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Rainer Banse

Researcher at University of Bonn

Publications -  101
Citations -  7938

Rainer Banse is an academic researcher from University of Bonn. The author has contributed to research in topics: Implicit-association test & Implicit attitude. The author has an hindex of 39, co-authored 94 publications receiving 7335 citations. Previous affiliations of Rainer Banse include Humboldt University of Berlin & University of Mainz.

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Acoustic profiles in vocal emotion expression.

TL;DR: Findings on decoding replicate earlier findings on the ability of judges to infer vocally expressed emotions with much-better-than-chance accuracy, including consistently found differences in the recognizability of different emotions.
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Emotion Inferences from Vocal Expression Correlate Across Languages and Cultures

TL;DR: In this paper, the authors report the results from a study conducted in nine countries in Europe, the United States, and Asia on vocal emotion portrayals of anger, sadness, fear, joy, and neutral voice as produced by professional German actors.
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Double dissociation between implicit and explicit personality self-concept: The case of shy behavior.

TL;DR: Using the trait of shyness as an example, the authors showed that it is possible to reliably assess individual differences in the implicitly measured self-concept of personality that are not accessible through traditional explicit self-ratings and increase significantly the prediction of spontaneous behavior in realistic social situations.
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Implicit attitudes towards homosexuality: reliability, validity, and controllability of the IAT

TL;DR: Two experiments were conducted to investigate the psychometric properties of an Implicit Association Test that was adapted to measure implicit attitudes towards homosexuality, and it was shown that uninformed participants were able to fake positive explicit but not implicit attitudes.
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Vocal cues in emotion encoding and decoding

TL;DR: In this paper, the correspondence between theoretical predictions on vocal expression patterns in naturally occurring emotions and empirical data on the acoustic characteristics of actors' portrayals was examined and the results for the acoustic parameters extracted from the speech signal show a number of significant differences between emotions, generally confirming the theoretical predictions.