An evaluation of tailored web materials for public administration

Nathalie Colineau*, Cécile Paris, Keith Vander Linden

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

3 Citations (Scopus)

Abstract

Public Administration organizations generally write their citizen-focused, informational materials for generic audiences because they don't have the resources to produce personalized materials for everyone. The goal of this project is to replace these generic materials, which must include careful discussions of the conditions distinguishing the various constituencies within the generic audience, with tailored materials, which can be automatically personalized to focus on the information relevant to an individual reader. Two key questions must be addressed. First, are the automatically produced, tailored forms more effective than the generic forms they replace, and second, is the time the reader spends specifying the demographic information on which the tailoring is based too costly to be worth the effort. This paper describes an adaptive hypermedia application that produces tailored materials for students exploring government educational entitlement programs, and focuses in particular on the effectiveness of the generated tailored material.

Original languageEnglish
Title of host publicationHT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media
PublisherAssociation for Computing Machinery (ACM)
Pages265-274
Number of pages10
ISBN (Print)9781450313353
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event23rd ACM Conference on Hypertext and Social Media, HT'12 - Milwaukee, WI, United States
Duration: 25 Jun 201228 Jun 2012

Other

Other23rd ACM Conference on Hypertext and Social Media, HT'12
CountryUnited States
CityMilwaukee, WI
Period25/06/1228/06/12

Keywords

  • Natural language generation
  • Public Administration
  • Tailored information delivery

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