Understanding Music Listening Intents During Daily Activities with Implications for Contextual Music Recommendation

Volokhin, Sergey; Agichtein, Eugene

doi:10.1145/3176349.3176885

Cited by 29 publications

(10 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For example, mobile video viewing was found to often occur in tandem with independent activities like cooking or while being in transit (e.g., for granting distraction or as "background noise") [38]. Similarly, people often listen to music while eating, exercising or driving their car [32,59].…”

Section: Radiomentioning

confidence: 99%

Stay Tuned! An Investigation of Content Substitution, the Listener as Curator and Other Innovations in Broadcast Radio

Wijnants

Geurts

Lievens

et al. 2021

ACM International Conference on Interactive Media Experiences

View full text Add to dashboard Cite

This paper demystifes listeners' wishes with respect to broadcast radio innovation (with a specifc focus on radio-mediated music consumption). Our study encompasses an ideation workshop with radio experts, an exploratory survey and a mixed methods empirical evaluation. The empirical evaluation uses two concrete concepts (i.e., letting listeners on-the-fy replace radio content with preferred content and fostering participatory radio production by involving listeners as radio content curators) as a lens to zoom in on the questionable desirability of radio innovation. It is learned that a signifcant consumer group exists who will stay loyal to broadcast radio even if it does not evolve substantially, whereas others need disruptive incentives to start listening to radio (again). From our results we distill design recommendations to educate the radio production community about how best to approach radio innovation. CCS CONCEPTS• Information systems → Multimedia streaming; • Humancentered computing → Laboratory experiments; User studies.

show abstract

Section: Radiomentioning

confidence: 99%

Stay Tuned! An Investigation of Content Substitution, the Listener as Curator and Other Innovations in Broadcast Radio

Wijnants

Geurts

Lievens

et al. 2021

ACM International Conference on Interactive Media Experiences

View full text Add to dashboard Cite

show abstract

“…Personalized recommendations are increasingly employed in a variety of areas, most commonly in entertainment to for instance recommend music or videos [11,19,32,35], product recommendation in online shopping platforms [25,34], and social media platforms [16,23]. Document recommendation, on the other hand, has not received as much attention.…”

Section: Recommendationmentioning

confidence: 99%

Effects of Past Interactions on User Experience with Recommended Documents

Jahanbakhsh

Awadallah

Dumais

et al. 2020

Proceedings of the 2020 Conference on Human Information Interaction and Retrieval

View full text Add to dashboard Cite

Recommender systems are commonly used in entertainment, news, e-commerce, and social media. Document recommendation is a new and under-explored application area, in which both re-finding and discovery of documents need to be supported. In this paper we provide an initial exploration of users' experience with recommended documents, with a focus on how prior interactions influence recognition and interest. Through a field study of more than 100 users, we investigate the effects of past interactions with recommended documents on users' recognition of, prior intent to open, and interest in the documents. We examined different presentations of interaction history, and the recency and richness of prior interaction. We found that presentation only influenced recognition time. Our findings also indicate that people are more likely to recognize documents they had accessed recently and to do so more quickly. Similarly, documents that people had interacted with more deeply were also more frequently and quickly recognized. However, people were more interested in older documents or those with which they had less involved interactions. This finding suggests that in addition to helping users quickly access documents they intend to re-find, document recommendation can add value in helping users discover other documents. Our results offer implications for designing document recommendation systems that help users fulfil different needs. CCS CONCEPTS • Human-centered computing → Empirical studies in HCI.

show abstract

“…Research has consistently found that music listening occurs frequently during personal maintenance (e.g., housework, cooking), active leisure activities (e.g., exercise, socializing), and travelling (e.g., driving, walking) [14,22,34,43,49]. Volokhin and Agichtein [49] showed the variability of activities people engage in while listening to music, but certain activities such as driving, housework, exercise, and cooking remain at the top across age groups and cultures. Heye and Lamont [18] found that people who frequently listen to music while on the move mainly listen for enjoyment, passing time, and enhancing emotional states.…”

Section: User-based Contextual Characteristicsmentioning

confidence: 99%

ContextPlay

Jin

Htun

Tintarev

et al. 2019

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization

View full text Add to dashboard Cite

Music preferences are likely to depend on contextual characteristics such as location and activity. However, most recommender systems do not allow users to adapt recommendations to their current context. We therefore built ContextPlay, a context-aware music recommender that enables user control for both contextual characteristics and music preferences. By conducting a mixed-design study (N=114) with four typical scenarios of music listening, we investigate the effect of controlling contextual characteristics in a music recommender system on four aspects: perceived quality, diversity, effectiveness, and cognitive load. Compared to our baseline which only allows to specify music preferences, having additional control for context leads to higher perceived quality and does not increase cognitive load. We also find that the contexts of mood, weather, and location tend to influence user perception of the system. Moreover, we found that users are more likely to modify contexts and their profile during relaxing activities. CCS CONCEPTS• Information systems → Personalization; Recommender systems; • Human-centered computing → User studies; Empirical studies in HCI.

show abstract

Understanding Music Listening Intents During Daily Activities with Implications for Contextual Music Recommendation

Cited by 29 publications

References 14 publications

Stay Tuned! An Investigation of Content Substitution, the Listener as Curator and Other Innovations in Broadcast Radio

Stay Tuned! An Investigation of Content Substitution, the Listener as Curator and Other Innovations in Broadcast Radio

Effects of Past Interactions on User Experience with Recommended Documents

ContextPlay

Contact Info

Product

Resources

About