Collaborative Visual Analytics: Inferring from the Spatial Organization and Collaborative Use of Information

We introduce a visual analytics environment for the support of remote-collaborative sense-making activities. Team members use their individual graphical interfaces to collect, organize and comprehend task-relevant information relative to their areas of expertise. A system of computational agents infers possible relationships among information items through the analysis of the spatial and temporal organization and collaborative use of information. The computational agents support the exchange of information among team members to converge their individual contributions. Our system allows users to navigate vast amounts of shared information effectively and remotely dispersed team members to work independently without diverting from common objectives as well as to minimize the necessary amount of verbal communication

[1]  Frank G. Halasz.  Reflections on NoteCards: seven issues for the next generation of hypermedia systems , 2001, AJCD.

[2]  R. Hastie,et al.  The common knowledge effect: Information sharing and group judgment. , 1993 .

[3]  Mark H. Johnson.  Functional brain development in humans , 2001, Nature Reviews Neuroscience.

[4]  Jiajie Zhang,et al.  The Nature of External Representations in Problem Solving , 1997, Cogn. Sci..

[5]  William B. Thompson,et al.  Building a Distance Function for Gestalt Grouping , 1975, IEEE Transactions on Computers.

[6]  Shimon Ullman.  Visual Cognition and Visual Routines , 1996 .

[7]  Ramesh R. Sarukkai,et al.  Link prediction and path analysis using Markov chains , 2000, Comput. Networks.

[8]  Warren Sack,et al.  Design for very large-scale conversations , 2000 .

[9]  G. Halasz Frank,et al.  Reflections on NoteCards: seven issues for the next generation of hypermedia systems , 1987, CACM.

[10]  David W. Payton.  Discovering Collaborators by Analyzing Trails Through an Information Space , 1998 .

[11]  William Peña,et al.  Problem Seeking: An Architectural Programming Primer , 1977 .

[12]  George W. Furnas,et al.  Making sense of sensemaking , 2005, CHI Extended Abstracts.

[13]  M. Wertheimer.  Laws of organization in perceptual forms. , 1938 .

[14]  Sui Dan-ni.  Latent Semantic Analysis for Text-Based Research , 2005 .

[15]  Saul Greenberg,et al.  The notification collage: posting information to public and personal displays , 2001, CHI.

[16]  Scott R. Klemmer,et al.  Two worlds apart: bridging the gap between physical and virtual media for distributed design collaboration , 2003, CHI '03.

[17]  Varghese P. George,et al.  Relational data in organzational settings: an introductory note for using AGNI and netgraphs to analyze nodes, relationships, partitions and boundaries , 1993 .

[18]  Thomas W. Malone,et al.  How do people organize their desks?: Implications for the design of office information systems , 1983, TOIS.

[19]  Jiajie Zhang,et al.  Representations in Distributed Cognitive Tasks , 1994, Cogn. Sci..

[20]  Rushed Kanawati,et al.  Towards a Framework for Building Collaborative Information Searching Systems , 1998, ECDL.

[21]  G. M. Wittenbaum,et al.  Mutual enhancement: Toward an understanding of the collective preference for shared information , 1999 .

[22]  David Kirsh,et al.  Complementary Strategies: Why we use our hands when we think , 1995 .