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Approaches to interface icon classification

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2018) 10901 LNCS 126-137
DOI: 10.1007/978-3-319-91238-7_11
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Abstract

Various attempts have been made at creating a classification for user interface icons, with some focusing on their pictorial presentation, and others on the signs’ relation to their intended meaning. This paper provides a review of the existing classification systems, and discusses their strengths and weaknesses. Based on this review, we then propose an alternative practical approach to icon classification, which is aimed towards designers of user interface icons rather than the research community, and evaluate its usability based on data gathered from two online surveys.

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Korpilahti, T. (2018). Approaches to interface icon classification. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10901 LNCS, pp. 126–137). Springer Verlag. https://doi.org/10.1007/978-3-319-91238-7_11

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