The Well Mannered Wearable Computer
Personal and Ubiquitous Computing
Interfacing to the foot: apparatus and applications
CHI '00 Extended Abstracts on Human Factors in Computing Systems
ISWC '98 Proceedings of the 2nd IEEE International Symposium on Wearable Computers
Personal and Ubiquitous Computing
Gait phase effects in mobile interaction
CHI '05 Extended Abstracts on Human Factors in Computing Systems
Computer Animation and Virtual Worlds
TripleBeat: enhancing exercise performance with persuasion
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
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
Health sense: a gedanken experiment on persuasive wearable technology for health awareness
Proceedings of the 1st ACM International Health Informatics Symposium
Exploring the possibilities of body motion data for human computer interaction research
USAB'10 Proceedings of the 6th international conference on HCI in work and learning, life and leisure: workgroup human-computer interaction and usability engineering
MusicalHeart: a hearty way of listening to music
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Reactive music: when user behavior affects sounds in real-time
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Proceedings of International Conference on Advances in Mobile Computing & Multimedia
The neglected user in music information retrieval research
Journal of Intelligent Information Systems
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Maintaining motivation during exercise can be difficult for people engaged in individual workout routines. A common method for maintaining pace and staying motivated is the introduction of a musical soundtrack. The pace of the music and selection of songs influences the workout by suggesting how one should adjust their effort, or help with the timing of a precise regimen. To explore the impact of music on pace and motivation in exercise, we present our work so far on DJogger. DJogger builds a model of a runner's pace and uses this information along with a workout plan to dynamically adjust the musical soundtrack. DJogger contributes a compelling application of HCI to fitness, and explores methods for real world wearable evaluation.