ConsentCanvas: Automatic Texturing for Improved Readability in End-User License Agreements
Oliver Schneider, Alex Garnett · 2011
We present ConsentCanvas, a system which structures and “texturizes ” End-User License Agreement (EULA) documents to be more readable. The system aims to help users better understand the terms under which they are providing their informed consent. ConsentCanvas receives unstruc-tured text documents as input and uses un-supervised natural language processing methods to embellish the source document using a linked stylesheet. Unlike similar usable security projects which employ summarization techniques, our system pre-serves the contents of the source document, minimizing the cognitive and legal burden for both the end user and the licensor. Our system does not require a corpus for train-ing. 1