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技术使用的预测因素:来自老年精英群体的证据。

Predictors of Technology Use: Evidence from Elite Older Adults.

作者信息

Wan Xiaoqing, Lighthall Nichole R, Roque Nelson

机构信息

Department of Psychology, University of Central Florida, 4111 Pictor Lane, Orlando, FL, USA, 32816.

Department of Human Development and Family Studies, Pennsylvania State University, 119 Health and Human Development Building, University Park, PA 16802.

出版信息

Act Adapt Aging. 2024;48(4):648-669. doi: 10.1080/01924788.2023.2282276. Epub 2023 Nov 16.

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.

摘要

很少有研究考察年龄较大的数字技术精英用户的使用情况。为了填补这一空白,我们研究了这一群体中新技术使用的预测因素。正如所假设的那样,成功老龄化的几个标志预测了老年精英用户对技术的更多使用,包括更高的认知水平、社会经济地位和自我效能感。在基础层面使用技术所需的技能与达到更高水平所需的技能略有不同。虽然先前的研究表明,情景长期记忆差可能对基础技术使用构成障碍,但在技术使用范围的高端,短期记忆可能更重要。

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