| Literature DB >> 22754274 |
Carlos Nakamura1, Qing Zeng-Treitler.
Abstract
Predicting whether the intended audience will be able to recognize the meaning of an icon or pictograph is not an easy task. Many icon recognition studies have been conducted in the past. However, their findings cannot be generalized to other icons that were not included in the study, which, we argue, is their main limitation. In this paper, we propose a comprehensive taxonomy of icons that is intended to enable the generalization of the findings of recognition studies. To accomplish this, we analyzed a sample of more than eight hundred icons according to three axes: lexical category, semantic category, and representation strategy. Three basic representation strategies were identified: visual similarity; semantic association; and arbitrary convention. These representation strategies are in agreement with the strategies identified in previous taxonomies. However, a greater number of subcategories of these strategies were identified. Our results also indicate that the lexical and semantic attributes of a concept influence the choice of representation strategy.Entities:
Year: 2012 PMID: 22754274 PMCID: PMC3383821 DOI: 10.1016/j.ijhcs.2012.02.009
Source DB: PubMed Journal: Int J Hum Comput Stud ISSN: 1071-5819 Impact factor: 3.632