摘要
[目的/意义]从信任视角对比用户对数据智能与专家知识的感知,有助于了解用户当前对这两类典型的决策信息源的信任状态及差异,进而为数据智能的深化应用、数据智能与专家知识的有效融合提供建议。[方法/过程]基于信任的经典二维度划分,即认知信任和情感信任,设计包含两对、四个潜在变量的测量量表。采用问卷调查法,获取342份有效样本,利用描述性统计和配对样本t-检验方法进行数据分析。[结果/结论]研究发现,用户对数据智能的认知信任显著高于专家知识,而对数据智能的情感信任显著低于专家知识。
[Purpose/significance]Comparing users'perceptions of data intelligence and expert knowledge from the perspective of trust will help to understand the user's current trust status and differences between these two types of typical decision-making information sources,and then provide suggestions for the further application of data intelligence and the effective integration of data intelligence and expert knowledge.[Method/process]Based on the classic two-dimensional classification of trust,namely cognitive trust and emotional trust,a measurement scale including two pairs and four potential variables was designed.A total of 342 valid samples were collected by questionnaire survey.Descriptive statistics and paired sample t-test were employed for data analysis.[Result/conclusion]The study found that users'cognitive trust in data intelligence is significantly higher than expert knowledge,while their emotional trust in data intelligence is significantly lowerthan expert knowledge.
作者
刘坤锋
李艳红
张心源
Liu Kunfeng;Li Yanhong;Zhang Xinyuan(School of Information Management,Zhengzhou University of Aeronautics,Zhengzhou 450046;Henan Academy of Big Data,Zhengzhou University,Zhengzhou 450052)
出处
《图书情报工作》
CSSCI
北大核心
2021年第6期110-117,共8页
Library and Information Service
基金
国家社会科学基金青年项目“大数据环境下移动社交网络用户持续性信息行为研究”(项目编号:18CTQ031)研究成果之一。
关键词
大数据
人工智能
数据智能
专家知识
认知信任
情感信任
big data
artificial intelligence
data intelligence
expert knowledge
cognitive trust
emotional trust
