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Security and Privacy in User Modeling

  • Book
  • © 2003

Overview

Authors:
  1. Jörg Schreck

    1. GMD-Forschungszentrum Informationstechnik, Germany

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  • Offers a comprehensive analysis of security requirements for user modeling systems proceeding from requirements of general information systems and taking into account particular issues of user modeling

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

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxi
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  2. Introduction

    1. Introduction

      • Jörg Schreck
      Pages 1-8

  3. User Modeling, Security, and Privacy

    1. Front Matter

      Pages 9-9
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    2. User Modeling

      • Jörg Schreck
      Pages 11-16

    3. Privacy

      • Jörg Schreck
      Pages 17-25

    4. Security

      • Jörg Schreck
      Pages 27-31

  4. Requirements for Security and Privacy in User Modeling

    1. Front Matter

      Pages 33-35
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    2. Requirements for Anonymity and Pseudonymity

      • Jörg Schreck
      Pages 37-46

    3. Requirements for Security

      • Jörg Schreck
      Pages 47-61

  5. Solutions and their Applicability for User Modeling Purposes

    1. Front Matter

      Pages 63-66
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    2. Solutions for Anonymity and Pseudonymity

      • Jörg Schreck
      Pages 67-94

    3. Solutions for Security

      • Jörg Schreck
      Pages 95-156

  6. Discussion

    1. Front Matter

      Pages 157-157
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    2. Selected User Modeling Components

      • Jörg Schreck
      Pages 159-179

    3. Summary and Conclusion

      • Jörg Schreck
      Pages 181-186

  7. Back Matter

    Pages 187-210
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Keywords

About this book

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.

Authors and Affiliations

  • GMD-Forschungszentrum Informationstechnik, Germany

    Jörg Schreck

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