Personalized Synchronous Running Music Remix Procedure for Novice Runners

Abstract

Running music, which refers to background music for running, plays a crucial part in various mobile applications for running. Existing solutions for presenting running music cannot simultaneously address runners’ preferences, physical conditions, and training goals, resulting in lower running efficiency, higher injury likelihood, and significant mental fatigue. We proposed a novel running music adaptation method to address this problem. Specifically, the adaptation starts with a trial run, where the runner’s running statistics are sampled. Then, with parameters identified from the trial run, cadence goals are set accordingly. The song list provided by the runner is augmented with recommendation systems and later tagged, screened, sorted, and split. Finally, the music parts are rearranged and adjusted to match the cadence goals before being mixed with the training instructions. Unlike previous running music interventions, our method introduces a way to blend different music parts, giving runners unprecedented pleasure in running. Quantitative and qualitative results have shown that the crafted remix can reduce perceived effort, boost the pleasures, run more safely, and help the runners reach their second wind, providing novice runners with a passion for following the training programs.