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Security and Privacy in User Modeling

  • Jörg Schreck

Part of the Human-Computer Interaction Series book series (HCIS, volume 2)

Table of contents

  1. Front Matter
    Pages i-xxi
  2. Introduction

    1. Jörg Schreck
      Pages 1-8
  3. User Modeling, Security, and Privacy

    1. Front Matter
      Pages 9-9
    2. Jörg Schreck
      Pages 11-16
    3. Jörg Schreck
      Pages 17-25
    4. Jörg Schreck
      Pages 27-31
  4. Requirements for Security and Privacy in User Modeling

    1. Front Matter
      Pages 33-35
    2. Jörg Schreck
      Pages 47-61
  5. Solutions and their Applicability for User Modeling Purposes

    1. Front Matter
      Pages 63-66
    2. Jörg Schreck
      Pages 67-94
    3. Jörg Schreck
      Pages 95-156
  6. Discussion

    1. Front Matter
      Pages 157-157
    2. Jörg Schreck
      Pages 159-179
    3. Jörg Schreck
      Pages 181-186
  7. Back Matter
    Pages 187-210

About this book

Introduction

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.

Keywords

Computerrecht adaptive systems algorithms architecture information information system linear optimization modeling privacy security user modeling

Authors and affiliations

  • Jörg Schreck
    • 1
  1. 1.GMD-Forschungszentrum InformationstechnikGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-0377-2
  • Copyright Information Springer Science+Business Media B.V. 2003
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-6223-9
  • Online ISBN 978-94-017-0377-2
  • Series Print ISSN 1571-5035
  • Buy this book on publisher's site
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