Approaches to Interface Icon Classification

Teemu Korpilahti

doi:10.1007/978-3-319-91238-7_11

Approaches to Interface Icon Classification

Teemu Korpilahti

Department of Media

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific

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.

Original language	English
Title of host publication	Human-Computer Interaction
Subtitle of host publication	Theories, Methods, and Human Issues
Editors	Masaaki Kurosu
Pages	126-137
Number of pages	12
Volume	10901
ISBN (Electronic)	9783319912387
DOIs	https://doi.org/10.1007/978-3-319-91238-7_11
Publication status	Published - 1 Jul 2018
MoE publication type	B3 Non-refereed article in conference proceedings
Event	International Conference on Human-Computer Interaction - Cesar's Palace, Las Vegas, United States Duration: 15 Jul 2018 → 20 Jul 2018 Conference number: 20 http://2018.hci.international/

Publication series

Name	Lecture notes in computer science
Volume	10901
ISSN (Electronic)	0302-9743

Conference

Conference	International Conference on Human-Computer Interaction
Abbreviated title	HCI
Country	United States
City	Las Vegas
Period	15/07/2018 → 20/07/2018
Internet address	http://2018.hci.international/

Keywords

Interface icon
Taxonomy
Classification
Semiotics
Semiology

Access to Document

10.1007/978-3-319-91238-7_11

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Korpilahti, T. (2018). Approaches to Interface Icon Classification. In M. Kurosu (Ed.), Human-Computer Interaction: Theories, Methods, and Human Issues (Vol. 10901, pp. 126-137). (Lecture notes in computer science; Vol. 10901). https://doi.org/10.1007/978-3-319-91238-7_11

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