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 - TY - JOUR A1 - Adamatzky, Andrew A1 - Schnauß, Jörg A1 - Huber, Florian T1 - Actin droplet machine JF - Royal Society Open Science N2 - The actin droplet machine is a computer model of a three-dimensional network of actin bundles developed in a droplet of a physiological solution, which implements mappings of sets of binary strings. The actin bundle network is conductive to travelling excitations, i.e. impulses. The machine is interfaced with an arbitrary selected set of k electrodes through which stimuli, binary strings of length k represented by impulses generated on the electrodes, are applied and responses are recorded. The responses are recorded in a form of impulses and then converted to binary strings. The machine's state is a binary string of length k: if there is an impulse recorded on the ith electrode, there is a '1' in the ith position of the string, and '0' otherwise. We present a design of the machine and analyse its state transition graphs. We envisage that actin droplet machines could form an elementary processor of future massive parallel computers made from biopolymers. Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-34675 UR - http://www.ncbi.nlm.nih.gov/pubmed/31903204 SN - 2054-5703 N1 - A.A. was partially supported by EPSRC grant no. EP/P016677/1. The authors declare that they have no competing interests. VL - 6 IS - 12 PB - Royal Soc. Publ. ER - TY - JOUR A1 - Adamatzky, Andrew A1 - Huber, Florian A1 - Schnauß, Jörg T1 - Computing on actin bundles network JF - Scientific Reports N2 - Actin filaments are conductive to ionic currents, mechanical and voltage solitons. These travelling localisations can be utilised to generate computing circuits from actin networks. The propagation of localisations on a single actin filament is experimentally unfeasible to control. Therefore, we consider excitation waves propagating on bundles of actin filaments. In computational experiments with a two-dimensional slice of an actin bundle network we show that by using an arbitrary arrangement of electrodes, it is possible to implement two-inputs-one-output circuits. Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:hbz:due62-opus-34665 UR - http://www.ncbi.nlm.nih.gov/pubmed/31685834 SN - 2045-2322 VL - 9 IS - 1 PB - Springer Nature ER - TY - JOUR A1 - Migueles, Jairo H. A1 - Rowlands, Alex V. A1 - Huber, Florian A1 - Sabia, Séverine A1 - van Hees, Vincent T. T1 - GGIR: A Research Community–Driven Open Source R Package for Generating Physical Activity and Sleep Outcomes From Multi-Day Raw Accelerometer Data JF - Journal for the Measurement of Physical Behaviour Y1 - 2019 U6 - https://doi.org/10.1123/jmpb.2018-0063 SN - 2575-6605 VL - 2 IS - 3 SP - 188 EP - 196 PB - Human Kinetics ER - TY - JOUR A1 - Hiesinger, Karolin A1 - Tophoven, Silke T1 - Job requirement level, work demands, and health: a prospective study among older workers JF - International Archives of Occupational and Environmental Health KW - Mediation KW - Mental health KW - Older workers KW - Physical health KW - Physical work demands KW - Psychosocial work demands Y1 - 2019 UR - https://rdcu.be/b5E30 U6 - https://doi.org/10.1007/s00420-019-01451-2 VL - 92 SP - 1139 EP - 1149 PB - Springer Nature ER - TY - JOUR A1 - Kernebeck, Sven A1 - Holle, Daniela A1 - Pogscheba, Patrick A1 - Jordan, Felix A1 - Mertl, Fabian A1 - Huldtgren, Alina A1 - Bader, Sebastian A1 - Kirste, Thomas A1 - Teipel, Stefan A1 - Holle, Bernhard A1 - Halek, Margareta T1 - A Tablet App- and Sensor-Based Assistive Technology Intervention for Informal Caregivers to Manage the Challenging Behavior of People With Dementia (the insideDEM Study): Protocol for a Feasibility Study JF - JMIR research protocols Y1 - 2019 U6 - https://doi.org/10.2196/11630 VL - 8 IS - 2 PB - JMIR ER -