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dc.contributor.author Heumader, Peter en
dc.contributor.author Morales, Tomas Murillo en
dc.contributor.author Miesenberger, Klaus en
dc.date.accessioned 2022-06-20T21:01:32Z
dc.date.available 2022-06-20T21:01:32Z
dc.date.issued 2022 en
dc.identifier.issn 2330-4219 en
dc.identifier.uri http://hdl.handle.net/10211.3/223465
dc.description 37th Annual Assistive Technology Conference Scientific/Research Proceedings, online 2022 en
dc.description.abstract Nowadays a considerable amount of assistive technology (AT) is available for people with cognitive disabilities. However, many users with cognitive disabilities do not make use of any AT, as they are not aware of which suitable technologies are available for their specific needs. This paper describes a modern web-based recommendation system, named Buddy, that enables persons with a cognitive disability to discover AT without the need for external support en
dc.format application/pdf en
dc.format.extent 11 pages en
dc.language.iso eng en
dc.publisher California State University, Northridge. en
dc.rights Creative Commons Attribution-NoDerivs 4.0 Unported License.; Copyright 2022 by the authors and California State University, Northridge
dc.subject web accessibility en
dc.subject cognitive accessibility en
dc.subject assistive technology en
dc.title AI Based Recommendation and Assessment of AT for People with Cognitive Disabilities en
dc.type Articles en


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