NDLI: The design of AHA!

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The design of AHA!

Content Provider	ACM Digital Library
Author	Stash, Natalia Smits, David De Bra, Paul
Abstract	"The Design of AHA!" is an adaptive hypertext, and thus not presented in its entirety in this short paper. Because it is not only a hypertext but also adaptive it cannot simply be presented using a linear paper or a set of HTML pages.This paper describes the design of, and demonstrates AHA! (Version 3.0), an Open Source adaptive hypermedia platform, capable of performing content and link adaptation in (x)html and xml documents. Its development started in 1996. During 10 years of research and development different new presentation, adaptation and user modeling methods and techniques have been added, turning AHA! into a general-purpose adaptive hypermedia platform. This paper presents an overview of the design and architecture of AHA!, with parts that have been published before and with recent additions like style adaptation and a new very flexible link annotation mechanism.Unlike other adaptive hypermedia systems, AHA! is not aimed at a single application area and does not prescribe a single fixed presentation style. Creating applications, defining the user models and the adaptive behavior are all done using graphical authoring tools. End-users are presented with what looks like a normal website, and need not be aware of the adaptation that goes on behind the scenes. Their browsing results in updates to a user model that is stored either in an xml file or a mySQL database, and that is thus also (in principle) available to other applications. Apart from providing a design overview this paper highlights two essential parts of AHA!: the reasoning / rule engine that translates the end-user's actions into user model updates, and the adaptive resource selection, which is used in the conditional inclusion of objects presentation technique and in the conditional link destinations navigation support technique.This paper is itself an adaptive hyperdocument. The order in which the different topics are visited determines the links that are presented and the contents of each (web)page. No matter how you browse through this paper you should end up with a very similar overall impression, and you should have seen all the information the paper contains. However, the actual contents of the pages and the actual link destinations do depend on your browsing order, so different users will not see exactly the same pages and links.
Starting Page	133
Ending Page	134
Page Count	2
File Format	PDF
ISBN	1595934170
DOI	10.1145/1149941.1149968
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2006-08-22
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Adaptive hypermedia Authoring Adaptation platform
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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