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Paper Abstract and Keywords
Presentation 2019-03-12 11:15
Web contents for learning "Shigisan-engi-emaki" accessed by voice user interface
Ryosuke Matsuda, Eri Yokoyama, Makoto J. Hirayama (OIT)
Abstract (in Japanese) (See Japanese page) 
(in English) A web content for learning “Shigisan-engi-emaki” accessed by voice user interface was made. As a voice user interface (VUI) environment, Alexa, a cloud base artificial intelligence speech recognition service by Amazon was used. "Reading Skill" which read web contents with voice and "Searching Skill" which search information related to "Shigisan-engi-emaki" were developed. Usability, accessibility, learning will, and efficiency using VUI are checked by questionnaire.
Keyword (in Japanese) (See Japanese page) 
(in English) Shigisan-engi-emaki / Voice User Interface / Voice User Interface / VUI / Alexa / Web content / /  
Reference Info. ITE Tech. Rep., vol. 43, pp. 225-226, March 2019.
Paper #  
Date of Issue 2019-03-05 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee AIT IIEEJ AS CG-ARTS  
Conference Date 2019-03-12 - 2019-03-12 
Place (in Japanese) (See Japanese page) 
Place (in English) Waseda Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Expressive Japan 2019 
Paper Information
Registration To IIEEJ 
Conference Code 2019-03-AIT-IIEEJ-AS-ARTS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Web contents for learning "Shigisan-engi-emaki" accessed by voice user interface 
Sub Title (in English)  
Keyword(1) Shigisan-engi-emaki  
Keyword(2) Voice User Interface  
Keyword(3) Voice User Interface  
Keyword(4) VUI  
Keyword(5) Alexa  
Keyword(6) Web content  
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Keyword(8)  
1st Author's Name Ryosuke Matsuda  
1st Author's Affiliation Osaka Institute of Technology (OIT)
2nd Author's Name Eri Yokoyama  
2nd Author's Affiliation Osaka Institute of Technology (OIT)
3rd Author's Name Makoto J. Hirayama  
3rd Author's Affiliation Osaka Institute of Technology (OIT)
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Speaker Author-1 
Date Time 2019-03-12 11:15:00 
Presentation Time 135 minutes 
Registration for IIEEJ 
Paper # AIT2019-114 
Volume (vol) vol.43 
Number (no) no.9 
Page pp.225-226 
#Pages
Date of Issue 2019-03-05 (AIT) 


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