首页|基于BERTopic模型的移动办公类应用与用户的适应模式研究

基于BERTopic模型的移动办公类应用与用户的适应模式研究

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[目的/意义]以移动办公类应用为例,旨在探索技术的开发与更新如何高效响应用户需求,用户如何高效地适应技术的功能以充分发挥技术的优势.在此基础上,识别用户与技术的双向适应行为路径,并挖掘用户与技术的适应模式.[方法/过程]选取iOS平台商务类应用畅销榜排名前10的移动办公APP,获取2020年1月1日到2022年12月10日的235 216条评论数据和553条版本更新日志数据.利用BERTopic主题模型对移动办公类APP更新日志文本和用户评论文本进行主题分析,对比技术与用户方供需差异.随后利用基于BERT的文本匹配算法将用户评论与更新日志项目进行相似度匹配,结合评论文本和更新日志文本时间维度特征,识别双向的适应路径.[结果/结论]用户与技术存在"用户技术适应路径""(技术)用户技术用户双向适应路径""技术用户适应路径"3种交互适应行为路径,同时存在用户和技术的两种单向发布行为路径.研究总结得到3种技术与用户的适应模式,并发现,对于排名前十的移动办公类APP,用户主导的适应模式以及用户技术双向适应模式为最重要的交互适应模式,技术主导的适应模式为占比最小的适应模式.
Unraveling the Adaptation Model Between Mobile Office Applications and Users Based on BERTopic Model
[Purpose/Significance]The use of technical application software is inseparable from the effective interaction with users.Taking mobile office application as an example,this study aims to explore how its development and update can efficiently respond to users'needs,and how users can efficiently adapt to its functions for its advantag-es.On this basis,it identifies the two-way adaptive behavior paths and explores the adaptive patterns between users and technology.[Method/Process]This study selected the top ten mobile office APPs on the best-selling list of busi-ness APPs on iOS platform,and obtained 235,216 reviews and 553 version update log data from 1 January 2020 to 10 December 2022.Using the BERTopic topic model,it thematically analyzed the update log text and user reviews with text analysis and qualitative research methods,and compared the differences in supply and demand between the tech-nology and user.Subsequently,it took a BERT-based text matching algorithm to match user reviews with update log items in terms of similarity,and identified two-way adaptation paths with the time dimension features.[Result/Con-clusion]There are three interactive adaptation behavior paths between users and applications,that is,user-technology adaptation,(technology-)user-technology-user bi-directional adaptation,and technology-user adaptation path.At the same time,there are two unidirectional release behavior paths of user and technology.The study obtains three tech-nology-user adaptation models.For the top ten mobile office APPs,the user-led and the user-technology bidirectional ones are the most important,while the technology-led is the one with the smallest percentage.

topic analysisAPPadaptive useuserinteraction

王萍、龙秋易、蒋健

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华中师范大学信息管理学院 武汉 430079

主题分析 APP 适应性使用 用户 交互

国家自然科学基金武汉市科技局曙光计划中央高校基本科研业务费专项华中师范大学优秀青年团队项目

720040752023010201020380CCNU22QN017

2024

图书情报工作
中国科学院文献情报中心

图书情报工作

CSTPCDCSSCICHSSCD北大核心
影响因子:2.203
ISSN:0252-3116
年,卷(期):2024.68(5)
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