From Google to browser bookmark menus, collections of information resources are
typically presented in a form which is impoverished for cognition and
experience: the list of textual elements.
We need to represent collections of information resources in
personal forms that help us discover connections between the resources.
combinFormation is a mixed-initiative tool for browsing and collecting,
which uses sampling and composition to make connections
between information resources visible.
Information composition is a holistic, integrative representation for information collections, in which a set of visual semantic clippings and annotations is arranged to form a connected whole.
Some examples by students in ENDS 101, are here. The CreativeIT canon compositions are here.
InfoComposer is a free and open source interactive system that uses composition for collecting, arranging, annotating and browsing image and text clippings from web pages. The samples act as visual and semiotic surrogates for the documents from which they are extracted, supporting navigation back to the source. Rich metadata, like the authors, categories, and citations of articles and patents, and the price, ratings and store sections of Amazon products, is extracted for each clipping source. Compositing operations on image clippings can be used to create a visual sense of connectedness among adjacent elements.
A prior information composition system, combinFormation uses mixed-initiative information composition. Mixed-initiative systems combine pro-active software agents, which work in cooperation with the user, with direct work by the user. combinFormation's initiatives are the system's generation of composition, and the user's direct manipulation. The system's generative actions -- collecting information samples, and composing them visually -- are conducted iteratively, based on a user model. The system presents the ongoing generation of the composition to the user in an interactive information space. In this space, one of the user's initiatives is to directly manipulate the composition through interactive design operations, which enable samples to be displaced, layered, annotated, and removed. The user can also express positive or negative interest in each sample. Expressions of interest affect the model, creating a feedback loop through the visualization.
Webb, A. and Kerne, A.,
Creative Visual Thinking through Information Composition + Diagramming,
Visual Thinking & Digital Imagery Workshop, CHI 2012, Austin, TX, USA.
Webb, A.M., Kerne, A.
Integrating Implicit Structure Visualization with Authoring Promotes Ideation,
Proc Joint ACM/IEEE Conf. on Digital Libraries (JCDL),
June 13-17, 2011, Ottawa, Canada.
Kerne, A., Damaraju, S., Kumar, B., and Webb, A.
Meta-Metadata: A Semantic Architecture for Multimedia Metadata Definition, Extraction, and Presentation.
,
Poster and Demo Proceedings of the 3rd International Conference on Semantic and Digital Media Technologies,
Koblenz, Germany, 3-5 December 2008.
Webb, A.,
A Transitory Interface Component for the In-Context Visualization and Adjustment of a Value
,
M.S. thesis, Texas A&M University, August 2007.
Kerne, A., Koh, E., Choi, H., Dworaczyk, B., Smith, S.M., Hill,
R., Albea, J., Supporting
Creative Learning Experience with Compositions of Image and Text
Surrogates, Proc Ed Media 2006, June 2006, Orlando.
Kerne, A., Koh, E., Sundaram, V., Mistrot, J.M.,
Generative
semantic clustering in spatial hypertext, Proc ACM Document
Engineering 2005,
Nov 2005, Bristol, UK, 84-93.