Sharing views and interactions with single-user applications
COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems
MMConf: an infrastructure for building shared multimedia applications
CSCW '90 Proceedings of the 1990 ACM conference on Computer-supported cooperative work
Design for conversation: lessons from Cognoter
Computer-supported cooperative work and groupware
Computer-supported cooperative work and groupware
Computer-supported cooperative work and groupware
Real time groupware as a distributed system: concurrency control and its effect on the interface
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
How designers transform keywords into visual images
C&C '02 Proceedings of the 4th conference on Creativity & cognition
Image Categorization by Learning and Reasoning with Regions
The Journal of Machine Learning Research
From function to context to form: precedents and focus shifts in the form creation process
Proceedings of the 5th conference on Creativity & cognition
Visualization of large hierarchical data by circle packing
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Sandbox for analysis: concepts and methods
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visual exploration of multivariate graphs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Visualizing email content: portraying relationships from conversational histories
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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The aim of this research is to suggest folksonomy-based collaborative tagging system for supporting designers in group who interpret visualized information such as images through grouping, labeling and classifying for design inspiration. We performed field observation and preliminary studies to examine how designers interpret visualized information in group work. We found that traditional classification methods have some problems like lack of surface and time consuming. Based on this research, we developed PC based group work application, named I-VIDI. By implementing I-VIDI based on functional requirements, we have showed how I-VIDI reduces problems found from current image classification methods such as KJ clustering and MDS. In future case study, we plan to conduct extensive user research to evaluate the system further as well as adding more functions which can be usefully applied to collaborative design work.