Mobile support for adults with mild learning disabilities during clinical consultations
Gibson, Ryan Colin and Bouamrane, Matt-Mouley and Dunlop, Mark (2018) Mobile support for adults with mild learning disabilities during clinical consultations. In: 20th International Conference on Human-Computer Interaction with Mobile Devices and Services, 2018-09-03 - 2018-09-06. (https://doi.org/10.1145/3229434.3229469)
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Abstract
Some of the factors that explain poor health outcomes for people with learning disabilities (LDs) include multi-morbidity and underdiagnosed health conditions. Previous studies have suggested that this population face significant communication barriers when interacting with health professionals and this is a major contributing factor to such diagnosis complications. Consequently, such health barriers are often preventable. However, there is a surprising lack of research-based technologies available that intend to promote this communication. We aim to address this gap by investigating the potential of using mobile technologies to support adults with mild LDs during clinical consultations. To achieve this, we interviewed a number of domain experts including government advisors, academics, support workers and General Practitioners. We then developed a technology probe to inform the information extracted and subsequently created a set of design guidelines for the development of Augmentative and Communicative technologies that target the clinical needs of adults with mild LDs.
ORCID iDs
Gibson, Ryan Colin ORCID: https://orcid.org/0000-0002-0425-1486, Bouamrane, Matt-Mouley ORCID: https://orcid.org/0000-0002-1416-751X and Dunlop, Mark ORCID: https://orcid.org/0000-0002-4593-1103;-
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Item type: Conference or Workshop Item(Paper) ID code: 65169 Dates: DateEvent3 September 2018Published14 April 2018AcceptedSubjects: Science > Mathematics > Electronic computers. Computer science Department: Faculty of Science > Computer and Information Sciences Depositing user: Pure Administrator Date deposited: 15 Aug 2018 08:45 Last modified: 11 Nov 2024 16:55 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/65169