TY - JOUR A1 - Greb, Fabian A1 - Steffens, Jochen A1 - Schlotz, Wolff T1 - Modeling Music-Selection Behavior in Everyday Life: A Multilevel Statistical Learning Approach and Mediation Analysis of Experience Sampling Data JF - Frontiers in psychology N2 - Music listening has become a highly individualized activity with smartphones and music streaming services providing listeners with absolute freedom to listen to any kind of music in any situation. Until now, little has been written about the processes underlying the selection of music in daily life. The present study aimed to disentangle some of the complex processes among the listener, situation, and functions of music listening involved in music selection. Utilizing the experience sampling method, data were collected from 119 participants using a smartphone application. For 10 consecutive days, participants received 14 prompts using stratified-random sampling throughout the day and reported on their music-listening behavior. Statistical learning procedures on multilevel regression models and multilevel structural equation modeling were used to determine the most important predictors and analyze mediation processes between person, situation, functions of listening, and music selection. Results revealed that the features of music selected in daily life were predominantly determined by situational characteristics, whereas consistent individual differences were of minor importance. Functions of music listening were found to act as a mediator between characteristics of the situation and music-selection behavior. We further observed several significant random effects, which indicated that individuals differed in how situational variables affected their music selection behavior. Our findings suggest a need to shift the focus of music-listening research from individual differences to situational influences, including potential person-situation interactions. KW - music-listening behavior KW - music-selection behavior KW - machine learning Y1 - 2019 U6 - https://doi.org/10.3389/fpsyg.2019.00390 N1 - This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). VL - 10 PB - Frontiers ER - TY - CHAP A1 - Wilczek, Tobias A1 - Steffens, Jochen A1 - Weinzierl, Stefan ED - Lautenbach, Margriet ED - Witew, Ingo B. ED - de Vries, Diemer ED - Hornikx, Maarten T1 - Room acoustics, soundscapes and customer satisfaction in restaurants – a field study T2 - Proceedings of the International Symposium on Room Acoustics (ISRA) 2019, Amsterdam, Netherlands. Y1 - 2019 SN - 978-90-9032895-9 U6 - https://doi.org/10.18154/RWTH-CONV-240148 SP - 854 EP - 857 PB - Nederlands Akoestisch Genootschap CY - Heerde ER - TY - CHAP A1 - Steffens, Jochen A1 - Müller, Franz A1 - Schulz, Melanie A1 - Gibson, Samuel T1 - Cognitive load influences the evaluation of complex acoustical scenarios T2 - Proceedings of the 23rd International Congress on Acoustics Y1 - 2019 SN - 978-3-939296-15-7 U6 - https://doi.org/10.18154/RWTH-CONV-239577 PB - Deutsche Gesellschaft für Akustik e.V. CY - Aachen ER - TY - CHAP A1 - Luizard, Paul A1 - Steffens, Jochen A1 - Weinzierl, Stefan ED - Lautenbach, Margriet ED - Witew, Ingo B. ED - de Vries, Diemer ED - Hornikx, Maarten T1 - Adaptation of singers to physical and virtual room acoustics T2 - Proceedings of the International Symposium on Room Acoustics (ISRA) 2019, Amsterdam, Netherlands. Y1 - 2019 SN - 978-90-9032895-9 U6 - https://doi.org/10.18154/RWTH-CONV-240115 PB - Nederlands Akoestisch Genootschap CY - Heerde ER - TY - CHAP A1 - Jakobs, Christoph A1 - Böldt, Sebastian A1 - Selbach, Dustin A1 - Steffens, Jochen T1 - Extreme response style in listening tests T2 - Proceedings of the 23rd International Congress on Acoustics: integrating 4th EAA Euroregio 2019 : 9-13 September 2019 in Aachen, Germany Y1 - 2019 SN - 978-3-939296-15-7 U6 - https://doi.org/10.18154/RWTH-CONV-239966 CY - Aachen ER -