Security and Privacy in User Modeling (Human-Computer Interaction Series)

J. Schreck

ISBN 10: 9048162238 / ISBN 13: 9789048162239

Published by Springer, 2011

About this Item

reprint edition. 210 pages. 9.50x6.50x0.50 inches. In Stock.

Seller Inventory # x-9048162238

Bibliographic Details

• Title: Security and Privacy in User Modeling (Human-Computer Interaction Series)
• Publisher: Springer
• Publication Date: 2011
• Language: English
• ISBN 10: 9048162238
• ISBN 13: 9789048162239
• Binding: Paperback
• Condition: Brand New
• Weight: 0.41 kilograms

About this title

Synopsis

User-adaptive (or "personalized") systems take individual character­ istics of their current users into account and adapt their behavior ac­ cordingly. Several empirical studies demonstrate their benefits in areas like education and training, online help for complex software, dynamic information delivery, provision of computer access to people with dis­ abilities, and to some extent information retrieval. Recently, personal­ ized systems have also started to appear on the World Wide Web where they are primarily used for customer relationship management. The aim hereby is to provide value to customers by serving them as individuals and by offering them a unique personal relationship with the business. Studies show that web visitors indeed spend considerably more time at personalized than at regular portals and view considerably more web pages. Personalized sites in general also draw more visitors and turn more visitors into buyers. Personalization therefore would look like a win-win technology for both consumers and online businesses. However, it has a major down­ side: in order to be able to exhibit personalized behavior, user-adaptive systems have to collect considerable amounts of personal data and "lay them in stock" for possible future usage. Moreover, the collection of information about the user is often performed in a relatively inconspic­ uous manner (such as by monitoring users' web navigation behavior), in order not to distract users from their tasks.