File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Background Music for Studying: A Naturalistic Experiment on Music Characteristics and User Perception

TitleBackground Music for Studying: A Naturalistic Experiment on Music Characteristics and User Perception
Authors
KeywordsBackground music
cognitive capacity
context-aware music recommendation
music acoustic features
task engagement
task load
Issue Date14-Feb-2023
PublisherInstitute of Electrical and Electronics Engineers
Citation
IEEE MultiMedia, 2023, v. 30, n. 1, p. 62-72 How to Cite?
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.


Persistent Identifierhttp://hdl.handle.net/10722/341766
ISSN
2021 Impact Factor: 3.491
2020 SCImago Journal Rankings: 0.534

 

DC FieldValueLanguage
dc.contributor.authorLi, Fanjie-
dc.contributor.authorHu, Xiao-
dc.date.accessioned2024-03-26T05:37:02Z-
dc.date.available2024-03-26T05:37:02Z-
dc.date.issued2023-02-14-
dc.identifier.citationIEEE MultiMedia, 2023, v. 30, n. 1, p. 62-72-
dc.identifier.issn1070-986X-
dc.identifier.urihttp://hdl.handle.net/10722/341766-
dc.description.abstract<p>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.</p>-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relation.ispartofIEEE MultiMedia-
dc.subjectBackground music-
dc.subjectcognitive capacity-
dc.subjectcontext-aware music recommendation-
dc.subjectmusic acoustic features-
dc.subjecttask engagement-
dc.subjecttask load-
dc.titleBackground Music for Studying: A Naturalistic Experiment on Music Characteristics and User Perception-
dc.typeArticle-
dc.identifier.doi10.1109/MMUL.2023.3243209-
dc.identifier.scopuseid_2-s2.0-85149360169-
dc.identifier.volume30-
dc.identifier.issue1-
dc.identifier.spage62-
dc.identifier.epage72-
dc.identifier.eissn1941-0166-
dc.identifier.issnl1070-986X-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats