  Effects of Optical Character Recognition (OCR) quality on historical
information retrieval have so far been studied in data-oriented scenarios
regarding the effectiveness of retrieval results. Such studies have either
focused on the effects of artificially degraded OCR quality (see, e.g., [1-2])
or utilized test collections containing texts based on authentic low quality
OCR data (see, e.g., [3]). In this paper the effects of OCR quality are studied
in a user-oriented information retrieval setting. Thirty-two users evaluated
subjectively query results of six topics each (out of 30 topics) based on
pre-formulated queries using a simulated work task setting. To the best of our
knowledge our simulated work task experiment is the first one showing
empirically that users' subjective relevance assessments of retrieved documents
are affected by a change in the quality of optically read text. Users of
historical newspaper collections have so far commented effects of OCR'ed data
quality mainly in impressionistic ways, and controlled user environments for
studying effects of OCR quality on users' relevance assessments of the
retrieval results have so far been missing. To remedy this The National Library
of Finland (NLF) set up an experimental query environment for the contents of
one Finnish historical newspaper, Uusi Suometar 1869-1918, to be able to
compare users' evaluation of search results of two different OCR qualities for
digitized newspaper articles. The query interface was able to present the same
underlying document for the user based on two alternatives: either based on the
lower OCR quality, or based on the higher OCR quality, and the choice was
randomized. The users did not know about quality differences in the article
texts they evaluated. The main result of the study is that improved optical
character recognition quality affects perceived usefulness of historical
newspaper articles significantly. The mean average evaluation score for the
improved OCR results was 7.94% higher than the mean average evaluation score of
the old OCR results.

Information Retrieval;Computation and Language;Digital Libraries