Title:	GRAPHICAL USER INTERFACE PERSONALIZATION: USER STUDY OF IMAGE FREQUENCY PREFERENCES
Author(s):	Malwina Dzi?ko, Anna Lewandowska and Anna Samborska – Owczarek
ISBN:	978-989-8704-21-4
Editors:	Yingcai Xiao, Ajith P. Abraham and Jörg Roth
Year:	2020
Edition:	Single
Keywords:	Intelligent Graphical User Interface, Frequency Bands Images, Human Thinking Style, Perceptual Experiment - User Study
Type:	Full
First Page:	71
Last Page:	78
Language:	English
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Paper Abstract:	Recommending systems are undoubtedly a breakthrough in technology. Recommending systems are helpful to produce intelligent systems. These systems are becoming more and more popular and their main components are other embedded subsystems. The final result of intelligent system visible to the end-user is the graphical interface, which mainly consists of the graphical representation. It turns out, that wrongly chosen image frequency, to detail, chaotic and so, can affects the user's work efficiency. Thus, the image frequency is one of the components that should be investigated during graphical interfaces design. The main purpose of this work is to analyze the impact of the selection of the frequency level of images depending on the human thinking styles. The paper presents the selection of images with given frequency depending of one thinking style. To test the research hypothesis, we conducted perceptual experiments in which images with different intensity in different frequency bands were presented. Finally, we obtained statistical significance between the selection of images with different levels of frequency bands of images for the group of respondents with the thinking style based on the Ideas and the rest of the thinking groups.
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