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3. Automated personalization of input methods and processes

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Personalized Human-Computer Interaction
This chapter is in the book Personalized Human-Computer Interaction

Abstract

Personalization, aiming at supporting users individually and according to their individual needs and prerequisites, has been discussed in a number of domains, including learning, searching, or information retrieval. In the field of human- computer interaction, personalization also bears high potential as users might exhibit varying and strongly individual preferences and abilities related to interaction. For instance, users with certain kinds of motor impairments might not be able to use certain input devices and methods, such as touchscreens and touch-based interaction. At least a high amount of time consuming individual configuration typically arises. Further, interaction preferences might also vary among people without known impairments. Thus, personalized interaction, taking into account these prerequisites, might offer individualized support and solutions to potential problems. Personalized interaction involves automated selection and configuration of input devices but also adaptation of applications and user interfaces. This chapter discusses personalized interaction generally and presents a software framework that provides a template for a feasible technical infrastructure. Further, it explains a specific case study of personalized interaction that was implemented on the basis of the framework, and discusses an evaluation process and results for this use case.

Abstract

Personalization, aiming at supporting users individually and according to their individual needs and prerequisites, has been discussed in a number of domains, including learning, searching, or information retrieval. In the field of human- computer interaction, personalization also bears high potential as users might exhibit varying and strongly individual preferences and abilities related to interaction. For instance, users with certain kinds of motor impairments might not be able to use certain input devices and methods, such as touchscreens and touch-based interaction. At least a high amount of time consuming individual configuration typically arises. Further, interaction preferences might also vary among people without known impairments. Thus, personalized interaction, taking into account these prerequisites, might offer individualized support and solutions to potential problems. Personalized interaction involves automated selection and configuration of input devices but also adaptation of applications and user interfaces. This chapter discusses personalized interaction generally and presents a software framework that provides a template for a feasible technical infrastructure. Further, it explains a specific case study of personalized interaction that was implemented on the basis of the framework, and discusses an evaluation process and results for this use case.

Chapters in this book

  1. Frontmatter I
  2. Introduction V
  3. Contents IX
  4. List of Contributing Authors XI
  5. Part I: Foundations of user modeling
  6. 1. Theory-grounded user modeling for personalized HCI 1
  7. 2. Opportunities and challenges of utilizing personality traits for personalization in HCI 31
  8. Part II: User input and feedback
  9. 3. Automated personalization of input methods and processes 67
  10. 4. How to use socio-emotional signals for adaptive training 103
  11. 5. Explanations and user control in recommender systems 133
  12. Part III: Personalization approaches
  13. 6. Tourist trip recommendations – foundations, state of the art, and challenges 159
  14. 7. Pictures as a tool for matching tourist preferences with destinations 183
  15. 8. Towards personalized virtual reality touring through cross-object user interfaces 201
  16. 9. User awareness in music recommender systems 223
  17. 10. Personalizing the user interface for people with disabilities 253
  18. 11. Adaptive workplace learning assistance 283
  19. Index 303
https://doi.org/10.1515/9783110552485-003

Chapters in this book

  1. Frontmatter I
  2. Introduction V
  3. Contents IX
  4. List of Contributing Authors XI
  5. Part I: Foundations of user modeling
  6. 1. Theory-grounded user modeling for personalized HCI 1
  7. 2. Opportunities and challenges of utilizing personality traits for personalization in HCI 31
  8. Part II: User input and feedback
  9. 3. Automated personalization of input methods and processes 67
  10. 4. How to use socio-emotional signals for adaptive training 103
  11. 5. Explanations and user control in recommender systems 133
  12. Part III: Personalization approaches
  13. 6. Tourist trip recommendations – foundations, state of the art, and challenges 159
  14. 7. Pictures as a tool for matching tourist preferences with destinations 183
  15. 8. Towards personalized virtual reality touring through cross-object user interfaces 201
  16. 9. User awareness in music recommender systems 223
  17. 10. Personalizing the user interface for people with disabilities 253
  18. 11. Adaptive workplace learning assistance 283
  19. Index 303
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