The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
"Why would anybody do this?": Understanding Older Adults' Motivations and Challenges in Crowd Work
Abstract
Diversifying participation in crowd work can benefit the worker and requester. Increasing numbers of older adults are online, but little is known about their awareness of or how they engage in mainstream crowd work. Through an online survey with 505 seniors, we found that most have never heard of crowd work but would be motivated to complete tasks by earning money or working on interesting or stimulating tasks. We follow up results from the survey with interviews and observations of 14 older adults completing crowd work tasks. While our survey data suggests that financial incentives are encouraging, in-depth interviews reveal that a combination of personal and social incentives may be stronger drivers of participation, but only if older adults can overcome accessibility issues and understand the purpose of crowd work. This paper contributes insights into how crowdsourcing sites could better engage seniors and other users.
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“Learning and memory support are often motivating factors for why older adults engage online [5,9,33].”
From Studying Exploration & Long-Term Use of Voice Assistants by Older Adults (2023) · cites this paper as [5]
Citations
Cites
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Crowdsourcing user studies with Mechanical Turk
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Who are the crowdworkers?: shifting demographics in mechanical turk
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Effects of Volunteering on the Well-Being of Older Adults
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Research works printed but not linked: 4
- Glass Thomas A, 1999, Richard A Marottoli, and Lisa F Berkman.
- Lehtinen Vilma, older adults' understandings of social networking sites. BCS-HCI
- Pink Daniel H., 2009, Drive: The surprising truth about what motivates us
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Cited by
Sorted by citations
From internet access to internet skills: digital inequality among older adults
Hargittai, E., Piper, A. M., & Morris, M. R. (2019) · Universal Access in the Information Society · doi:10.1007/s10209-018-0617-5 · Cited by 616
Self-citationA Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
Hara, K., Adams, A., Milland, K., Savage, S., Callison-Burch, C., & Bigham, J. P. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3174023 · Cited by 497
Interdependence as a Frame for Assistive Technology Research and Design
Bennett, C. L., Brady, E., & Branham, S. M. (2018) · Proceedings of the 20th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3234695.3236348 · Cited by 493
Examining Crowd Work and Gig Work Through The Historical Lens of Piecework
Alkhatib, A., Bernstein, M. S., & Levi, M. (2017) · Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3025453.3025974 · Cited by 148
Addressing age-related bias in sentiment analysis,
Diaz, M., Johnson, I., Lazar, A., Piper, A. M., & Gergle, D. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173986 · Cited by 138
Self-citation
Metadata
- Authors
- Brewer, R., Morris, M. R., & Piper, A. M.
- Affiliations
- Northwestern University (US)
- Microsoft (United States) (US)
- Venue
- Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2016-05-07
- Pages
- 2246-2257
- OpenAlex
- W2405742202
- Cited by
- 111
- References
- 42
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 7 · 2023: 11 · 2022: 10 · 2021: 22 · 2020: 8 · 2019: 14 · 2018: 11 · 2017: 15 · 2016: 2
- FWCI
- 11.17
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
- Social Sciences › Business, Management and Accounting › Management Information Systems › FinTech, Crowdfunding, Digital Finance
- Keywords
- crowdwork, older adults, crowdsourcing, participation motivation, financial incentives, social incentives, accessibility, task understanding, crowdsourcing platforms
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