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Human-Machine Interaction and Intelligent Understanding in Disseminating Video
Author(s) -
Zhang Xiao,
Yang Deling
Publication year - 2017
Publication title -
journal of media critiques
Language(s) - English
Resource type - Journals
ISSN - 2056-9793
DOI - 10.17349/jmc117313
Subject(s) - dissemination , computer science , human–computer interaction , human interaction , multimedia , telecommunications
In the realm of video, humans use machines to record human histories, beliefs, attitudes, desires, and dreams. Humans and a range of digital media devices are becoming increasingly fused into “human-machines” with trans-humanist lives and existences. Viewers stare at the screen, and the screen of the device “stares” back. Through data collection and analysis, machines can “analyze” and “understand” viewer’s choices of and reactions to videos. Through big data, the internet, and other means, machines are reaching the roots of video creation. Intelligent human-machine interaction in video creation and dissemination is happening. This re-use of data helps people to make decisions about the production and dissemination of video content. Human-machine interaction in video creation and dissemination is inevitable as machines intervene in a networked society and as big data and algorithms intervene in the emotional expressions of video creators.

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