Programming and enjoying music with your eyes closed
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Manipulating music: multimodal interaction for DJs
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A First Investigation into the Effectiveness of Tactons
WHC '05 Proceedings of the First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
Learning and Identifying Haptic Icons under Workload
WHC '05 Proceedings of the First Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems
Sound analysis using MPEG compressed audio
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02
The MUSICtable: a map-based ubiquitous system for social interaction with a digital music collection
ICEC'05 Proceedings of the 4th international conference on Entertainment Computing
An innovative three-dimensional user interface for exploring music collections enriched
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Haptic phonemes: basic building blocks of haptic communication
Proceedings of the 8th international conference on Multimodal interfaces
Designing haptic icons to support collaborative turn-taking
International Journal of Human-Computer Studies
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Current methods of playlist creation and maintenance do not support user needs, especially in a mobile context. Furthermore, they do not scale: studies show that users with large mp3 collections have abandoned the concept of playlists. To remedy the usability problems associated with playlist creation and navigation - in particular, reliance on visual feedback and the absence of rapid content scanning mechanisms - we propose a system that utilizes the haptic channel. A necessary first step in this objective is the creation of a haptic mapping for music. In this paper, we describe an exploratory study addressed at understanding the feasibility, with respect to learnability and usability, of efficient, eyes-free playlist navigation based on symbolic haptic renderings of key song parameters. Users were able to learn haptic mappings for music parameters to usable accuracy with 4 minutes of training. These results indicate promise for the approach and support for continued effort in both improving the rendering scheme and implementing the haptic playlist system.