Wu, X;
Zhang, K;
Fang, Z;
P. Brumby, D;
Mao, X;
Wang, X;
Li, Q;
(2023)
Study on the correlation and inhibition of visual marking and industrial icons.
Displays
, 78
, Article 102410. 10.1016/j.displa.2023.102410.
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Abstract
As a carrier of complex information, industrial icons play an important role in intelligent manufacturing systems, and the superiority of its visual presentation affects the visual search efficiency of operators. This paper applied the theoretical knowledge of visual marking to the study of industrial icons, and the relationship between the inhibitory mechanism of visual marking and the information characteristic, semantic categories and spatial layout of industrial icons is explored from the inhibition of location, feature, category and spatial structure in visual marking. The experimental results show that: in the aspect of feature inhibition, the 2.5D style inhibits the flat style and the complex icon inhibits the simple icon. In the aspect of category inhibition, the inhibitory degree of four different categories are warning, monitoring, equipment and production in order from high to low. In the aspect of spatial layout inhibition, the regular layout inhibits the chaotic layout and the orderly arrangement inhibits the disorderly arrangement. It is concluded that there is a certain correlation among the industrial icons’ inhibition of feature, category and spatial layout, and the priority of category is higher than that of feature, the spatial layout inhibition is jointly influenced by the inhibition of feature and category, among which category inhibition takes the lead role.
Type: | Article |
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Title: | Study on the correlation and inhibition of visual marking and industrial icons |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1016/j.displa.2023.102410 |
Publisher version: | https://doi.org/10.1016/j.displa.2023.102410 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Science & Technology, Technology, Physical Sciences, Computer Science, Hardware & Architecture, Engineering, Electrical & Electronic, Instruments & Instrumentation, Optics, Computer Science, Engineering, Industrial Icons, Visual Marking, Correlation, Inhibitory Mechanisms, Subject classification codes, Human-Computer, Interaction Innovations in China, PRIORITIZING SELECTION, TOP-DOWN, TIME, ATTENTION, CAPACITY, SEARCH |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > UCL Interaction Centre |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10172712 |
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