Technology obsolescence across the adult lifespan in a USA internet sample
We know that older adults are less likely to own certain technological devices, such as smartphones, a technology now integral to telehealth. However, for those older adults who do own devices, we know very little about how their devices may differ from those of younger adults. The age of a device c...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1005822/full |
| _version_ | 1828327981443973120 |
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| author | Nicholas Gray Nicholas Gray Neil Charness Neil Charness |
| author_facet | Nicholas Gray Nicholas Gray Neil Charness Neil Charness |
| author_sort | Nicholas Gray |
| collection | DOAJ |
| description | We know that older adults are less likely to own certain technological devices, such as smartphones, a technology now integral to telehealth. However, for those older adults who do own devices, we know very little about how their devices may differ from those of younger adults. The age of a device can determine the types of programs it can run, as well as the level of protection it has against malicious code. The following study is an attempt to understand the ages of devices owned by different demographic groups. An electronic survey was sent to American adults from ages 19–97, querying the types of devices they own, how old those devices are, when they plan on replacing them, and demographic information. Regression models were employed to determine the factors that predict device ownership and the age of the devices owned. We replicate the finding that older adults are less likely to own certain devices, like smartphones and laptops. However, they may be more likely to own more dated devices, such as non-smart mobile phones. Models of device age showed that older adults are more likely to own older smartphones, as well as older desktop and laptop computers. Thus, older adults may be more susceptible to hacking, due to obsolete technology. In some cases, they also may not have devices modern enough for technology-based health interventions. Thus, obsolete devices may present an additional barrier for adoption of technology-based interventions by older adults. |
| first_indexed | 2024-04-13T20:02:31Z |
| format | Article |
| id | doaj.art-d0bae29c7d864193973f23618d9c450b |
| institution | Directory Open Access Journal |
| issn | 2296-2565 |
| language | English |
| last_indexed | 2024-04-13T20:02:31Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj.art-d0bae29c7d864193973f23618d9c450b2022-12-22T02:32:09ZengFrontiers Media S.A.Frontiers in Public Health2296-25652022-10-011010.3389/fpubh.2022.10058221005822Technology obsolescence across the adult lifespan in a USA internet sampleNicholas Gray0Nicholas Gray1Neil Charness2Neil Charness3Department of Psychology, Florida State University, Tallahassee, FL, United StatesInstitute for Successful Longevity, Florida State University, Tallahassee, FL, United StatesDepartment of Psychology, Florida State University, Tallahassee, FL, United StatesInstitute for Successful Longevity, Florida State University, Tallahassee, FL, United StatesWe know that older adults are less likely to own certain technological devices, such as smartphones, a technology now integral to telehealth. However, for those older adults who do own devices, we know very little about how their devices may differ from those of younger adults. The age of a device can determine the types of programs it can run, as well as the level of protection it has against malicious code. The following study is an attempt to understand the ages of devices owned by different demographic groups. An electronic survey was sent to American adults from ages 19–97, querying the types of devices they own, how old those devices are, when they plan on replacing them, and demographic information. Regression models were employed to determine the factors that predict device ownership and the age of the devices owned. We replicate the finding that older adults are less likely to own certain devices, like smartphones and laptops. However, they may be more likely to own more dated devices, such as non-smart mobile phones. Models of device age showed that older adults are more likely to own older smartphones, as well as older desktop and laptop computers. Thus, older adults may be more susceptible to hacking, due to obsolete technology. In some cases, they also may not have devices modern enough for technology-based health interventions. Thus, obsolete devices may present an additional barrier for adoption of technology-based interventions by older adults.https://www.frontiersin.org/articles/10.3389/fpubh.2022.1005822/fullsmartphonetelehealthmobile devicecomputertabletsmartwatch |
| spellingShingle | Nicholas Gray Nicholas Gray Neil Charness Neil Charness Technology obsolescence across the adult lifespan in a USA internet sample Frontiers in Public Health smartphone telehealth mobile device computer tablet smartwatch |
| title | Technology obsolescence across the adult lifespan in a USA internet sample |
| title_full | Technology obsolescence across the adult lifespan in a USA internet sample |
| title_fullStr | Technology obsolescence across the adult lifespan in a USA internet sample |
| title_full_unstemmed | Technology obsolescence across the adult lifespan in a USA internet sample |
| title_short | Technology obsolescence across the adult lifespan in a USA internet sample |
| title_sort | technology obsolescence across the adult lifespan in a usa internet sample |
| topic | smartphone telehealth mobile device computer tablet smartwatch |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2022.1005822/full |
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