Increasing independence for older adults who need technology support

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Increasing independence for older adults who need technology support

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Author(s): Ashleigh Kruger , Sanjit Samaddar

Publication date (Print): August 2023

Conference name: 36th International BCS Human-Computer Interaction Conference (BCS HCI 23)

Conference theme: The BCS Human-Computer Interaction Conference 2023 was co-located with the INTERACT 2023 conference, the theme of which was "Design for Equlity and Justice", as increasingly, computer science as a discipline is becoming concerned about issues of justice and equality – from fake news to rights for robots, from the ethics of driverless vehicles to the gamergate controversy. The BCS HCI Conference welcomed submissions on all aspects of human-computer interaction. Topics included: User Experience, usability testing and interaction design; Education and Health; Smart Energy, Smart Transport and the Internet of Things; Interaction Technologies and Applications.

Conference date: 28–29 August 2023

Keywords: User centred design, Older people, Increasing independence, Assistive Technology

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Author and article information

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Ashleigh Kruger

Sanjit Samaddar

Conference

Publication date: August 2023

Publication date (Print): August 2023

Pages: 76-88

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[0001]School of Arts and Creative Technologies, University of York

University of York, York, YO10 5DD, United Kingdom

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DOI: 10.14236/ewic/BCSHCI2023.10

SO-VID: 3003dc47-4577-4776-8e6e-b9de906a9e1f

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This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: 36th International BCS Human-Computer Interaction Conference

Conference acronym: BCS HCI 23

Conference number: 36

Conference location: University of York, UK

Conference date: 28–29 August 2023

Conference sponsor: Electronic Workshops in Computing (eWiC)

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1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/BCSHCI2023.10

Self URI (journal page): https://ewic.bcs.org/

REFERENCES

Age UK (2021) ‘Digital inclusion and older people – how have things changed in a Covid-19 world?’, (March), pp. 1–14. Available at: https://www.ageuk.org.uk/globalassets/age-uk/documents/reports-and-publications/reports-and-briefings/active-communities/digital-inclusion-in-the-pandemic-final-march-2021.pdf.
Barnard, Y. et al. (2013) ‘Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability’, Computers in human behavior, 29(4), pp. 1715–1724.
Bernard, M., Liao, C. H. and Mills, M. (2001) ‘The effects of font type and size on the legibility and reading time of online text by older adults’, CHI ’01 extended abstracts on Human factors in computer systems - CHI ’01, p. 175. doi: 10.1145/634164.634173.
Bowen, J. et al. (2020) ‘Personas revisited: Extending the use of personas to enhance participatory design’, in Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, pp. 1–12.
Chopik, W. J. (2016) ‘The benefits of social technology use among older adults are mediated by reduced loneliness’, Cyberpsychology, Behavior, and Social Networking, 19(9), pp. 551–556.
Czaja, S. J. and Lee, C. C. (2007) ‘The impact of aging on access to technology’, Universal access in the information society, 5, pp. 341–349.
Gell, N. M. et al. (2015) ‘Patterns of technology use among older adults with and without disabilities’, The Gerontologist, 55(3), pp. 412–421.
Heart, T. and Kalderon, E. (2013) ‘Older adults: are they ready to adopt health-related ICT?’, International journal of medical informatics, 82(11), pp. e209–e231.
Iancu, I. and Iancu, B. (2020) ‘Designing mobile technology for elderly. A theoretical overview’, Technological Forecasting and Social Change, 155, p. 119977.
Kim, H. et al. (2007) ‘Contextual research on elderly users’ needs for developing universal design mobile phone’, in Universal Acess in Human Computer Interaction. Coping with Diversity: 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007, Held as Part of HCI International 2007, Beijing, China, July 22-27, 2007, Proceedings, Part I 4. Springer, pp. 950–959.
Lee, B., Chen, Y. and Hewitt, L. (2011) ‘Age differences in constraints encountered by seniors in their use of computers and the internet’, Computers in human behavior, 27(3), pp. 1231–1237.
Lövdén, M. et al. (2020) ‘Education and cognitive functioning across the life span’, Psychological Science in the Public Interest, 21(1), pp. 6–41.
Mitzner, T. L. et al. (2010) ‘Older adults talk technology: Technology usage and attitudes’, Computers in human behavior, 26(6), pp. 1710–1721.
Niehaves, B. and Plattfaut, R. (2014) ‘Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide’, European Journal of Information Systems, 23, pp. 708–726.
Nikou, S. (2015) ‘Mobile technology and forgotten consumers: the young-elderly’, International Journal of Consumer Studies, 39(4), pp. 294–304.
Nimrod, G. (2018) ‘Technophobia among older Internet users’, Educational Gerontology, 44(2–3), pp. 148–162.
Rosenthal, R. L. (2008) ‘Older computer-literate women: Their motivations, obstacles, and paths to success’, Educational Gerontology, 34(7), pp. 610–626.
Wilson, G. et al. (2023) ‘Understanding older adults’ use of social technology and the factors influencing use’, Ageing & Society, 43(1), pp. 222–245.
Young, R. et al. (2014) ‘“Willing but unwilling”: attitudinal barriers to adoption of home-based health information technology among older adults’, Health informatics journal, 20(2), pp. 127–135.

