Enhance the Perception in Viewing Business Data

Li, Yina

Enhance the Perception in Viewing Business Data

Li, Yina

Permalink

Publication Type:: Thesis
Issue Date:: 2022

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download contents and abstractAdobe PDF (118 kB)

Adobe PDF

Download thesisAdobe PDF (10.1 MB)

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Li, Yina
dc.date.accessioned	2023-10-17T04:06:18Z
dc.date.available	2023-10-17T04:06:18Z
dc.date.issued	2022
dc.identifier.uri	http://hdl.handle.net/10453/172728
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	A variety of computer graphics and visualization techniques for viewing business data on the screen are developed. Viewers’ efficient and accurate perception of explicit and implicit business information relies on the interface design adaptive to the human eye-brain system. Human’s attention, recognition, and semantic meaning interpretation are the keys to the perception of business data. This thesis discusses perception enhancement in three directions: 1) Enhance the perception (i.e., recognition) of visual networks through visual clutter reduction (or edge bundling). 2) Enhance the perception (i.e., attention) of a focal graphic object among similar others through the graphic saliency highlighting technique. 3) Enhance human capability in interpreting visualized temporal information through perception bias identification. The thesis conducts experiments to examine how shape, color, location, orientation, and motion as the basic visual elements influence users’ perception of business data displayed on the visual interface. We analyze the mechanisms in which visual elements are organized, perceived, and interpreted and indicate the opportunities to optimize users’ experiences adaptive to the key stages of information processing when viewing business data.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/172728/2/02whole.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2022 Yina Li
dc.rights	au.edu.uts.lib/cph
dc.title	Enhance the Perception in Viewing Business Data	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

A variety of computer graphics and visualization techniques for viewing business data on the screen are developed. Viewers’ efficient and accurate perception of explicit and implicit business information relies on the interface design adaptive to the human eye-brain system. Human’s attention, recognition, and semantic meaning interpretation are the keys to the perception of business data. This thesis discusses perception enhancement in three directions: 1) Enhance the perception (i.e., recognition) of visual networks through visual clutter reduction (or edge bundling). 2) Enhance the perception (i.e., attention) of a focal graphic object among similar others through the graphic saliency highlighting technique. 3) Enhance human capability in interpreting visualized temporal information through perception bias identification. The thesis conducts experiments to examine how shape, color, location, orientation, and motion as the basic visual elements influence users’ perception of business data displayed on the visual interface. We analyze the mechanisms in which visual elements are organized, perceived, and interpreted and indicate the opportunities to optimize users’ experiences adaptive to the key stages of information processing when viewing business data.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/172728