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Effects of Smart Virtual Assistants’ Gender and Language

dc.contributor.authorHabler, Florian
dc.contributor.authorSchwind, Valentin
dc.contributor.authorHenze, Niels
dc.contributor.editorAlt, Florian
dc.contributor.editorBulling, Andreas
dc.contributor.editorDöring, Tanja
dc.date.accessioned2019-08-22T04:36:37Z
dc.date.available2019-08-22T04:36:37Z
dc.date.issued2019
dc.description.abstractSmart virtual assistants (SVA) are becoming increasingly popular. Prominent SVAs, including Siri, Alexa, and Cortana, have female-gendered names and voices which raised the concern that combining female-gendered voices and submissive language amplifies gender stereotypes. We investigated the effect of gendered voices and the used language on the perception of SVAs. We asked participants to assess the performance, personality and user experience of an SVA while controlling the gender of the voice and the attributed status of the language. We show that low-status language is preferred but the voice's gender has a much smaller effect. Using low-status language and female-gendered voices might be acceptable but solely combining low-status language with female-gendered voices is not.en
dc.description.urihttps://dl.acm.org/authorize?N681273
dc.identifier.doi10.1145/3340764.3344441
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/24615
dc.language.isoen
dc.publisherACM
dc.relation.ispartofMensch und Computer 2019 - Tagungsband
dc.relation.ispartofseriesMensch und Computer
dc.subjectsmart virtual assistant
dc.subjectnatural language interface
dc.subjectgender bias
dc.titleEffects of Smart Virtual Assistants’ Gender and Languageen
dc.typeText/Conference Paper
gi.citation.publisherPlaceNew York
gi.conference.date8.-11. September 2019
gi.conference.locationHamburg
gi.conference.sessiontitleMCI: Short Paper (Poster)
gi.document.qualitydigidoc

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