Persuasive design principles and user models for people with motor disabilities

Sofia Fountoukidou, Jaap R.C. Ham, Uwe Matzat, Cees J.H. Midden

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)


When developing effective assistive technology, it is crucial to focus on how acceptance and continued use of the technology can be optimized considering the (complexity of the) user and his or her situation. Therefore, this chapter describes methods for creating user models and shows how these were applied to user groups (patients with spinal cord injury, Parkinson's disorder and neuromuscular disorders) of a newly developed assistive technology (AT). The user models include user characteristics such as demographics, relevant medical information, computer interaction behaviour and attitudes towards novel assistive devices. Next, this chapter describes persuasive strategies to improve user acceptance and continued use of AT, specifically aimed at motivating individuals with disabilities to learn to operate the AT and to use it, in order to increase their social participation. Also, this chapter shows how empirical research has tested the effectiveness of the proposed persuasive and personalization (i.e., incorporating user model knowledge) design elements. Finally, this chapter shows how the implications of these findings were used to improve the persuasive design requirements of the AT. In sum, this chapter shows how persuasive personalized design principles (implemented into the AT) improve user acceptance (evaluations) and continued use (performance).
Original languageEnglish
Title of host publicationSignal Processing to Drive Human-Computer Interaction
Subtitle of host publicationEEG and eye-controlled interfaces
EditorsSpiros Nikolopoulos, Chandan Kumar, Ioannis Kompatsiaris
PublisherInstitution of Engineering and Technology (IET)
Number of pages31
ISBN (Electronic)9781785619205
ISBN (Print)9781785619199
Publication statusPublished - 2020

Bibliographical note

Publisher Copyright:
© The Institution of Engineering and Technology 2020.


  • Computer assistance for persons with handicaps
  • Computer interaction behaviour
  • Demographics
  • Demography
  • Effective assistive technology
  • Handicapped aids
  • Motor disabilities
  • Neuromuscular disorders
  • Parkinson’s disorder
  • Persuasive personalized design principles
  • Relevant medical information
  • Social participation
  • Spinal cord injury
  • User acceptance
  • User groups
  • User models


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