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Available. Open Access. Open Access
Article
Publication date: 23 May 2023

Kimmo Kettunen, Heikki Keskustalo, Sanna Kumpulainen, Tuula Pääkkönen and Juha Rautiainen

This study aims to identify user perception of different qualities of optical character recognition (OCR) in texts. The purpose of this paper is to study the effect of different…

880

Abstract

Purpose

This study aims to identify user perception of different qualities of optical character recognition (OCR) in texts. The purpose of this paper is to study the effect of different quality OCR on users' subjective perception through an interactive information retrieval task with a collection of one digitized historical Finnish newspaper.

Design/methodology/approach

This study is based on the simulated work task model used in interactive information retrieval. Thirty-two users made searches to an article collection of Finnish newspaper Uusi Suometar 1869–1918 which consists of ca. 1.45 million autosegmented articles. The article search database had two versions of each article with different quality OCR. Each user performed six pre-formulated and six self-formulated short queries and evaluated subjectively the top 10 results using a graded relevance scale of 0–3. Users were not informed about the OCR quality differences of the otherwise identical articles.

Findings

The main result of the study is that improved OCR quality affects subjective user perception of historical newspaper articles positively: higher relevance scores are given to better-quality texts.

Originality/value

To the best of the authors’ knowledge, this simulated interactive work task experiment is the first one showing empirically that users' subjective relevance assessments are affected by a change in the quality of an optically read text.

Details

Journal of Documentation, vol. 79 no. 7
Type: Research Article
ISSN: 0022-0418

Keywords

Available. Open Access. Open Access
Article
Publication date: 16 November 2022

Laura Korkeamäki, Heikki Keskustalo and Sanna Kumpulainen

The purpose of this paper is to examine what types of task information media scholars need while gathering research data to create new knowledge.

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Abstract

Purpose

The purpose of this paper is to examine what types of task information media scholars need while gathering research data to create new knowledge.

Design/methodology/approach

The research design is qualitative and user-oriented. A total of 25 media scholars were interviewed about their research processes and interactions with their research data. The interviews were semi-structured, complemented by critical incident interviews. The analysis focused on the activity of gathering research data. A typology of information (task, domain and task-solving information) guided the analysis of information types related to data gathering, with further analysis focusing only on task information types.

Findings

Media scholars needed the following task information types while gathering research data to create new knowledge: (1) information about research data (aboutness of data, characteristics of data, metadata and secondary information about data), (2) information about sources of research data (characteristics of sources, local media landscapes) and (3) information about cases and their contexts (case information, contextual information). All the task information types should be considered when building data services and tools to support media scholars' work.

Originality/value

The paper increases understanding of the concept of task information in the context of gathering research data to create new knowledge and thereby informs the providers of research data services about the task information types that researchers need.

Details

Journal of Documentation, vol. 78 no. 7
Type: Research Article
ISSN: 0022-0418

Keywords

Available. Open Access. Open Access
Article
Publication date: 31 October 2024

Elina Late, Inés Matres, Anna Sendra and Sanna Kumpulainen

The expanded reuse of images as research data in the social sciences and humanities necessitates the understanding of scholars’ real-life interactions with the type of data. The…

214

Abstract

Purpose

The expanded reuse of images as research data in the social sciences and humanities necessitates the understanding of scholars’ real-life interactions with the type of data. The aim of this study is to analyse activities constituting image data interactions in social science and humanities research and to provide a model describing the data interaction process.

Design/methodology/approach

The study is based on interviews with 21 scholars from various academic backgrounds utilising digital and print images collected from external sources as empirical research data. Qualitative content analyses were executed to analyse image data interactions throughout the research process in three task types: contemporary, historical and computational research.

Findings

The findings further develop the task-based information interaction model (Järvelin et al., 2015) originally created to explain the information interaction process. The enhanced model presents five main image data interaction activities: Data gathering, Forming dataset, Working with data, Synthesizing and reporting and Concluding, with various sub-activities. The findings show the variety of image data interactions in different task types.

Originality/value

The developed model contributes to understanding critical points in image data interactions and provides a model for future research analysing research data interactions. The model may also be used, for example, in designing better research services and infrastructures by identifying support needs throughout the research process.

Details

Journal of Documentation, vol. 80 no. 7
Type: Research Article
ISSN: 0022-0418

Keywords

Available. Open Access. Open Access
Article
Publication date: 15 September 2021

Elina Late and Sanna Kumpulainen

The paper examines academic historians' information interactions with material from digital historical-newspaper collections as the research process unfolds.

