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A large-scale category-based evaluation of a visual language for adaptive hypermedia.

Khan, J. and Cristea, A. I. and Alamri, A. (2018) 'A large-scale category-based evaluation of a visual language for adaptive hypermedia.', in Proceedings of the 2018 the 3rd International Conference on Information and Education Innovations (ICIEI'18) : London, United Kingdom, June 30 - July 02, 2018. New York, NY, USA: Association for Computing Machinery, pp. 94-98. ACM international conference proceeding series.

Abstract

Adaptive Hypermedia (AH) provides a personalised and customised approach, enhancing the usability of hypermedia, by building a model of various qualities of a user and applying this information to adapt the content and the navigation to their requirements. However, authoring adaptive materials is not a simple task, as an author may be pressed for time, or simply lack the skills needed to create new adaptive materials from scratch. The most challenging part is the authoring of the adaptation specification (adaptive behaviour rules). This paper tackles this challenge by proposing and evaluating (on a large scale) a visual language for authoring of adaptive hypermedia.

Item Type:Book chapter
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1145/3234825.3234834
Publisher statement:© ACM 2018. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations (ICIEI'18), https://doi.org/10.1145/3234825.3234834.
Date accepted:22 May 2018
Date deposited:02 August 2018
Date of first online publication:30 June 2018
Date first made open access:No date available

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