an adaptive viewing application for the web on personal digital assistants
With the proliferation of Personal Digital Assistants (PDAs), people are using such small devices to access the web; however, the web is not accommodating such access. Here, for small devices' users, we present an efficient method for extracting readable documents from XML-based files, which will be used for information streams for mobile Internet access. We designed a selector for handling information streams to extract the customized information based on the user request for the small screen devices. The selector's attributes can be adapted from an XML document, and then used for translating information streams into the new file that will be displayed on the devices. Also, the selector has visual menu interfaces so that users can easily choose each attribute according to their preferences. This is developed to devise an efficient method for the small screen computers' problems. Furthermore, we prepared usability testing for the application in order to find usability problems, and then we offer further progress to improve the usability of working on devices. The prototype and implementation of this approach will be also provided in this paper.
adapt applications web personal digital assistants personal digital assistants (pdas) device access user user efficiency method extraction documentation informal mobile internet custom attributes visualization interfaces preference computation usability usability test order prototype implementation paper adaptive user interfaces (auis) users