STUDY OF MUSIC APPLICATION RECOMMENDATION FEATURES AFFECTING USER EXPERIENCE AND SATISFACTION

Abstract

Introduction: The rapid development of the modern Internet has transformed patterns of entertainment consumption, with music applications emerging as highly popular platforms that provide convenience, variety, and personalized listening experiences. Objective: (1) examine the general usage of music application recommendation features among users, (2) investigate the relationships among factors influencing user experience, and (3) assess user satisfaction with such features. Methods: A mixed-methods research design integrating quantitative and qualitative approaches was employed. Results: indicate that user experience is shaped by multiple dimensions, including recommendation accuracy, social influence, interactivity, perceived control, and contextual adaptability, with accuracy and social influence identified as the most critical determinants. Older users (aged 46 and above) demonstrated greater acceptance of recommendation accuracy, while occupational differences were not statistically significant (p > 0.05). User satisfaction was further influenced by feature interaction, awareness, acceptance attitudes, subjective norms, perceived behavioral control, perceived capability, and perceived experience. The measurement instruments exhibited high reliability and validity (Cronbach’s α > 0.87, KMO = 0.950). Conclusion: recommendation accuracy and social influence are the key drivers of user experience and satisfaction, with older users showing greater acceptance of recommendation systems.