Information visualization, means representation of large-scale non-numerical information visually. Often regarded as an interdisciplinary study subject, it is close related to human-computer interaction, computer science, graphics, visual design, psychology and business methods.
Information Visualization: Intention
The intention of information visualization is "To allow users to see, explore and understand large amounts of information at once." This is possible because humans tend to interpret graphical information faster and the retention is longer. This could be seen from the usage of the famous mind-map, which proved to help better memorize and interpret information.
Information Visualization: More Organized Data Display
Representation of large amount of information is hard, and interpretation of such information is even harder. However, with the help of visualization, certain type of data, such as hierarchical data, could be visualized effectively to give an organized view. The image below is a botanical representation of Unix home-directory, which is often regarded as "hard to interpret".
Information Visualization: Simplified Decision-making
Complex information spaces often hinder, rather than help, the decision-making process. Visualization of information, including transformations the data undergoes within the information system, can provide the mental image often needed to make effective decisions.For example, sometimes it is important for a website maintainer to know where the site's visitors come from so that the maintainer could better the site's service by providing local mirrors to those places where majority of the visitors come from. However, there could be millions of visits from all over the world and it becomes difficult to make correct decisions based on raw data. In such situations, information visualization becomes handy. Application like Google Analytics could provide visualization of such information, as shown in the image below. This makes interpretation a lot easier. In this case, the website maintainer can at once decide that the mirror should be physically located somewhere in the southern east part of the country.
Information Visualization: Challenges
Information visualization faces several significant challenges:
1. Visualized information could be cognitively too hard to understand. This is a serious problem that never seem to go away. Consider the hedgehog representation used for web mining, it is very difficult for an non-expert to understand the graph.
2. Integration with data sources is difficult: Most of the time it requires a lot of effort to transform a dataset to a format that visualization tools can understand. And in many cases the visualized information is not worth the effort because it is still too difficult to understand.
Conclusion
Information visualization makes use of human's traits of fast cognition of graphical data, to improve interpretation of large-scaled non-numerical data. This technique is helpful in many cases, especially when non-accuate decision-making is needed. Information in many cases is difficult to visualize due to constraints in information format and nature. However, with advancements in computer technologies, these difficulties may be overcome and information visualization could make HCI more effective.



























