2017
DOI: 10.1007/s11257-017-9196-z
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A knowledge-based approach to user interface adaptation from preferences and for special needs

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Cited by 24 publications
(17 citation statements)
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“…Other user characteristics include cognitive and physical ability (Loitsch et al. 2017), knowledge (Pelánek 2017), interests (Piao and Breslin 2018), and affect (Mizgajski and Morzy 2018; Grawemeyer et al. 2017).…”
mentioning
confidence: 99%
“…Other user characteristics include cognitive and physical ability (Loitsch et al. 2017), knowledge (Pelánek 2017), interests (Piao and Breslin 2018), and affect (Mizgajski and Morzy 2018; Grawemeyer et al. 2017).…”
mentioning
confidence: 99%
“…This aspect is even more relevant whether individuals with disabilities are considered. In this case, personalization in terms of simplification is crucial to increase the control interface accessibility and inclusiveness (Loitsch et al, 2017;Estes et al, 2020). Another aspect of usability that should be present in these types of applications is the flexibility of use.…”
Section: Discussionmentioning
confidence: 99%
“…In the AAL domain, there are systems that try to profile the users according to their disabilities and impairments and then map them to the most appropriate services. Loitsct et al [27] presented a matchmaker that maps the needs and preferences of a person with respect to accessibility with customisation features and accessibility aids available on the interactive devices that the person is using in a certain context. The REMBAD system [28] uses proactive recommendation technology to profile participants and groups with mild-to-moderate dementia and offers interactive multimedia content from the Internet to match these profiles.…”
Section: Related Workmentioning
confidence: 99%