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What the user’s voice tells us about UX - Analysing parameters of the voice as indicators of the User Experience of the usage of intelligent voice assistants

dc.contributor.authorObremski, David
dc.contributor.authorWienrich, Carolin
dc.contributor.authorCarolus, Astrid
dc.contributor.editorHansen, Christian
dc.contributor.editorNürnberger, Andreas
dc.contributor.editorPreim, Bernhard
dc.date.accessioned2020-08-18T15:19:58Z
dc.date.available2020-08-18T15:19:58Z
dc.date.issued2020
dc.description.abstractThis paper investigates voice parameters as indicators of the user experience during their interaction with voice-based technology. Following the requirements of a non-intrusive measurement and an automatic analysis, a tool is developed, which automatically measures and analyses speech recordings of users during interactions with voice assistants. The tool distinguishes between user- and voice assistant speech and analyses mean amplitude and pitch of user's speech as parameters reflecting the user experience of users. A user study presents first steps of a validation of the first version and reveals limitations and requirements for further developments.en
dc.identifier.doi10.18420/muc2020-ws105-377
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/33544
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2020 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.subjectUser Experience
dc.subjectVoice Assistants
dc.subjectSpeech
dc.titleWhat the user’s voice tells us about UX - Analysing parameters of the voice as indicators of the User Experience of the usage of intelligent voice assistantsen
dc.typeText/Workshop Paper
gi.citation.publisherPlaceBonn
gi.conference.date6.-9. September 2020
gi.conference.locationMagdeburg
gi.conference.sessiontitleMCI-WS11: Quantitative Methoden zur Messung von User Experience
gi.document.qualitydigidoc

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