The Design And Evaluation Of Information Visualization For Scholarly Databases In Reducing Cognitive Overload And Improving Comprehension

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Date
2021-09
Authors
Azam Majooni Golkhatmi
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Publisher
Universiti Sains Malaysia
Abstract
This research is a multidisciplinary study in the field of visual communication. The main objective of this study is to propose methods for tackling information overload effects for postgraduate students and researchers while working with scholarly databases. The study begins with a preliminary study on the problems and ideas of the researchers regarding the scholarly databases. The most successful method for dealing with the concept of large information resources, which is the main source of information overload, is aggregation and visualization of the information and transforming it into clusters and groups. The visualization design in this research is based on Gestalt laws in order to achieve a simple design and robust implementation which is both informative and effective in reducing the information overload effect. As the design and implementation of visualizations require evaluation and update, the model used in this study is the Successive Approximation Model. The direct effect of the information overload on the researchers is increased cognitive load. Therefore, to undertake information overload using visualizations, the proposed method should be able to reduce cognitive load. In this study, eye-tracking technology is used to evaluate the cognitive load of the users of the information visualizations designs
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Keywords
The Design And Evaluation Of Information Visualization , Reducing Cognitive Overload And Improving Comprehension
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