图书情报工作2024,Vol.68Issue(14) :14-24.DOI:10.13266/j.issn.0252-3116.2024.14.002

AIGC产品用户需求特征体系构建及改进策略研究

Research on the Construction of User Demand Characteristic System and Improvement Strategy of AIGC Products

毕达天 王璐 王雨菲 车尧
图书情报工作2024,Vol.68Issue(14) :14-24.DOI:10.13266/j.issn.0252-3116.2024.14.002

AIGC产品用户需求特征体系构建及改进策略研究

Research on the Construction of User Demand Characteristic System and Improvement Strategy of AIGC Products

毕达天 1王璐 1王雨菲 1车尧2
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作者信息

  • 1. 吉林大学商学与管理学院 长春 130012
  • 2. 中国科学技术信息研究所 北京 100038
  • 折叠

摘要

[目的/意义]从用户视角出发,探索AIGC产品的用户需求及特征,为国产AIGC产品质量的提升提供参考和建议,从而推动我国AIGC行业的高水平发展.[方法/过程]以ChatGPT和文心一言为研究对象,爬取微博、知乎、抖音、百度贴吧4个社交媒体平台的116 046条评论文本,通过BERTopic主题模型提取用户关注主题,构建AIGC产品的用户需求特征体系,基于IPA分析工具从主题关注度和满意度两个维度分析国内外AIGC产品的需求特征差异,据此提出我国AIGC产品的改进策略.[结果/结论]AIGC产品的用户需求主要分为可获得性、可靠性、体验性、创新性、功能性、理解性、趣味性、安全性8类;我国AIGC产品的改进策略包括提升内容可靠性、增强文化适配度、完善安全保障体系、助推核心技术创新.

Abstract

[Purpose/Significance]This paper aims to explore the user demand and characteristics of AIGC prod-ucts from the perspective of user,providing reference and suggestions for the improvement of AIGC products quality,and promoting the high-level development of AIGC industry.[Method/Process]Taking ChatGPT and Wenxin as the research objects,this paper crawled 116 046 comment text from four social media platforms,including Weibo,Zhihu,Douyin and Baidu Tieba,then used BERTopic to extract the users'focus topics and constructed a user demand charac-teristic system of AIGC products.Based on the IPA analysis tool,it analyzed the differences in demand characteristics of AIGC products at home and abroad from both attention and satisfaction dimensions,and it proposed the improve-ment strategy of AIGC products in China.[Result/Conclusion]The user demand of AIGC products are mainly divid-ed into eight categories:availability,reliability,experience,innovation,functionality,understanding,interest and se-curity.The improvement strategy for AIGC products in China includes improving the reliability of content,enhancing cultural adaptability,improving the security system,and boosting core technology innovation.

关键词

AIGC/需求特征体系/主题挖掘/BERTopic模型/IPA分析

Key words

AIGC/demand characteristic system/topic mining/BERTopic model/IPA analysis

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基金项目

国家社会科学基金项目(21BTQ059)

出版年

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
参考文献量14
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