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Electronic Edition @ Iscram.org (open Access).pdf

221_Tucker_etal2012.pdf

Preview of electronic edition @ iscram.org (open access)

🔗 Source: idl.iscram.org

📊 Size: 588 KB

👤 Author: Originally created by Ping Zhang / modified by Bartel Van de Walle

⬇️ Downloads: 139

Summary

Tucker et al. explored a collational interface for emergency response, comparing it to a paper-based interface and one presenting uncollated data. The study found that the collational interface allowed users to build a picture of an emergency, but not necessarily in less time. The interface used natural language processing to analyze information from multiple sources, including social media and citizen reports, and presented it in a filterable and browsable format. The study used a dataset of 90 images and 18 comments related to nine imaginary emergency incidents in a UK city, and found that the collational interface supported users in exploring emergency information, but its effectiveness in reducing response time was not significant.

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Description

Tucker et al. explored a collational interface for emergency response, comparing it to a paper-based interface and one presenting uncollated data.

Technical Information

File Format: PDF
File Size: 588 KB
Pages: 5
Language: EN
Author: Originally created by Ping Zhang / modified by Bartel Van de Walle
Total Downloads: 139
Last Updated: 8 hours ago

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