The nature of statistical learning theory
The nature of statistical learning theory
NewsComm: a hand-held interface for interactive access to structured audio
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Developing a context-aware electronic tourist guide: some issues and experiences
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Nomadic radio: speech and audio interaction for contextual messaging in nomadic environments
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction with mobile systems
LifeMinder: A Wearable Healthcare Support System Using User's Context
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
Context-Aware Notification for Wearable Computing
ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
SoundWeb: Hyperlinked Voice Data for Wearable Computing Environment
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
SWAN: System for Wearable Audio Navigation
ISWC '07 Proceedings of the 2007 11th IEEE International Symposium on Wearable Computers
ISMAR '08 Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality
ConteXinger: a context-aware song generator
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Primer Streamer: a System to Attract Users to Interests via Images on HMD
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
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Audio usage is one of the more widely-applicable methods of information presentation in wearable computing environments since it can be used hands-free, requires only small devices like earphones, and does not interfere with most tasks compared with other methods including visual displays. However, since presented sound is often drowned out by ambient noise or conversational voice, a user is forced to turn the volume up to catch the audio information. Therefore, we propose an audio information presentation method that takes into account the user contexts. In our proposed method, a system estimates the user contexts based on the data from wearable sensors and a microphone, and then controls and presents the audio information so that it can be surely audible by changing the volume and the timing for presentation. The evaluation results confirmed the effectiveness of our proposed method.