Towards Accessible Interactions with Pervasive Interfaces, Based on Human Capabilities

Atkinson, Matthew T.; Li, Yunqiu; Machin, Colin H. C.; Sloan, David

doi:10.1007/978-3-642-14097-6_27

Cited by 6 publications

(9 citation statements)

References 10 publications

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“…Ontologies have been broadly applied for user modelling. Some of them [6] develop comprehensive classification of user functionalities, usually based on ICF classification [27]. Others are focused on specific user characteristics [1].…”

Section: Ontologymentioning

confidence: 99%

User individuality management in websites based on WAI-ARIA annotations and ontologies

Valencia

Arrue

Pérez

et al. 2013

Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility

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In this paper, we describe a system for adapting websites based on an annotation approach. The system adapts annotated websites according to the user characteristics. The core of the system is composed of a repository containing a comprehensive set of adaptation techniques. 99 techniques have been identified and classified, 48 of them have been fully implemented in the system. This wide range of implemented techniques provides the system with the necessary mechanisms for adapting diverse aspects of website interfaces, such as the content to display, the layout and the structure. The techniques to apply for a given user are inferred according to the information stored in an ontology. This defines the bases for associating user characteristics with the adaptation techniques to apply for specific interaction elements annotated in a website. An annotation language based on the roles and properties of WAI-ARIA has been elaborated. Therefore, any website annotated in this language can be adapted. This adaptation system has been applied to two different websites and adapted interfaces have been obtained for three different user groups.

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Section: Ontologymentioning

confidence: 99%

User individuality management in websites based on WAI-ARIA annotations and ontologies

Valencia

Arrue

Pérez

et al. 2013

Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility

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“…In order to maintain a user profile that can be of use across a range of devices and applications, it is necessary to store that profile in terms of human capabilities, using ratified standards such as ICF from the World Health Organisation [7] and associated stan dard medical units of measure, rather than machine-specific quantities (such as pixel depth). Recording details about the user's fine motor dexterity can tell us how likely it is they will be able to use a mouse wheel or form certain touch gestures (as discussed in [1]). …”

Section: Human Capabilities and Reasoningmentioning

confidence: 99%

“…The key bridge to be built (described in [1]) is between the established standards for human capabilities, such as WHO's classification of functioning, disability and health [7] and those for the technical adjustments that can be made to machines, such as ISO 24751 [3]. Existing profiling methods (e.g.…”

Section: Using Existing Standardsmentioning

confidence: 99%

“…When a solution is found it then has to be checked not only for compatibility with the system, but that it does not disrupt the user through an unintended side-effect. For the technical work-package of the wider, so ciotechnical Sus-IT project 1 we have employed an adaptive support system allowing assistance to be offered that is ap propriate to the user given their capabilities [1].…”

Section: Introductionmentioning

confidence: 99%

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Towards ubiquitous accessibility

Atkinson

Bell

Machin

2012

Proceedings of the International Cross-Disciplinary Conference on Web Accessibility

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The continuing proliferation of mobile devices, content and applications presents barriers to the mainstreaming of As sistive Technologies (ATs), despite their potential utility for users in demanding situations or with minor-to-moderate impairments. We have previously proposed that user profil ing based on human rather than machine-oriented capabil ities, coupled with a shift from conspicuous ATs to consid ering a broader range of adaptations presents opportunities for platform and AT vendors to support many more users. However there has not been a standard, consistent and, most importantly, straightforward way to deliver these benefits. We propose that this delivery gap can be bridged by using the semantic web and related technologies, so the potential benefits of the capability-based approach may be realised.

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“…However, there are still some challenges to face. Firstly, in terms of UDL, there is an open issue on how to accurately assess, store, and subsequently monitor user capabilities (Atkinson, Li, Machin, & Sloan, ) which coincides with the main objective of the present paper. Secondly, adaptive elearning systems should support the process of mapping learning objects and learner's characteristics (e.g., language, accessibility, learning style, and multiple intelligence) see Mödritscher et al ().…”

Section: Introductionmentioning

confidence: 96%

Setting accessibility preferences about learning objects within adaptive elearning systems: User experience and organizational aspects

et al. 2016

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Higher and further education providers are facing the challenge of supporting the interaction needs of an increasing number of students who feature accessibility preferences to use both elearning contents and services. In the next future, we can expect that, within adaptive elearning systems, both automatic and manual procedures will interoperate to elicit users' interaction needs for ensuring accessibility. In this paper, we report findings from the user experience with the self‐assessment of interaction needs, as part of a content personalization system, which tackles possible mismatches in the interaction between the user and the learning objects. All stakeholders involved in providing this service along with intended user groups (students with visual, auditory or mobility impairments, and without impairments) participated in the evaluation with over 100 users described in this paper. From the evaluation, results follow that our approach allows students to self‐assess and report adequately their interaction preferences. Furthermore, the paper describes findings of interest and open issues about how massive online courses may address the accessibility needs of an increasing number of elearning users.

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Towards Accessible Interactions with Pervasive Interfaces, Based on Human Capabilities

Cited by 6 publications

References 10 publications

User individuality management in websites based on WAI-ARIA annotations and ontologies

User individuality management in websites based on WAI-ARIA annotations and ontologies

Towards ubiquitous accessibility

Setting accessibility preferences about learning objects within adaptive elearning systems: User experience and organizational aspects

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