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Using Voice Data to Measure and Predict Consumer Preferences

Type
conference contribution
Date Issued
2025-10
Author(s)
Gaerth, Maximilian
;
Hauke Roggenkamp  
;
Christian Alexander Hildebrand  
;
Jiang, Zhenling
Abstract
When consumers use voice-enabled technologies, they convey more than their
choices—they reveal paralinguistic cues. Across four studies, we demonstrate that
certain vocal cues are closely linked to preference strength, enabling reliable
predictions. We discuss the implications of our findings in an increasingly voice-first digital
landscape.
Language
English (United States)
Event Title
ACR
Event Location
Waschington
Event Date
09. - 11.10.2025
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/124525
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