Predictors of Technology Use: Evidence from Elite Older Adults

Xiaoqing Wan, Nichole R. Lighthall, Nelson Roque

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Few studies have examined older, elite users of digital technology use. To address this gap, we examined predictors of novel technology use among this group. As hypothesized, several markers of successful aging predicted greater technology use in older elite users, including higher levels of cognition, socioeconomics, and self-efficacy. Skills needed to engage with technology at a basic level differ slightly from those needed to reach higher levels. While prior research suggested that poor episodic long-term memory may pose a barrier to basic technology use, short-term memory may be more important at the upper end of the technology use spectrum.

Original languageEnglish (US)
JournalActivities, Adaptation and Aging
DOIs
StateAccepted/In press - 2023

All Science Journal Classification (ASJC) codes

  • Health Professions (miscellaneous)
  • Gerontology
  • Geriatrics and Gerontology

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