Abstract. The growing amount of digital music available at desktop computers and portable media players increases the need for interfaces that facilitate efficient music navigation. Search patterns are quantified and evaluated across types of feedback and input controllers in an experiment with 12 participants. The way music is searched and the subjective factors varied significantly across input device and type of audio feedback. However, no difference in task completion time was found for the evaluated interfaces. Based on the experiments, we propose several ways in which future designs may improve searching and browsing in recorded music.
Music recommender systems typically offer a “one-size-fits-all” approach with the same user controls...
© 2018 Association for Computing Machinery. The "black box" nature of today's recommender systems ra...
A workshop focused on pleasure-driven, rather than task-driven, searchSession 1: Fun MediaMusic is a...
The results of an online survey on music listening and management are presented and analyzed. With 5...
Personalized and user-aware systems for retrieving multimedia items are becoming increasingly import...
The present paper investigates the effects of different kinds of music on information searching in a...
We report the results of a survey on music listening and management behaviours. The survey was condu...
In the last ten years, our ways to listen to music have drastically changed: In earlier times, we we...
The Music Information Retrieval (MIR) community has long understood the role of evaluation as a crit...
The typical approach for finding audio recordings, such as music and sound effects, in a database is...
This paper explores how we, as individuals, purposefully or serendipitously encounter 'new music' (t...
This paper presents a novel mechanism that seeks to allow people to explore large collections of loo...
This paper explores how we, as individuals, purposefully or serendipitously encounter 'new music' (t...
Current music consumers are facing an almost endless selection of music in online services to be acc...
Providing means to assist the user in finding music is one of the original motivations underlying th...
Music recommender systems typically offer a “one-size-fits-all” approach with the same user controls...
© 2018 Association for Computing Machinery. The "black box" nature of today's recommender systems ra...
A workshop focused on pleasure-driven, rather than task-driven, searchSession 1: Fun MediaMusic is a...
The results of an online survey on music listening and management are presented and analyzed. With 5...
Personalized and user-aware systems for retrieving multimedia items are becoming increasingly import...
The present paper investigates the effects of different kinds of music on information searching in a...
We report the results of a survey on music listening and management behaviours. The survey was condu...
In the last ten years, our ways to listen to music have drastically changed: In earlier times, we we...
The Music Information Retrieval (MIR) community has long understood the role of evaluation as a crit...
The typical approach for finding audio recordings, such as music and sound effects, in a database is...
This paper explores how we, as individuals, purposefully or serendipitously encounter 'new music' (t...
This paper presents a novel mechanism that seeks to allow people to explore large collections of loo...
This paper explores how we, as individuals, purposefully or serendipitously encounter 'new music' (t...
Current music consumers are facing an almost endless selection of music in online services to be acc...
Providing means to assist the user in finding music is one of the original motivations underlying th...
Music recommender systems typically offer a “one-size-fits-all” approach with the same user controls...
© 2018 Association for Computing Machinery. The "black box" nature of today's recommender systems ra...
A workshop focused on pleasure-driven, rather than task-driven, searchSession 1: Fun MediaMusic is a...