Interacting with Context Factors in Music Recommendation and Discovery
Research output: Contribution to journal › Article › Scientific › peer-review
The rapid development in mobile computing has brought context sensing and information available for music recommendation as well. We reviewed 19 experimental contextual music systems and found that while the context factors of location, time, activity, and identity are adopted in a wide variety of ways, the systems mainly rely on common UI solutions for interacting with these factors. Specifically, context factors could be employed to offer explanations, transparency, and visualizations of music recommendations in more explorative ways, providing novel user experiences. Based on our review, we provide implications for design and research on future media discovery systems, which we believe can realize the great potential of context-aware content services.
|Number of pages||15|
|Journal||International Journal of Human-Computer Interaction|
|Early online date||7 Oct 2016|
|Publication status||Published - 2016|
|MoE publication type||A1 Journal article-refereed|