Human-computer interaction: The effect of application domain knowledge on icon visualization

Publication Type

Journal Article

Publication Date

1-2016

Abstract

Iconic interfaces are now the de facto interface for most computer systems. Despite the popularity of iconic interfaces and the widespread belief that iconic interfaces are easier to comprehend than non-iconic interfaces, we have not come across any published study that has examined the effect of application domain knowledge on end users' interpretation of icons. An understanding of the relationship between application domain knowledge and its effect on interpretation will enable us to design better iconic interface to not only facilitate end users' interpretation, but to also reduce the misinterpretations of icons. This paper reports on an experimental study that investigates the effect of application domain knowledge on icons interpretation. The hypotheses for this study are derived from theories in cognitive psychology and are empirically tested in a laboratory experiment. The results indicate that application domain knowledge has no significant effect on the accuracy of interpretation. Application domain knowledge, however, significantly affects the time taken to interpret icons and the confidence level of subjects. The implication of the results on theories and practice are also discussed.

Keywords

Application domain knowledge, Experimental study, Human information-processing systems, Ionic interfaces, Problem space

Discipline

Databases and Information Systems | Graphics and Human Computer Interfaces

Research Areas

Data Science and Engineering; Information Systems and Management

Publication

Journal of Computer Information Systems

Volume

45

Issue

3

First Page

53

Last Page

62

ISSN

0887-4417

Publisher

Taylor and Francis Group

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