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4 Personalization and user modeling for interaction processes

  • Mirjam Augstein and Thomas Neumayr
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Personalized Human-Computer Interaction
This chapter is in the book Personalized Human-Computer Interaction

Abstract

Personalization in computer-based systems aims at supporting users individually, by tailoring various system characteristics and components according to their respective needs and prerequisites. Traditionally, the emphasis hereby has most often been on either the content provided by the system, the way it is presented to the users or the way how users navigate through the system. However, additionally, the interaction process itself can be in the focus of a personalization approach. By personalized interaction processes, we subsume activities related to either efforts to personalize input on the user’s side (e. g., through an individually tailored choice of input devices or their configuration), or a system’s personalized output to a user (e. g., output modalities tailored to a user’s abilities or preferences). In this chapter, we provide a concise overview of literature on personalized interaction processes and underlying user modeling activities and domains that have been in the focus of related research, and discuss the evolvement of this field throughout the past decades.

Abstract

Personalization in computer-based systems aims at supporting users individually, by tailoring various system characteristics and components according to their respective needs and prerequisites. Traditionally, the emphasis hereby has most often been on either the content provided by the system, the way it is presented to the users or the way how users navigate through the system. However, additionally, the interaction process itself can be in the focus of a personalization approach. By personalized interaction processes, we subsume activities related to either efforts to personalize input on the user’s side (e. g., through an individually tailored choice of input devices or their configuration), or a system’s personalized output to a user (e. g., output modalities tailored to a user’s abilities or preferences). In this chapter, we provide a concise overview of literature on personalized interaction processes and underlying user modeling activities and domains that have been in the focus of related research, and discuss the evolvement of this field throughout the past decades.

Chapters in this book

  1. Frontmatter I
  2. Introduction V
  3. Contents IX
  4. List of Contributing Authors XI
  5. Part I: Foundations of personalization
  6. 1 Theory-grounded user modeling for personalized HCI 1
  7. 2 User-centered recommender systems 33
  8. 3 Fairness of information access systems 59
  9. Part II: User input and feedback
  10. 4 Personalization and user modeling for interaction processes 81
  11. 5 How to use socio-emotional signals for adaptive training 99
  12. 6 Explanations and user control in recommender systems 129
  13. 7 Feedback loops and mutual reinforcement in personalized interaction 153
  14. Part III: Personalization purposes and goals
  15. 8 Personalizing the user interface for people with disabilities 175
  16. 9 Personalized persuasion for behavior change 205
  17. 10 Personalization approaches for remote collaborative interaction 237
  18. Part IV: Personalization domains
  19. 11 Listener awareness in music recommender systems: directions and current trends 279
  20. 12 Tourist trip recommendations – foundations, state of the art and challenges 313
  21. 13 Pictures as a tool for matching tourist preferences with destinations 337
  22. Index 355
https://doi.org/10.1515/9783110988567-004

Chapters in this book

  1. Frontmatter I
  2. Introduction V
  3. Contents IX
  4. List of Contributing Authors XI
  5. Part I: Foundations of personalization
  6. 1 Theory-grounded user modeling for personalized HCI 1
  7. 2 User-centered recommender systems 33
  8. 3 Fairness of information access systems 59
  9. Part II: User input and feedback
  10. 4 Personalization and user modeling for interaction processes 81
  11. 5 How to use socio-emotional signals for adaptive training 99
  12. 6 Explanations and user control in recommender systems 129
  13. 7 Feedback loops and mutual reinforcement in personalized interaction 153
  14. Part III: Personalization purposes and goals
  15. 8 Personalizing the user interface for people with disabilities 175
  16. 9 Personalized persuasion for behavior change 205
  17. 10 Personalization approaches for remote collaborative interaction 237
  18. Part IV: Personalization domains
  19. 11 Listener awareness in music recommender systems: directions and current trends 279
  20. 12 Tourist trip recommendations – foundations, state of the art and challenges 313
  21. 13 Pictures as a tool for matching tourist preferences with destinations 337
  22. Index 355
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