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
Zusammenfassung
This 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.
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- BibTeX
Obremski, D., Wienrich, C. & Carolus, A.,
(2020).
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.
In:
Hansen, C., Nürnberger, A. & Preim, B.
(Hrsg.),
Mensch und Computer 2020 - Workshopband.
Bonn:
Gesellschaft für Informatik e.V..
DOI: 10.18420/muc2020-ws105-377
@inproceedings{mci/Obremski2020,
author = {Obremski, David AND Wienrich, Carolin AND Carolus, Astrid},
title = {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},
booktitle = {Mensch und Computer 2020 - Workshopband},
year = {2020},
editor = {Hansen, Christian AND Nürnberger, Andreas AND Preim, Bernhard} ,
doi = { 10.18420/muc2020-ws105-377 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Obremski, David AND Wienrich, Carolin AND Carolus, Astrid},
title = {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},
booktitle = {Mensch und Computer 2020 - Workshopband},
year = {2020},
editor = {Hansen, Christian AND Nürnberger, Andreas AND Preim, Bernhard} ,
doi = { 10.18420/muc2020-ws105-377 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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Mehr Information
Datum: 2020
Sprache:
(en)
(en)
Typ: Text/Conference Poster

