{"title":"Background Music for Studying: A Naturalistic Experiment on Music Characteristics and User Perception","authors":"Fanjie Li, Xiao Hu","doi":"10.1109/MMUL.2023.3243209","DOIUrl":null,"url":null,"abstract":"Despite the advances in context-aware background music (BM) recommendation, automated BM selection for studying-related contexts is still challenging in that the BM has to not only increase users’ activation and task engagement but also avoid distraction. This study investigated how characteristics of BM linked to users’ perceptions on task engagement and distraction. In a one-week naturalistic user experiment, 30 participants performed their everyday learning-related tasks with music selected by a BM player. We captured participants’ learning contexts and perceptions via pop-up surveys and extracted fine-grained acoustic features for each song in their music listening history via audio processing techniques. Our findings support the power of music in fostering positive studying experience (e.g., perceived engagement) and reveal how several BM characteristics may link to perceived engagement in certain (but not all) conditions. Findings are discussed in relation to theoretical BM studies and implications for generating personalized and context-sensitive BM selections in music-enhanced learning environments.","PeriodicalId":13240,"journal":{"name":"IEEE MultiMedia","volume":"30 1","pages":"62-72"},"PeriodicalIF":2.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE MultiMedia","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/MMUL.2023.3243209","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
Despite the advances in context-aware background music (BM) recommendation, automated BM selection for studying-related contexts is still challenging in that the BM has to not only increase users’ activation and task engagement but also avoid distraction. This study investigated how characteristics of BM linked to users’ perceptions on task engagement and distraction. In a one-week naturalistic user experiment, 30 participants performed their everyday learning-related tasks with music selected by a BM player. We captured participants’ learning contexts and perceptions via pop-up surveys and extracted fine-grained acoustic features for each song in their music listening history via audio processing techniques. Our findings support the power of music in fostering positive studying experience (e.g., perceived engagement) and reveal how several BM characteristics may link to perceived engagement in certain (but not all) conditions. Findings are discussed in relation to theoretical BM studies and implications for generating personalized and context-sensitive BM selections in music-enhanced learning environments.
期刊介绍:
The magazine contains technical information covering a broad range of issues in multimedia systems and applications. Articles discuss research as well as advanced practice in hardware/software and are expected to span the range from theory to working systems. Especially encouraged are papers discussing experiences with new or advanced systems and subsystems. To avoid unnecessary overlap with existing publications, acceptable papers must have a significant focus on aspects unique to multimedia systems and applications. These aspects are likely to be related to the special needs of multimedia information compared to other electronic data, for example, the size requirements of digital media and the importance of time in the representation of such media. The following list is not exhaustive, but is representative of the topics that are covered: Hardware and software for media compression, coding & processing; Media representations & standards for storage, editing, interchange, transmission & presentation; Hardware platforms supporting multimedia applications; Operating systems suitable for multimedia applications; Storage devices & technologies for multimedia information; Network technologies, protocols, architectures & delivery techniques intended for multimedia; Synchronization issues; Multimedia databases; Formalisms for multimedia information systems & applications; Programming paradigms & languages for multimedia; Multimedia user interfaces; Media creation integration editing & management; Creation & modification of multimedia applications.