Participatory research with older adults with AMD:co-designing a SMART diet diary app

Hakobyan, Lilit, Lumsden, Jo and O'Sullivan, Dympna (2014). Participatory research with older adults with AMD:co-designing a SMART diet diary app. IN: HCI 2014 - Sand, Sea & Sky - Holiday HCI. BCS.

Abstract

The global population of people aged 60 years and older is growing rapidly. In the UK, there are currently around 10 million people aged 65 and over, and the number is projected to rise by 50% in the next 20 years (RNIB, 2013). While ongoing advances in information technology (IT) are undoubtedly increasing the scope for IT to enhance and support older adults' daily living, the digital divide between older and younger adults - 43% of people below the age of 55 own and use a smartphone, compared to only 3% of people aged 65 and over (AgeUK, 2013) - raises concerns about the suitability of technological solutions for older adults, especially for older adults with impairments. Evidence suggests that sympathetic design of mobile technology does render it useful and acceptable to older adults: the key issue is, however, how best to achieve such sympathetic design when working with impaired older adults. We report here on a case study in order to outline the practicalities and highlight the benefits of participatory research for the design of sympathetic technology for (and importantly with) older adults with impairments.

Publication DOI: https://doi.org/10.14236/ewic/hci2014.4
Divisions: Engineering & Applied Sciences > Computer science
Engineering & Applied Sciences > Computer science research group
Engineering & Applied Sciences > Systems analytics research institute (SARI)
Additional Information: © The Authors
Event Title: 28th International BCS Human Computer Interaction Conference: Sand, Sea and Sky - Holiday HCI
Event Type: Other
Event Dates: 2014-09-09 - 2014-09-12
Uncontrolled Keywords: age-related macular degeneration,diet diary,mobile assistive technology,older adults,participatory design,user-centred design,Human-Computer Interaction,Artificial Intelligence,Computer Networks and Communications
Full Text Link: http://ewic.bcs ... ConWebDoc/54182
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
Published Date: 2014-09-09
Authors: Hakobyan, Lilit
Lumsden, Jo ( 0000-0002-8637-7647)
O'Sullivan, Dympna

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