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Design and development of sign language questionnaires based on video and web interfaces

Published online by Cambridge University Press:  27 November 2019

Juan Pedro López Open the ORCID record for Juan Pedro López [Opens in a new window] ,
Marta Bosch-Baliarda ,
Carlos Alberto Martín ,
José Manuel Menéndez ,
Pilar Orero ,
Olga Soler  and
Federico Álvarez
Juan Pedro López*
Affiliation:
Grupo de Aplicación de Telecomunicaciones Visuales, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040Madrid, Spain
Marta Bosch-Baliarda
Affiliation:
Faculty of Translation, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain
Carlos Alberto Martín
Affiliation:
Grupo de Aplicación de Telecomunicaciones Visuales, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040Madrid, Spain
José Manuel Menéndez
Affiliation:
Grupo de Aplicación de Telecomunicaciones Visuales, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040Madrid, Spain
Pilar Orero
Affiliation:
Faculty of Translation, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain
Olga Soler
Affiliation:
Faculty of Translation, Universitat Autònoma de Barcelona, 08193 Bellaterra, Barcelona, Spain
Federico Álvarez
Affiliation:
Grupo de Aplicación de Telecomunicaciones Visuales, Escuela Técnica Superior de Ingenieros de Telecomunicación, Universidad Politécnica de Madrid, 28040Madrid, Spain
*
Author for correspondence: Juan Pedro López, E-mail: juanpelopez@gmail.com
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Abstract

Conventional tests with written information used for the evaluation of sign language (SL) comprehension introduce distortions due to the translation process. This fact affects the results and conclusions drawn and, for that reason, it is necessary to design and implement the same language interpreter-independent evaluation tools. Novel web technologies facilitate the design of web interfaces that support online, multiple-choice questionnaires, while exploiting the storage of tracking data as a source of information about user interaction. This paper proposes an online, multiple-choice sign language questionnaire based on an intuitive methodology. It helps users to complete tests and automatically generates accurate, statistical results using the information and data obtained in the process. The proposed system presents SL videos and enables user interaction, fulfilling the requirements that SL interpretation is not able to cover. The questionnaire feeds a remote database with the user answers and powers the automatic creation of data for analytics. Several metrics, including time elapsed, are used to assess the usability of the SL questionnaire, defining the goals of the predictive models. These predictions are based on machine learning models, with the demographic data of the user as features for estimating the usability of the system. This questionnaire reduces costs and time in terms of interpreter dedication, as well as widening the amount of data collected while employing user native language. The validity of this tool was demonstrated in two different use cases.

Keywords

AccessibilityHTML5human–computer interactioninterfacesign languagevideo
Type
Research Article
Information
AI EDAM , Volume 33 , Special Issue 4: Intelligent Interaction Design , November 2019 , pp. 429 - 441
Copyright
Copyright © Cambridge University Press 2019

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