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 language | English |
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Title of host publication | HT'12 - Proceedings of 23rd ACM Conference on Hypertext and Social Media |
Publisher | Association for Computing Machinery (ACM) |
Pages | 265-274 |
Number of pages | 10 |
ISBN (Print) | 9781450313353 |
DOIs | |
Publication status | Published - 2012 |
Externally published | Yes |
Event | 23rd ACM Conference on Hypertext and Social Media, HT'12 - Milwaukee, WI, United States Duration: 25 Jun 2012 → 28 Jun 2012 |
Other
Other | 23rd ACM Conference on Hypertext and Social Media, HT'12 |
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Country/Territory | United States |
City | Milwaukee, WI |
Period | 25/06/12 → 28/06/12 |
Keywords
- Natural language generation
- Public Administration
- Tailored information delivery