by Jae Kyung Kim
Jae Kyung explored notions of data transparency in this project: “The ability to easily access and work with data no matter where they are located or what application created them….The assurance that data being reported are accurate and are coming from the official source.” Her research question was thus about how to engage viewers with data visualisation while making them aware of issues of data transparency.
She explored this through the autocomplete function built into contemporary text-entry systems. In Google, she says, autocomplete is similar to the old Google Suggest – a collection of suggested phrases/words based on what other people have entered previously. “They are trying to anticipate your search query before you have finished typing,” she says.
She then used this data to distort each letter, in a new data-driven typeface created in Nodebox.
Kellogg, R., Knoll, M. and Kugler, J., 1965. Form-similarity between phosphenes of adults and pre-school children’s scribblings. Nature, 208(5015), pp.1129-30.