Natural Metaphors for Information Visualizations
My thesis research investigates how one can use metaphors of natural form and behavior for information to support a better understanding of data systems.
In everyday life we receive information mediated by behavior patterns and forms of appearance. For instance, if someone is crying, we can infer that the person is sad or may be happy. We can interpret this kind of information and set it in context to the situation because of our previous experiences. This is part of our human perception and supports a better understanding of situations and information.
Users are confronted by constantly growing and changing amounts of data. There is a need for new visualizations that support understanding of information and its dynamic nature.
I use natural metaphors to represent information. This includes the structure, navigation, interactivity, visualization and presentation of content. Visual and behavioral metaphors breathe life into information, creating rich, memorable experiences for users.