Urgent information presentation using listed sign language

Shunichi Yonemura, Shinichiro Eitoku, Kenichiro Shimokura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper proposes a listed sign language system that combines written expressions in table form with sign language fragments. The system generates urgent video style messages that offer rapid, certain, and easy understanding for environments such as railway carriages. We developed a prototype of the system and conducted an evaluation experiment. The results show that the system improves the level of understanding urgent messages. Participants confirmed that the messages scored highly in terms of ease of understanding, high accuracy, rapid understanding, and sense of security.

Original languageEnglish
Title of host publicationUniversal Access in Human-Computer Interaction
Subtitle of host publicationCoping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc.
Pages824-830
Number of pages7
EditionPART 1
Publication statusPublished - 2007 Dec 1
Event4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007 - Beijing, China
Duration: 2007 Jul 222007 Jul 27

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume4554 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007
CountryChina
CityBeijing
Period07/7/2207/7/27

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Yonemura, S., Eitoku, S., & Shimokura, K. (2007). Urgent information presentation using listed sign language. In Universal Access in Human-Computer Interaction: Coping with Diversity - 4th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2007. Held as Part of HCI Int. 2007 Proc. (PART 1 ed., pp. 824-830). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4554 LNCS, No. PART 1).