Rethinking context

Leveraging human and machine computation in disaster response

Sarah Vieweg, Adam Hodges

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish
Article number6798550
Pages (from-to)22-27
Number of pages6
JournalComputer
Volume47
Issue number4
DOIs
Publication statusPublished - 1 Jan 2014

Fingerprint

Hybrid systems
Disasters
Artificial intelligence
Computer systems

Keywords

  • Artificial Intelligence for Disaster Response
  • aware computing
  • computer-supported collaborative work
  • computers and society
  • context-aware computing
  • disaster response
  • human-computer interaction
  • microblogging
  • situational awareness
  • social networking
  • Twitter

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Rethinking context : Leveraging human and machine computation in disaster response. / Vieweg, Sarah; Hodges, Adam.

In: Computer, Vol. 47, No. 4, 6798550, 01.01.2014, p. 22-27.

Research output: Contribution to journalArticle

Vieweg, Sarah ; Hodges, Adam. / Rethinking context : Leveraging human and machine computation in disaster response. In: Computer. 2014 ; Vol. 47, No. 4. pp. 22-27.
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