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10. Personalizing the user interface for people with disabilities

  • Julio Abascal , Olatz Arbelaitz , Xabier Gardeazabal , Javier Muguerza , J. Eduardo Pérez , Xabier Valencia and Ainhoa Yera
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Personalized Human-Computer Interaction
This chapter is in the book Personalized Human-Computer Interaction

Abstract

Computer applications, and especially the Internet, provide many people with disabilities with unique opportunities for interpersonal communication, social interaction, and active participation (including access to labor and entertainment). Nevertheless, rigid user interfaces often present accessibility barriers to people with physical, sensory, or cognitive impairments. Accordingly, user interface personalization is crucial to overcome these barriers, allowing a considerable section of the population with disabilities to have computer access. Adapting the user interface to people with disabilities requires taking into consideration their physical, sensory, or cognitive abilities and restrictions and then providing alternative access procedures according to their capacities. This chapter presents methods and techniques that are applied to research and practice on user interface personalization for people with disabilities and discusses possible approaches for diverse application fields where personalization is required: accessibility to the web using transcoding, web mining for eGovernment, and human-robot interaction for people with severe motor restrictions.

Abstract

Computer applications, and especially the Internet, provide many people with disabilities with unique opportunities for interpersonal communication, social interaction, and active participation (including access to labor and entertainment). Nevertheless, rigid user interfaces often present accessibility barriers to people with physical, sensory, or cognitive impairments. Accordingly, user interface personalization is crucial to overcome these barriers, allowing a considerable section of the population with disabilities to have computer access. Adapting the user interface to people with disabilities requires taking into consideration their physical, sensory, or cognitive abilities and restrictions and then providing alternative access procedures according to their capacities. This chapter presents methods and techniques that are applied to research and practice on user interface personalization for people with disabilities and discusses possible approaches for diverse application fields where personalization is required: accessibility to the web using transcoding, web mining for eGovernment, and human-robot interaction for people with severe motor restrictions.

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/10.1515/9783110552485-010

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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