{"title":"Data-centric collaboration for wired and wireless platforms","authors":"I. Marsic","doi":"10.1109/ITI.2002.1024646","DOIUrl":null,"url":null,"abstract":"With the proliferation of mobile computing devices there is an increasing demand for applications supporting collaboration among users working in the field and in the office. A key component for collaboration in this domain is sharing and manipulation of information using very different devices and communications. We propose a novel, data-centric collaboration paradigm, where each user can obtain a subset of the shared data and the data may be visualized differently for different users. The data amount and the visualization technique reflect the user's interests and/or computing and communication capabilities. The users collaborate on and exchange data, and the data is dynamically transformed to adapt to the particular computing/network platform. The resulting design is simple yet very powerful and scalable. It is implemented and tested by developing several complex groupware applications.","PeriodicalId":420216,"journal":{"name":"ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ITI 2002. Proceedings of the 24th International Conference on Information Technology Interfaces (IEEE Cat. No.02EX534)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITI.2002.1024646","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the proliferation of mobile computing devices there is an increasing demand for applications supporting collaboration among users working in the field and in the office. A key component for collaboration in this domain is sharing and manipulation of information using very different devices and communications. We propose a novel, data-centric collaboration paradigm, where each user can obtain a subset of the shared data and the data may be visualized differently for different users. The data amount and the visualization technique reflect the user's interests and/or computing and communication capabilities. The users collaborate on and exchange data, and the data is dynamically transformed to adapt to the particular computing/network platform. The resulting design is simple yet very powerful and scalable. It is implemented and tested by developing several complex groupware applications.