Roman Lukyanenko
Tags: 2017, artifact sampling, cardinality constraints, conceptual data models, narratives, pragmatic quality
We aim to tackle an important challenge related to the use of conceptual models: providing additional support to non-technical users. Specifically, we build on prior research in psychology that argues that providing concrete examples of generalized propositions can improve problem understanding and performance. We propose to combine conceptual models with narratives containing specific statements about the application domain. We conducted a laboratory experiment that supports our general claim that supplementing conceptual data models with narratives increases understanding of conceptual data models (specifically, cardinality constraints). We then propose a strategy for finding effective application of narratives. The paper concludes by outlining directions for future research.
Cite as:
Hvalshagen M., Samuel B.M., and Lukyanenko R. (2017). “Conceptual Data Models and Narratives: A Tool to Help the Tool,” in AIS SIGSAND, Cincinnati, OH, United States, May 18-20, 2017.
