Knowles, B;
Hanson, VL;
Rogers, Y;
Piper, AM;
Waycott, J;
Davies, N;
(2019)
HCI and Aging: Beyond Accessibility.
In:
CHI EA '19: Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems.
(pp. W07).
ACM
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Abstract
Despite improvements in the accessibility of digital technologies and growing numbers of tools designed specifically for older adults, adoption of such tools remains low for this demographic. This workshop aims to explore the contextual factors that contribute to reduced uptake among older adults in order to understand how to design digital technologies that will be appealing to and work for them, fitting with recent calls for more holistic approaches to designing for older adults. Going beyond standard accessibility considerations, and aiming to inform design of technologies for the general population rather than the design of senior-friendly variants of such tools, we will generate a set of principles for developing tools that older adults can and will use.
Type: | Proceedings paper |
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Title: | HCI and Aging: Beyond Accessibility |
Event: | CHI Conference on Human Factors in Computing Systems (CHI): CHI 2019, Glasgow, Scotland, UK |
Location: | Glasgow, SCOTLAND |
Dates: | 04 May 2019 - 09 May 2019 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3290607.3299025 |
Publisher version: | https://doi.org/10.1145/3290607.3299025 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Science & Technology, Technology, Computer Science, Cybernetics, Computer Science, Theory & Methods, Computer Science, HCI, aging, older adults, technology adoption, design, accessibility, participatory methods |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10113108 |




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