Cited by 6Usability and User Interface DesignSafety Warnings and SignageInnovative Human-Technology Interaction

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

A study of the recognitions and preferences on abstract and concrete icon styles on smart phone from Easterners and Westerners' point of view

Chanwimalueng, Waiwit, Rapeepisarn, Kowit·2013·2013 International Conference on Machine Learning and Cybernetics

Abstract

Smart phones are being used extensively by nearly every walk of life and its market is speedily growing. Design of icons for human-machine interface unavoidably needs to consider cultural differences between the users. This paper is a pilot study that involved 60 subjects, of which 29 are westerners and 31 Easterners. They participated in an icon recognition and icon preference test. The results show there was no difference in terms of icon recognition and preference between the participants from different cultures. The findings also imply that cultural gap may be gradually narrowed and it is suggested that icon designers should avoid using abstract symbols.

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Crossref · 10.1109/icmlc.2013.6890858

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Citations

Cites

Research works printed but not linked: 22

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Metadata

Authors
Chanwimalueng, W., & Rapeepisarn, K.
Affiliations
Rangsit University (TH)
Venue
2013 International Conference on Machine Learning and Cybernetics
Publisher
IEEE
Published
2013-07
Pages
1613-1619
OpenAlex
W2086165115
Cited by
6
References
1
Citations by year
2025: 1 · 2024: 1 · 2021: 1 · 2020: 1 · 2019: 2
FWCI
0.00
Type
conference paper
Language
en
Open access
closed
Locations
International Conference on Machine Learning and Cybernetics (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
  • Social Sciences › Human Factors and Ergonomics › Safety Warnings and Signage
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
icon recognition, cross-cultural comparison, human-machine interface design

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