| Human-Information Interaction (HII) is an area of study that is rapidly gaining more attention. It investigates how people interact with the growing amounts of information they are faced with on a daily basis. This increase in interest can be attributed to the ever-growing number of sources of data that people must disseminate on a daily basis and the large amount of information drawn from these. In addition to the well-known data sources like personal communications and web information; users are utilizing new sources of information, including Internet Of Things, Big-Data, and Cloud computing. For an inexperienced user to gain the most benefit from thus vast quantity of information from varying sources, it is essential that new user interaction modes are created in such a way to parse through the information in a timely manner. In this dissertation, we present new frameworks (Quick Vis and Search++) that allow users to better manage, visualize, and analyze their data. The frameworks focus on multiply-linked views to illustrate details of data subsets and allow users to gain insight that has not been previously possible. Additionally, we propose a many-user collaboration technique for both frameworks that improves shared knowledge of the data being explored. |
