Voice Assistants
Humans have been communicating by voice with one another for millennia. As a result, we can reliably infer an array of characteristics based solely on the paralinguistic features of a voice, including discrete momentary emotions and personality traits. Today, voice assistants such as Siri, Alexa, and Google Assistant have become ubiquitous tech trappings of the modern digital age. We are studying how alterations to the synthesized voice of virtual assistants affects people’s perceptions and behaviors.
Christian Hildebrand, Ph.D
Director
Francesc Busquet, M.Sc
Doctoral Research Associate
Fotios Efthymiou, M.Sc
Doctoral Research Associate
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Publications
Venkatraman, V., Dimoka, A., Pavlou, P. A., Vo, K., Hampton, W., Bollinger, B., & Winer, R. S. (2015). Predicting Advertising Success Beyond Traditional Measures: New Insights from Neurophysiological Methods and Market Response Modeling. Journal of Marketing Research. pdf
Hampton, W.H., Unger A., Von Der Heide R., Olson I (2016). Neural Connections Foster Social Connections: A Diffusion-Weighted Imaging Study of Social Networks. Social Cognitive and Affective Neuroscience. pdf
Hampton*, W.H., Asadi*, N., Olson I.R. (2018). Good Things for Those Who Wait: Predictive Modeling Highlights Importance of Delay Discounting for Income Attainment. Frontiers in Psychology. pdf
