From manual to assisted playlist creation: a survey

Dias, Ricardo; Gonçalves, Daniel; Fonseca, Manuel J.

doi:10.1007/s11042-016-3836-x

Cited by 15 publications

(7 citation statements)

References 50 publications

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“…The results indicate that, overall, the participants consider the homogeneity of musical features (e.g., tempo, energy or loudness) along with the artist diversity of the resulting playlist as the most relevant quality criteria for playlists. Surprisingly, the lyrics aspect was ranked third, i.e., before the order and the popularity of the tracks, as well as transitions between the tracks and their freshness, which are often considered as major quality criteria in previous studies (Cunningham et al 2006;Jannach et al 2014;Dias et al 2017). One explanation is that the lyrics often correspond to a theme or topic, and that this topic is even more important than the other four criteria.…”

Section: Quality Criteria For Playlistsmentioning

confidence: 93%

“…Several other works have pointed out the general importance of contextual factors when providing recommendations (Pichl et al 2012;Dias et al 2017;L'Huillier et al 2017). However, the importance of contextual aspects in comparison to other quality factors has, to the best of our knowledge, not been studied so far.…”

Section: Research Question 4 (Rq 4) How Important Is Each Of the Musimentioning

confidence: 94%

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Effects of recommendations on the playlist creation behavior of users

Kamehkhosh

Bonnin

Jannach

2019

User Model User-Adap Inter

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The digitization of music, the emergence of online streaming platforms and mobile apps have dramatically changed the ways we consume music. Today, much of the music that we listen to is organized in some form of a playlist, and many users of modern music platforms create playlists for themselves or to share them with others. The manual creation of such playlists can however be demanding, in particular due to the huge amount of possible tracks that are available online. To help users in this task, music platforms like Spotify provide users with interactive tools for playlist creation. These tools usually recommend additional songs to include given a playlist title or some initial tracks. Interestingly, little is known so far about the effects of providing such a recommendation functionality. We therefore conducted a user study involving 270 subjects, where one half of the participants-the treatment group-were provided with automated recommendations when performing a playlist construction task. We then analyzed to what extent such recommendations are adopted by users and how they influence their choices. Our results, among other aspects, show that about two thirds of the treatment group made active use of the recommendations. Further analyses provide additional insights about the underlying reasons why users selected certain recommendations. Finally, our study also reveals that the mere presence of the recommendations impacts the choices of the participants, even in cases when none of the recommendations was actually chosen.

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Section: Quality Criteria For Playlistsmentioning

confidence: 93%

Section: Research Question 4 (Rq 4) How Important Is Each Of the Musimentioning

confidence: 94%

Effects of recommendations on the playlist creation behavior of users

Kamehkhosh

Bonnin

Jannach

2019

User Model User-Adap Inter

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“…Playlists have gathered increasing scholarly attention (Dias et al, 2017;Eriksson & Johansson, 2017;Hagen, 2015). As Dhaenens and Burgess (2018) note, "the playlist has become a primary means to discover, order and share music " (p. 2).…”

Section: Theorizing Playlists As Genresmentioning

confidence: 99%

Genres as Social Affect: Cultivating Moods and Emotions through Playlists on Spotify

Siles

Segura-Castillo

Sancho

et al. 2019

Social Media + Society

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Gabriela" is a 21-year-old sound engineer based in San José, Costa Rica. Music occupies a good part of her day, both for professional and personal reasons. In 2014, she created her own account on Spotify. Although she also uses a wide range of social media platforms, Spotify is, by her own admission, the only app that she is willing to pay for. During an interview we conducted for this project, "Gabriela" was hard pressed to find something she did not like about the platform. She discussed extensively what made the service so appealing to her. The following quote summarizes what she mainly uses Spotify for: I made a playlist that was called "Nostalgic Jams," which is a playlist that is simply like nostalgic vibes. I made a little cover for it and it is a playlist similar to R&B [rhythm and blues], but slow and nostalgic. For me, that's like a genre or subgenre that I have to conceptualize, which I named and made public. "Gabriela's" comments provide us with an opportunity to present four issues discussed in this article. First, we elaborate on how music "is a cultural form that has strong connections to emotions, feelings, and moods: the domain of affect" (Hesmondhalgh, 2013, p. 11). Specifically, this article discusses how users turn to Spotify as a means to cultivate moods and emotions. The notion of cultivation stresses the dynamic and ritual work involved in producing, capturing, and exploring moods and emotions. It is also meant to stress how music and affect mutually constitute each other (DeNora, 2000). Second, "Gabriela" reveals the centrality of playlists in how users experience music streaming services nowadays. On its support website, Spotify (2019) promotes playlists as "collection[s] of music. You can make them for yourself, you can share them, and you can enjoy the millions of other playlists created by Spotify, artists, and fans." Dias, Gonçalves, and Fonseca (2017) define playlists as "ordered sequence[s] of songs meant to be listened to as a group" (p. 14379). We show that creating playlists requires a set of practices and technologies to materialize affect into an artifact and thus cultivate moods and emotions (Orlikowski, 2007).

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“…A MSS should perhaps incorporate easy to use features that enable users to discover new music, learn about artists, organize music collections, create playlists, and share music. The ability to discover new music is essential to users and there are different ways in which this can be realized [26], [58]. The discovery of music can be supported by well-defined and detailed music categories that are easy to browse.…”

Section: Influence Of Perceived Usefulness Enjoyment and Ease Of Usementioning

confidence: 99%

The Access Model for Music and the Effect of Modification, Trial, and Sharing Usage Rights on Streaming Adoption and Piracy

Hampton-Sosa

2019

J. theor. appl. electron. commer. res.

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The access economy business model has been applied to a wide range of digital goods and services such as software, movies, music, and books. The digital platforms that manage transactions between buyers and sellers enable product rights owners to define product usage rights with a great deal of precision. In this paper, music product usage rights for digital consumption and platform attributes of music streaming systems are discussed and a model for digital music streaming system adoption and digital piracy is presented. The results of a quasi-experiment suggest that the perceived freedom to tryout, modify, and share digital music products contribute to both perceived usefulness and perceived enjoyment of a product format and the music streaming system. In turn, perceived usefulness and perceived enjoyment lead to the intention to adopt a music streaming system. The perceived usefulness of a music streaming system is associated with a reduction of pirating intention.

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From manual to assisted playlist creation: a survey

Cited by 15 publications

References 50 publications

Effects of recommendations on the playlist creation behavior of users

Effects of recommendations on the playlist creation behavior of users

Genres as Social Affect: Cultivating Moods and Emotions through Playlists on Spotify

The Access Model for Music and the Effect of Modification, Trial, and Sharing Usage Rights on Streaming Adoption and Piracy

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