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Pangratz, Elisabeth ORCID logoORCID: https://orcid.org/0009-0002-6013-6893; Chiossi, Francesco ORCID logoORCID: https://orcid.org/0000-0003-2987-7634; Villa, Steeven ORCID logoORCID: https://orcid.org/0000-0002-4881-1350; Gramann, Klaus ORCID logoORCID: https://orcid.org/0000-0003-2673-1832 und Gehrke, Lukas ORCID logoORCID: https://orcid.org/0000-0003-3661-1973 (2023): Towards an Implicit Metric of Sensory-Motor Accuracy: Brain Responses to Auditory Prediction Errors in Pianists. C&C '23: Creativity and Cognition, Virtual Event USA, June 19 - 21, 2023. ACM Special Interest Group on Computer-Human Interaction, ACM SIGs (Hrsg.), In: Proceedings of the 15th Conference on Creativity and Cognition, New York, NY, United States: Association for Computing Machinery. S. 129-138

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Abstract

During listening to music, the brain expects specific acoustic events based on learned musical rules. During music performance expectancy is additionally created based on motor action by linking keypresses to their sounds. We investigated EEG (Electroencephalography) signals to auditory expectancy violations in piano performance and perception. In our study, pianists experienced manipulations of different acoustic features, such as pitch and loudness, during playing and listening to piano sequences. We found that manipulations during performance elicited deflections with stronger amplitudes compared to manipulations during perception indicating that the action of producing sounds strengthens auditory expectancy. Loudness manipulations, violating musical regularity, elicited deflections with smaller latencies compared to pitch manipulations, which violate harmonic expectancy, suggesting that the brain processes expectancy violations of distinct acoustic features in a different way. These EEG signatures may prove useful for applications in intelligent music interfaces by providing information about sensory-motor accuracy.

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