2016 Fiscal Year Final Research Report
Classification and linguistic analysis on natural disaster warnings
Project/Area Number |
26370490
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Linguistics
|
Research Institution | Gunma Prefectural Women's University (2016) The University of Aizu (2014-2015) |
Principal Investigator |
Ogasawara Naomi 群馬県立女子大学, 国際コミュニケーション学部, 准教授 (50630696)
|
Research Collaborator |
桑田 カツ子
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Keywords | 言語学 / 音声学 / 災害コミュニケーション / 統語論 |
Outline of Final Research Achievements |
This study (1) linguistically analyzed evacuation calls and (2) investigated the effects of acoustic characteristics of spoken evacuation calls on perception. As a result of (1), it was revealed that the amount of language in a call was greater in flood/land slide evacuation calls than in tsunami calls and that the number of complex sentences in a call increases as the alert level goes up. As a result of (2), it was found that generally, female voice with normal pitch and speed obtained the highest rate in terms of perceived intelligibility, reliability, and urgency; however, faster speech was the most effective for perceived urgency.
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Free Research Field |
言語学
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