Abstract
With the implementation of China's national fitness program, recreational fitness running has become one popular activity. Since there are less restrictions on the location for running, many runners like to listen to music during exercise to reduce the boringness or fatigue of running. Although it is supported that music can elevate mood for athletes, improve their athletic ability and enhance the effectiveness of training, it is also subject to different factors such as people's psychological state, education level, hobbies, and personality. In this vein, how to plan personalized music to fit various conditions of leisure fitness running became an important issue. From the users’ perspective, this research explores behavior of runners in the process of running, observes and interviews the personalized selection of music, and sorts out the framework and dimensions that could be further explored in the future, including interactive convenience, environmental factors and running state.
Keywords
personalized, music selection, recreational fitness running
DOI
https://doi.org/10.21606/drs.2020.396
Citation
Huang, J., Luh, D., and Wu, C. (2020) An exploration on influencing factors for personalized music selection in recreational fitness running activities, in Boess, S., Cheung, M. and Cain, R. (eds.), Synergy - DRS International Conference 2020, 11-14 August, Held online. https://doi.org/10.21606/drs.2020.396
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
An exploration on influencing factors for personalized music selection in recreational fitness running activities
With the implementation of China's national fitness program, recreational fitness running has become one popular activity. Since there are less restrictions on the location for running, many runners like to listen to music during exercise to reduce the boringness or fatigue of running. Although it is supported that music can elevate mood for athletes, improve their athletic ability and enhance the effectiveness of training, it is also subject to different factors such as people's psychological state, education level, hobbies, and personality. In this vein, how to plan personalized music to fit various conditions of leisure fitness running became an important issue. From the users’ perspective, this research explores behavior of runners in the process of running, observes and interviews the personalized selection of music, and sorts out the framework and dimensions that could be further explored in the future, including interactive convenience, environmental factors and running state.