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Assessing the Efficiency of Using Augmented Reality for Learning Sign Language

  • Ines KožuhEmail author
  • Simon Hauptman
  • Primož Kosec
  • Matjaž Debevc
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9176)

Abstract

In this study we examined whether the success rate regarding accuracies of signing particular words differs when the signs for the words are acquired either from (a) a picture symbolizing a sign, (b) an Augmented Reality mobile application, or (c) a physically present sign language interpreter. We analyzed whether any differences would appear between the 25 people included in an experiment. We used three pairs of words and the participants were accordingly classified into three groups. Each group was asked to sign one pair of words based on acquiring signs either from pictures, the Augmented Reality mobile application or a sign language interpreter. When the participants signed single words, their accuracies (=success rates) were evaluated by two sign language interpreters. The results revealed the lowest success rates when watching pictures, while the success rates improved by 35 % when using the Augmented Reality mobile application. When a sign-language interpreter signed words the participants’ success rates in signing increased by an additional 9 %. No differences were found between D/HH signers and hearing non-signers. Generally, participants were the least successful when signing the words “break” and “claw”.

Keywords

Deaf Hard of hearing Augmented reality Sign language 

Notes

Acknowledgements

We thank D/HH and hearing people for participating in the study, sign-language interpreters and representatives of the Association of the Deaf and Hard of Hearing Podravje, Maribor. Special thanks go to the Slovenian Association of the Deaf and Hard of Hearing for their permission to use the material from the Visual dictionary of Slovenian sign-language during our experiment. The study was supported by the Slovenian Research Agency [no. 1000-11-310140] under The Young Researcher Programme.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Ines Kožuh
    • 1
    Email author
  • Simon Hauptman
    • 1
  • Primož Kosec
    • 2
  • Matjaž Debevc
    • 1
  1. 1.Faculty of Electrical Engineering and Computer ScienceUniversity of MariborMariborSlovenia
  2. 2.NuimoKamnicaSlovenia

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