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dc.contributor.authorShiramizu, Victor Kenji Men_UK
dc.contributor.authorLee, Anthony Jen_UK
dc.contributor.authorAltenburg, Dariaen_UK
dc.contributor.authorFeinberg, David Ren_UK
dc.contributor.authorJones, Benedict Cen_UK
dc.description.abstractThere is growing concern that artificial intelligence conversational agents (e.g., Siri, Alexa) reinforce voice-based social stereotypes. Because little is known about social perceptions of conversational agents’ voices, we investigated (1) the dimensions that underpin perceptions of these synthetic voices and (2) the role that acoustic parameters play in these perceptions. Study 1 (N = 504) found that perceptions of synthetic voices are underpinned by Valence and Dominance components similar to those previously reported for natural human stimuli and that the Dominance component was strongly and negatively related to voice pitch. Study 2 (N = 160) found that experimentally manipulating pitch in synthetic voices directly influenced dominance-related, but not valence-related, perceptions. Collectively, these results suggest that greater consideration of the role that voice pitch plays in dominance-related perceptions when designing conversational agents may be an effective method for controlling stereotypic perceptions of their voices and the downstream consequences of those perceptions.en_UK
dc.publisherSpringer Science and Business Media LLCen_UK
dc.relationShiramizu VKM, Lee AJ, Altenburg D, Feinberg DR & Jones BC (2022) The role of valence, dominance, and pitch in perceptions of artificial intelligence (AI) conversational agents’ voices. <i>Scientific Reports</i>, 12, Art. No.: 22479.
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit
dc.subjectHuman behaviouren_UK
dc.titleThe role of valence, dominance, and pitch in perceptions of artificial intelligence (AI) conversational agents’ voicesen_UK
dc.typeJournal Articleen_UK
dc.citation.jtitleScientific Reportsen_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderUniversiteit Genten_UK
dc.contributor.funderEngineering and Physical Sciences Research Councilen_UK
dc.contributor.funderEngineering and Physical Sciences Research Councilen_UK
dc.contributor.affiliationUniversity of Strathclydeen_UK
dc.contributor.affiliationGhent Universityen_UK
dc.contributor.affiliationMcMaster Universityen_UK
dc.contributor.affiliationUniversity of Strathclydeen_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
local.rioxx.authorShiramizu, Victor Kenji M|en_UK
local.rioxx.authorLee, Anthony J|0000-0001-8288-3393en_UK
local.rioxx.authorAltenburg, Daria|en_UK
local.rioxx.authorFeinberg, David R|en_UK
local.rioxx.authorJones, Benedict C|en_UK
local.rioxx.projectProject ID unknown|Engineering and Physical Sciences Research Council|
Appears in Collections:Psychology Journal Articles

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