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The Impact of Human Factors on Digitization: An Eye-tracking Study of OCR Proofreading Strategies

Authors:
Flavia De Simone
Federico Boschetti
Barbara Balbi
Vincenzo Broscritto
Anas Fahad Kahn
Simona Collina
Roberto Montanari

Keywords: Optical Character Recognition; Eye-tracking; Reading; Cognitive processe.

Abstract:
An Optical Character Recognition (OCR) System is a piece of software that can scan a printed text and translate it into a digital format that can be subsequently edited with a computer. Often the output from OCR software does not correspond closely enough to the original text and a manual correction phase is needed in order to improve accuracy. The aim of the study presented in this paper is to test human strategies in proof correction by means of an eye-tracker. The experiment, which we designed to investigate these strategies consisted in a proofreading task. Participants were divided into two groups: a target group that was trained in how to carry out the task and a control group that had not been so trained. The performances of each group were evaluated in terms of accuracy and time of execution. Results highlighted an effect of learning, an optimization strategy of the target group resulting in higher accuracy and lower time of execution of the task. The practical implications of these results will be discussed.

Pages: 14 to 17

Copyright: Copyright (c) IARIA, 2018

Publication date: February 18, 2018

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-609-5

Location: Barcelona, Spain

Dates: from February 18, 2018 to February 22, 2018