DocumentCode :
78922
Title :
Rethinking Context: Leveraging Human and Machine Computation in Disaster Response
Author :
Vieweg, Sarah ; Hodges, Adam
Author_Institution :
Qatar Comput. Res. Inst., Qatar
Volume :
47
Issue :
4
fYear :
2014
fDate :
Apr. 2014
Firstpage :
22
Lastpage :
27
Abstract :
Human-computer systems that treat context simply as enumerated facts, rules, or axioms about the surrounding physical and social environment will always have trouble handling information requiring human pragmatic interpretation. One way to overcome such limitations is to draw upon human pragmatic awareness to create hybrid systems capable of both extracting large quantities of data and processing that data in a way that is meaningful to users. The Web extra at http://youtu.be/pqI2qcigiCw is a video demonstrating Artificial Intelligence for Disaster Response (AIDR), a free, open source, and easy-to-use platform to filter and classify relevant microblog messages during humanitarian crises.
Keywords :
Web sites; classification; data handling; emergency management; information filtering; knowledge acquisition; ubiquitous computing; AIDR; Artificial Intelligence for Disaster Response; Web extra; context-aware computing; data extraction; data processing; enumerated facts; free open source processing easy-to-use platform; human computation; human pragmatic awareness; human pragmatic interpretation; human-computer system; humanitarian crisis; hybrid system; information handling; machine computation; physical environment; relevant microblog message classification; relevant microblog message filtering; social environment; Context awareness; Context-aware services; Data mining; Disasters; Human computer interaction; Information analysis; Pragmatics; Social network services; Twitter; Artificial Intelligence for Disaster Response; Twitter; aware computing; computer-supported collaborative work; computers and society; context-aware computing; disaster response; human-computer interaction; microblogging; situational awareness; social networking;
fLanguage :
English
Journal_Title :
Computer
Publisher :
ieee
ISSN :
0018-9162
Type :
jour
DOI :
10.1109/MC.2014.97
Filename :
6798550
Link To Document :
بازگشت