Plans and situated actions: the problem of human-machine communication
Plans and situated actions: the problem of human-machine communication
“Making place” to make IT work: empirical explorations of HCI for mobile CSCW
GROUP '99 Proceedings of the international ACM SIGGROUP conference on Supporting group work
Machine Learning
Emotion & design: attractive things work better
interactions
Project Aura: Toward Distraction-Free Pervasive Computing
IEEE Pervasive Computing
Sonic City: Prototyping a Wearable Experience
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Interaction in 4-second bursts: the fragmented nature of attentional resources in mobile HCI
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
GpsTunes: controlling navigation via audio feedback
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
In duet with everyday urban settings: a user study of sonic city
NIME '04 Proceedings of the 2004 conference on New interfaces for musical expression
Emotion-based music recommendation by association discovery from film music
Proceedings of the 13th annual ACM international conference on Multimedia
Lifetrak: music in tune with your life
Proceedings of the 1st ACM international workshop on Human-centered multimedia
Impact of user context on song selection
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Partial signal extraction for mobile media players
Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia
Bearing-based selection in mobile spatial interaction
Personal and Ubiquitous Computing
A Human Activity Aware Learning Mobile Music Player
Proceedings of the 2007 conference on Advances in Ambient Intelligence
Context-aware mobile music recommendation for daily activities
Proceedings of the 20th ACM international conference on Multimedia
Adaptive music retrieval---a state of the art
Multimedia Tools and Applications
The neglected user in music information retrieval research
Journal of Intelligent Information Systems
| Hi-index | 0.00 |
This paper describes a mobile music player, PersonalSoundtrack, that makes real-time choices of music based on user pace. Standard playlists are non-interactive streams of previously chosen music, insensitive to user context and requiring explicit user input to find suitable songs. The context-aware mobile music player described here works with its owner's library to select music in real-time based on a taxonomy of attributes and contextual information derived from an accelerometer connected wirelessly to a laptop carried under the arm. We are in the process of evaluating this prototype with 25 users who will compare the system's context-sensitive playlist to random shuffle. On the basis of user feedback and analysis, a hand-held device will be implemented for testing in less constrained mobile scenarios. PersonalSoundtrack allows users to experience their music with both mind and body, providing a unique embodied experience of their personal music library. In mobile environments where attention is a limited resource, users can spend less time deciding what music to enjoy and more time enjoying it.