@inproceedings{f6db2d20856742b59a61a8af52b8a393,
title = "Assessing the inclusivity of digital interfaces - A proposed method",
abstract = "In the assessment of the inclusivity of products with interfaces for digital devices, there are difficulty and validity issues relating the cognitive demand of using and learning an unfamiliar interface to the capabilities outlined in the population source data. This is due to the disparity between the types of cognitive tasks used to create the source data, and those needed to operate a digital interface. Previous work to understand the factors affecting successful interactions with novel digital technology interfaces has shown that the user{\textquoteright}s technology generation, technology prior experience and their motivation are significant. This paper suggests a method which would permit digital interfaces to be assessed for inclusivity by similarity to known interaction patterns. For a digital device interface task that contained a non-transparent or novel interaction pattern, then the resulting cognitive workload could also be assessed.",
keywords = "Errors, Exclusion audit, Inclusive design, Older user, Prior experience, Usability",
author = "Michael Bradley and Patrick Langdon and Clarkson, {P. John}",
year = "2015",
doi = "10.1007/978-3-319-20678-3_3",
language = "English",
isbn = "9783319206776",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "25--33",
editor = "Margherita Antona and Constantine Stephanidis and Constantine Stephanidis",
booktitle = "Universal Access in Human-Computer Interaction",
note = "9th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2015 Held as Part of 17th International Conference on Human-Computer Interaction, HCI International 2015 ; Conference date: 02-08-2015 Through 07-08-2015",
}