The Influence of Ethnocentrism on Trait Attribution Perceptions towards Standard American, Foreign and Machine Accents

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dc.contributor.advisor Kim, Min-Sun
dc.contributor.author Liechtenstein, Marguerite
dc.contributor.department Communication
dc.date.accessioned 2021-02-08T21:17:08Z
dc.date.available 2021-02-08T21:17:08Z
dc.date.issued 2020
dc.description.degree M.A.
dc.identifier.uri http://hdl.handle.net/10125/73320
dc.subject Communication
dc.subject Computer-synthesized Voice
dc.subject Ethnocentrism
dc.subject Foreign Accent
dc.subject Perceptions
dc.subject Standard Accent
dc.subject Trait Attributions
dc.title The Influence of Ethnocentrism on Trait Attribution Perceptions towards Standard American, Foreign and Machine Accents
dc.type Thesis
dcterms.abstract The main purpose of this study was to examine the influence of ethnocentrism on American-English speakers' ratings of standard American, foreign, and computer-synthesized accents on the task and social dimension of trait attributions. The 351 MTurk participants were asked to listen to nine accents separately and consequently fill out the measure for perceptions of trait attributions (task and social dimensions) and perceived voice impressions. This was followed by the generalized ethnocentrism scale and a demographic questionnaire. The results indicate that in general American-English speakers rate the standard American accent higher on the task and social dimensions of trait attributions than a low prestige foreign, followed by computer-synthesized accents. Secondly, the findings indicate that as American-English speakers' ethnocentric tendencies increase, the computer-synthesized accent is increasingly perceived more positively than a low prestige foreign accent on the task and social dimensions of trait attributions. These results highlight the role of high levels of ethnocentrism on perceptions of foreign accents, which is perceived significantly less positive than machine accents. As previous notions of in-group favoritism among humans are challenged in our increasingly technological world, future research needs to engage in theoretical and ethical implications of communication with intelligent machines.
dcterms.extent 82 pages
dcterms.language en
dcterms.publisher University of Hawai'i at Manoa
dcterms.rights All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
dcterms.type Text
local.identifier.alturi http://dissertations.umi.com/hawii:10829
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