3866

Abstract

Purpose

The paper examines academic historians' information interactions with material from digital historical-newspaper collections as the research process unfolds.

Design/methodology/approach

The study employed qualitative analysis from in-depth interviews with Finnish history scholars who use digitised historical newspapers as primary sources for their research. A model for task-based information interaction guided the collection and analysis of data.

Findings

The study revealed numerous information interactions within activities related to task-planning, the search process, selecting and working with the items and synthesis and reporting. The information interactions differ with the activities involved, which call for system support mechanisms specific to each activity type. Various activities feature information search, which is an essential research method for those using digital collections in the compilation and analysis of data. Furthermore, application of quantitative methods and multidisciplinary collaboration may be shaping culture in history research toward convergence with the research culture of the natural sciences.

Originality/value

For sustainable digital humanities infrastructure and digital collections, it is of great importance that system designers understand how the collections are accessed, why and their use in the real-world context. The study enriches understanding of the collections' utilisation and advances a theoretical framework for explicating task-based information interaction.

Details

Journal of Documentation, vol. 78 no. 7
Type: Research Article
ISSN: 0022-0418

Keywords

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Article
Publication date: 2 September 2014

Sanna Kumpulainen

The purpose of this paper is to aim at modelling the trails, which are search patterns with several search systems across the heterogeneous information environment. In addition…

1305

Abstract

Purpose

The purpose of this paper is to aim at modelling the trails, which are search patterns with several search systems across the heterogeneous information environment. In addition, the author seeks to examine what kinds of trails occur in routine, semi-complex and complex tasks, and what barrier types occur during the trail-blazing.

Design/methodology/approach

The author used qualitative task-based approach with shadowing of six molecular medicine researchers during six months, and collected their web interaction logs. Data triangulation made this kind of detailed search system integration analysis possible.

Findings

Five trail patterns emerged: branches, chains, lists, singles and berrypicking trails. The berrypicking was typical to complex work tasks, whereas the branches were common in routine work tasks. Singles and lists were employed typically in semi-complex tasks. In all kinds of trails, the barriers occurred often during the interaction with a single system, but there was a considerable number of barriers with the malfunctioning system integration, and lacking integration features. The findings propose that the trails could be used to reduce the amount of laborious manual system integration, and that there is a need for support to explorative search process in berrypicking trails.

Originality/value

Research of information behaviour yielding to different types of search patters with several search systems during real-world work task performance in molecular medicine have not been published previously. The author presents a task-based approach how to model search behaviour patterns. The author discusses the issue of system integration, which is a great challenge in biomedical domain, from the viewpoints of information studies and search behaviour.

Details

Journal of Documentation, vol. 70 no. 5
Type: Research Article
ISSN: 0022-0418

Keywords

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Article
Publication date: 12 September 2016

Annikki Roos and Turid Hedlund

The purpose of this paper is to analyze the information practices of the researchers in biomedicine using the domain analytical approach.

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Abstract

Purpose

The purpose of this paper is to analyze the information practices of the researchers in biomedicine using the domain analytical approach.

Design/methodology/approach

The domain analytical research approach used in the study of the scientific domain of biomedicine leads to studies into the organization of sciences. By using Whitley’s dimensions of “mutual dependence” and “task uncertainty” in scientific work as a starting point the authors were able to reanalyze previously collected data. By opening up these concepts in the biomedical research work context, the authors analyzed the distinguishing features of the biomedical domain and the way these features affected researchers’ information practices.

Findings

Several indicators representing “task uncertainty” and “mutual dependence” in the scientific domain of biomedicine were identified. This study supports the view that in biomedicine the task uncertainty is low and researchers are mutually highly dependent on each other. Hard competition seems to be one feature, which is behind the explosion of the data and publications in this domain. This fact, on its part is directly related to the ways information is searched, followed, used and produced. The need for new easy to use services or tools for searching and following information in so called “hot” topics came apparent.

Originality/value

The study highlights new information about information practices in the biomedical domain. Whitley’s theory enabled a thorough analysis of the cultural and social nature of the biomedical domain and it proved to be useful in the examination of researchers’ information practices.

Details

Journal of Documentation, vol. 72 no. 5
Type: Research Article
ISSN: 0022-0418

Keywords

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