图书情报知识 ›› 2022, Vol. 39 ›› Issue (4): 126-139.doi: 10.13366/j.dik.2022.04.126

• 知识、学习与管理 • 上一篇    下一篇

老年用户适应智能技术的影响因素——基于微博文本定向内容的分析

王萍,蒋健,曹高辉   

  • 出版日期:2022-07-10 发布日期:2022-10-10

Factors Influencing the Adaptative Use of Intelligent Technology Among Elderly Users: Directed Content Analysis of Weibo Text

  • Online:2022-07-10 Published:2022-10-10

摘要: [目的/意义]数字经济时代智慧生活进程与人口老龄化程度加深相交织的背景下,揭示影响老年群体适应智能技术使用的主要因素,探索促进智能技术适老化进程的主要策略。[研究设计/方法]使用Python爬虫获取微博话题“#国家出手破除老年人智能鸿沟#”的9,735条原始评论数据,以个人适应性结构化理论为编码框架,采用定向内容分析法,分析影响老年用户适应智能技术的主要因素。[结论/发现]老年用户的智能技术适应模式包括探索性技术适应、开发性技术适应和开发性任务适应三个模式。影响老年用户群体适应智能技术的因素包括技术特征、任务特征、个体特征三个方面的11个因素。本文基于此提出了智能技术适老化问题的应对策略。[创新/价值]从个体用户适应性使用的视角,分析老年用户适应智能技术的影响因素,为降低老年用户“智能鸿沟”、提升智能技术适老化提供参考。

关键词: 智能技术, 适应性使用, 老年用户, 定向内容分析

Abstract: [Purpose/Significance] The purpose of this study is to explore the factors affecting the elderly users' adaptive use of intelligent technology in the digital economy era, and propose the countermeasures for elderly users to improve the adaption to the smart society. [Design/Methodology] Comment content of the Weibo topic #China takes action to break the intelligent gap between the elderly#were taken as data source,the individual adaptive structure theory(IAST)was as the coding framework, the directed content analysis method was adopted to extract the impact factors for adaptive use of intelligent technology among elderly users. [Findings/Conclusion] In our findings, three adaptive behaviors modes among elderly users were identified : the exploratory task adaptation, exploitive technology adaptation and exploitive task adaptation. Eleven factors of three dimensions,including technology, task and individual characteristics, were found to impact the adaptation process and some countermeasures were proposed. [Originality/Value] This study explores the influencing factors of elderly user adaptation to intelligent technology from individual adaptative usage perspective, which sheds lights on the remittance of smart divide and promote the positive adaptation for elderly users.

Key words: Intelligent technology, Adaptive use, Elderly user, Directed content analysis