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Hartel, J.; Savolainen, R.: Pictorial metaphors for information (2016)
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- Abstract
- Purpose Arts-informed, visual research was conducted to document the pictorial metaphors that appear among original drawings of information. The purpose of this paper is to report the diversity of these pictorial metaphors, delineate their formal qualities as drawings, and provide a fresh perspective on the concept of information. Design/methodology/approach The project utilized pre-existing iSquare drawings of information that were produced by iSchool graduate students during a draw-and-write activity. From a data set of 417 images, 125 of the strongest pictorial metaphors were identified and subjected to cognitive metaphor theory. Findings Overwhelmingly, the favored source domain for envisioning information was nature. The most common pictorial metaphors were: Earth, web, tree, light bulb, box, cloud, and fishing/mining, and each brings different qualities of information into focus. The drawings were often canonical versions of objects in the world, leading to arrays of pictorial metaphors marked by their similarity. Research limitations/implications Less than 30 percent of the data set qualified as pictorial metaphors, making them a minority strategy for representing information as an image. The process to identify and interpret pictorial metaphors was highly subjective. The arts-informed methodology generated tensions between artistic and social scientific paradigms. Practical implications The pictorial metaphors for information can enhance information science education and fortify professional identity among information professionals. Originality/value This is the first arts-informed, visual study of information that utilizes cognitive metaphor theory to explore the nature of information. It strengthens a sense of history, humanity, nature, and beauty in our understanding of information today, and contributes to metaphor research at large.
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Heinström, J.; Sormunen, E.; Savolainen, R.; Ek, S.: Developing an empirical measure of everyday information mastering (2020)
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- Abstract
- The aim of the study was to develop an empirical measure for everyday information mastering (EIM). EIM describes the ways that individuals, based on their beliefs, attitudes, and expectations, orient themselves to information as a resource of everyday action. The key features of EIM were identified by conceptual analysis focusing on three EIM frameworks. Four modes of EIM-Proactive, Social, Reactive, and Passive-and their 12 constituents were identified. A survey of 39 items was developed in two pilot studies to operationalize the identified modes as measurable EIM constituents. The respondents in the main study were upper secondary school students (n = 412). Exploratory factor analysis (EFA) was applied to validate subscales for each EIM constituent. Seven subscales emerged: Inquiring and Scanning in the Proactive mode, Social media-centered, and Experiential in the Social mode, and Information poor, Overwhelmed, and Blunting in the Passive mode. Two constituents, Serendipitous and Intuitive, were not supported in the EFA. The findings highlight that the core constituents of an individual's everyday information mastering can be operationalized as psychometric scales. The instrument contributes to the systematic empirical study of EIM constituents and their relationships. The study further sheds light on key modes of EIM.
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Savolainen, R.; Thomson, L.: Assessing the theoretical potential of an expanded model for everyday information practices (2022)
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- Abstract
- The present study contributes to the development of integrated models for information behavior and practices at the domain-specific level. To this end, the model for everyday information practices proposed by Savolainen in 2008 is enhanced by integrating the element of information creating, based on Thomson's recent 2018 study. The integration resulted in the expanded model for everyday information practices. Using conceptual analysis, the above model was examined in light of conventional (positivist and post-positivist) and interpretive (social constructivist) criteria for theory assessment. The findings suggest that the integrated model meets best the interpretive criteria such as meaningfulness and understandability, mutuality of concepts and descriptive logic, empirical verifiability, and usefulness. In contrast, theoretical potential of the model is fairly limited when weighed against the conventional criteria, such as generalization and prediction. Overall, the findings suggest that, in its current form, the expanded model cannot be regarded as a "genuine theory" of everyday information practices. However, the model does incorporate many of the qualities characteristic of social scientific theories, and thus exhibits considerable theoretical potential. This is even more so if the interpretive, naturalistic basis of the data in which the expanded model is based is considered.
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Savolainen, R.: Information need as trigger and driver of information seeking : a conceptual analysis (2017)
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- Date
- 20. 1.2015 18:30:22
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Savolainen, R.: Modeling the interplay of information seeking and information sharing (2019)
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- Date
- 20. 1.2015 18:30:22
