Frontmatter

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