K. Kettunen, Heikki Keskustalo, S. Kumpulainen, Tuula Pääkkönen, Juha Rautiainen
{"title":"Optical character recognition quality affects subjective user perception of historical newspaper clippings","authors":"K. Kettunen, Heikki Keskustalo, S. Kumpulainen, Tuula Pääkkönen, Juha Rautiainen","doi":"10.1108/jd-01-2023-0002","DOIUrl":null,"url":null,"abstract":"PurposeThis 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/approachThis 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.FindingsThe 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/valueTo 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.","PeriodicalId":47969,"journal":{"name":"Journal of Documentation","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2023-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Documentation","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/jd-01-2023-0002","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
PurposeThis 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/approachThis 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.FindingsThe 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/valueTo 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.
期刊介绍:
The scope of the Journal of Documentation is broadly information sciences, encompassing all of the academic and professional disciplines which deal with recorded information. These include, but are certainly not limited to: ■Information science, librarianship and related disciplines ■Information and knowledge management ■Information and knowledge organisation ■Information seeking and retrieval, and human information behaviour ■Information and digital literacies