Cargando…
Modeling Music-Selection Behavior in Everyday Life: A Multilevel Statistical Learning Approach and Mediation Analysis of Experience Sampling Data
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....
Autores principales: | Greb, Fabian, Steffens, Jochen, Schlotz, Wolff |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433931/ https://www.ncbi.nlm.nih.gov/pubmed/30941066 http://dx.doi.org/10.3389/fpsyg.2019.00390 |
Ejemplares similares
-
Modeling Evaluations of Low-Level Sounds in Everyday Situations Using Linear Machine Learning for Variable Selection
por: Versümer, Siegbert, et al.
Publicado: (2020) -
The Sound of Success: Investigating Cognitive and Behavioral Effects of Motivational Music in Sports
por: Elvers, Paul, et al.
Publicado: (2017) -
Musical Expertise and Statistical Learning of Musical and Linguistic Structures
por: Schön, Daniele, et al.
Publicado: (2011) -
Women With Obesity Are Not as Curvy as They Think: Consequences on Their Everyday Life Behavior
por: Urdapilleta, Isabel, et al.
Publicado: (2019) -
The Role of Music in Everyday Life During the First Wave of the Coronavirus Pandemic: A Mixed-Methods Exploratory Study
por: Carlson, Emily, et al.
Publicado: (2021)