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Influence of domain experience on icon recognition and preferences
Behaviour & Information Technology ( IF 3.7 ) Pub Date : 2020-07-31 , DOI: 10.1080/0144929x.2020.1795260
Junyi Xie 1 , Divya Unnikrishnan 1 , Leon Williams 1 , Adriana Encinas-Oropesa 1 , Srikanth Mutnuri 2 , Nitin Sharma 2 , Paul Jeffrey 1 , Binxin Zhu 1 , Paul Lighterness 1
Affiliation  

ABSTRACT

With the advance of the Internet of Things (IoT) and smart sensor networks, accurate understanding of complex data via interface icons is critical for effective decision making, operation management and monitoring. In order to understand how the different domain experience among icon designers and users affects icon recognition and preference level among users, this paper takes environmental and operational sensors as a case study and organises two icon design workshops, in which icon recognition and preference tests are conducted based on the standard ISO 9186 methodology. Results reveal that differences in domain experience among designers and users do not impose a significant impact on users’ icon recognition levels. However, users new to the domain significantly prefer icons created by designers who share similar levels of domain experience with them. It provides a little reference for future environmental and operational sensor Graphical User Interface icon designers, decision makers, scientists and engineers to improve the icon design process.



中文翻译:

领域经验对图标识别和偏好的影响

摘要

随着物联网 (IoT) 和智能传感器网络的发展,通过界面图标准确了解复杂数据对于有效决策、运营管理和监控至关重要。为了了解图标设计者和用户的不同领域体验如何影响用户的图标识别和偏好水平,本文以环境和操作传感器为案例研究,组织了两次图标设计研讨会,其中进行了图标识别和偏好测试基于标准 ISO 9186 方法。结果表明,设计师和用户之间的领域体验差异不会对用户的图标识别水平产生显着影响。然而,刚接触该领域的用户明显更喜欢由具有相似领域经验的设计师创建的图标。它为未来环境和操作传感器图形用户界面图标设计者、决策者、科学家和工程师改进图标设计过程提供了一点参考。

更新日期:2020-07-31
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