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[1] Age UK (2021) ‘Digital inclusion and older people – how have things changed in a Covid-19 world?’, (March), pp. 1–14. Available at: https://www.ageuk.org.uk/globalassets/age-uk/documents/reports-and-publications/reports-and-briefings/active-communities/digital-inclusion-in-the-pandemic-final-march-2021.pdf.

[2] Barnard, Y. et al. (2013) ‘Learning to use new technologies by older adults: Perceived difficulties, experimentation behaviour and usability’, Computers in human behavior, 29(4), pp. 1715–1724.

[3] Bernard, M., Liao, C. H. and Mills, M. (2001) ‘The effects of font type and size on the legibility and reading time of online text by older adults’, CHI ’01 extended abstracts on Human factors in computer systems - CHI ’01, p. 175. doi: 10.1145/634164.634173.

[4] Bowen, J. et al. (2020) ‘Personas revisited: Extending the use of personas to enhance participatory design’, in Proceedings of the 11th Nordic Conference on Human-Computer Interaction: Shaping Experiences, Shaping Society, pp. 1–12.

[5] Chopik, W. J. (2016) ‘The benefits of social technology use among older adults are mediated by reduced loneliness’, Cyberpsychology, Behavior, and Social Networking, 19(9), pp. 551–556.

[6] Czaja, S. J. and Lee, C. C. (2007) ‘The impact of aging on access to technology’, Universal access in the information society, 5, pp. 341–349.

[7] Gell, N. M. et al. (2015) ‘Patterns of technology use among older adults with and without disabilities’, The Gerontologist, 55(3), pp. 412–421.

[8] Heart, T. and Kalderon, E. (2013) ‘Older adults: are they ready to adopt health-related ICT?’, International journal of medical informatics, 82(11), pp. e209–e231.

[9] Iancu, I. and Iancu, B. (2020) ‘Designing mobile technology for elderly. A theoretical overview’, Technological Forecasting and Social Change, 155, p. 119977.

[10] Kim, H. et al. (2007) ‘Contextual research on elderly users’ needs for developing universal design mobile phone’, in Universal Acess in Human Computer Interaction. Coping with Diversity: 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007, Held as Part of HCI International 2007, Beijing, China, July 22-27, 2007, Proceedings, Part I 4. Springer, pp. 950–959.

[11] Lee, B., Chen, Y. and Hewitt, L. (2011) ‘Age differences in constraints encountered by seniors in their use of computers and the internet’, Computers in human behavior, 27(3), pp. 1231–1237.

[12] Lövdén, M. et al. (2020) ‘Education and cognitive functioning across the life span’, Psychological Science in the Public Interest, 21(1), pp. 6–41.

[13] Mitzner, T. L. et al. (2010) ‘Older adults talk technology: Technology usage and attitudes’, Computers in human behavior, 26(6), pp. 1710–1721.

[14] Niehaves, B. and Plattfaut, R. (2014) ‘Internet adoption by the elderly: employing IS technology acceptance theories for understanding the age-related digital divide’, European Journal of Information Systems, 23, pp. 708–726.

[15] Nikou, S. (2015) ‘Mobile technology and forgotten consumers: the young-elderly’, International Journal of Consumer Studies, 39(4), pp. 294–304.

[16] Nimrod, G. (2018) ‘Technophobia among older Internet users’, Educational Gerontology, 44(2–3), pp. 148–162.

[17] Rosenthal, R. L. (2008) ‘Older computer-literate women: Their motivations, obstacles, and paths to success’, Educational Gerontology, 34(7), pp. 610–626.

[18] Wilson, G. et al. (2023) ‘Understanding older adults’ use of social technology and the factors influencing use’, Ageing & Society, 43(1), pp. 222–245.

[19] Young, R. et al. (2014) ‘“Willing but unwilling”: attitudinal barriers to adoption of home-based health information technology among older adults’, Health informatics journal, 20(2), pp. 127–135.

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