人类信息行为中的情感因素:信息行为跨学科研究的概念分析

Monika Krakowska
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引用次数: 9

摘要

目的/论文:本文包含了对当代人类信息行为研究中如何定义和理解情绪和其他情感现象的理论和概念反思和分析。本文提请注意情感信息活动研究的跨学科性质。方法/方法:报告的研究采用定性方法,依赖于批判性文献综述,概念和主题分析。分析的材料来自2014-2020年的精选出版物。结果与结论:信息学研究情绪在信息行为中的作用。然而,情感范式的应用仍然非常有限。对信息活动的情感理解应在跨学科的基础上,借鉴心理学等其他学科的理论和方法,不断拓展。原创性/价值:本文研究了理论情感现象范式的发展,并提出了心理学研究情感的最重要途径。通过分析情感信息行为研究的最新趋势,本研究加入了合作努力,为情感范式内跨学科研究的发展提供了理论和实践基础。
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Affective Factors in Human Information Behavior: A Conceptual Analysis of Interdisciplinary Research on Information Behavior
Purpose/Thesis: The article contains theoretical and conceptual reflection and analysis of how emotions and other affective phenomena are defined and understood in contemporary research on human information behavior. The article draws attention to the interdisciplinary nature of research into affective information activities. Approach/Methods: The reported research employs a qualitative approach, relying on critical literature review, and conceptual and thematic analysis. The analyzed material came from select publications from 2014–2020. Results and Conclusions: Information science studies the role of emotions in information behavior. However, the application of the affective paradigm remains very limited. The affective understanding of information activities should be constantly expanded on an interdisciplinary basis with reference to theories and methods of other disciplines, such as psychology. Originality/Value: The article studies the development of the theoretical affective phenomenon pa­radigm and presents the most important approaches psychology takes to emotions. By analyzing the latest trends in the study of affective information behaviors, the study joins the collaborative effort to develop an agenda providing a theoretical and practical basis for the development of interdisciplinary research within the affective paradigm.
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