Please use this identifier to cite or link to this item: https://doi.org/10.1007/11558651_54
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dc.titleAesthetic entertainment of social network interaction: Free Network Visible Network
dc.contributor.authorCheok, A.D.
dc.contributor.authorXu, K.
dc.contributor.authorLiu, W.
dc.contributor.authorGarcia, D.D.
dc.contributor.authorTovar, C.B.
dc.date.accessioned2014-06-19T02:58:29Z
dc.date.available2014-06-19T02:58:29Z
dc.date.issued2005
dc.identifier.citationCheok, A.D., Xu, K., Liu, W., Garcia, D.D., Tovar, C.B. (2005). Aesthetic entertainment of social network interaction: Free Network Visible Network. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3711 LNCS : 527-530. ScholarBank@NUS Repository. https://doi.org/10.1007/11558651_54
dc.identifier.isbn3540290346
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/69246
dc.description.abstractFree Network Visible Network is an active media system that uses the possibilities of the new technologies to create new landscapes in the public space by means of the visualization of the data that ow between digital networks. It changes our perception of the world with the "invisible meanings" that are around us. Mixed Reality Technology and Internet Traffic Listening system are adopted in this project in order to visualize, floating in the space, the interchanged information between users of a network. The people are able to experience in a new exciting way about how colorful virtual objects, representing the digital data, are flying around. These virtual objects will change their shape, size and color in relation with the different characteristics of the information that is circulating in the network. By the use of the objects exciting movement through space, users will feel fun and aesthetic entertainment at observing the social digital communications in their physical space and city streets. © IFIP International Federation for Information Processing 2005.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/11558651_54
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1007/11558651_54
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume3711 LNCS
dc.description.page527-530
dc.identifier.isiutNOT_IN_WOS
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