Gestural and audio metaphors as a means of control for mobile devices
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Overcoming the Lack of Screen Space on Mobile Computers
Personal and Ubiquitous Computing
Rhythmic interaction with a mobile device
Proceedings of the third Nordic conference on Human-computer interaction
DJogger: a mobile dynamic music device
CHI '06 Extended Abstracts on Human Factors in Computing Systems
Gait analyzer based on a cell phone with a single three-axis accelerometer
Proceedings of the 8th conference on Human-computer interaction with mobile devices and services
Gait alignment in mobile phone conversations
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Proceedings of the 9th international conference on Human computer interaction with mobile devices and services
Mobile empathy: putting the mobile device in its user's shoes
Proceedings of the 5th Nordic conference on Human-computer interaction: building bridges
Parakeet: a continuous speech recognition system for mobile touch-screen devices
Proceedings of the 14th international conference on Intelligent user interfaces
Social gravity: a virtual elastic tether for casual, privacy-preserving pedestrian rendezvous
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Health monitoring using gait phase effects
Proceedings of the 3rd International Conference on PErvasive Technologies Related to Assistive Environments
"I did it my way": moving away from the tyranny of turn-by-turn pedestrian navigation
Proceedings of the 12th international conference on Human computer interaction with mobile devices and services
The effects of walking and control method on pressure-based interaction
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Maintaining and modifying pace through tactile and multimodal feedback
Interacting with Computers
The effects of walking speed on target acquisition on a touchscreen interface
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
The effects of walking, feedback and control method on pressure-based interaction
Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services
Multimodal mobile interactions: usability studies in real world settings
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Rhythmic interaction for song filtering on a mobile device
HAID'06 Proceedings of the First international conference on Haptic and Audio Interaction Design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Understanding auditory navigation to physical landmarks
HAID'12 Proceedings of the 7th international conference on Haptic and Audio Interaction Design
An exploration of inadvertent variations in mobile pressure input
MobileHCI '12 Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services
Improving the controllability of tilt interaction for mobile map-based applications
International Journal of Human-Computer Studies
Navigation your way: from spontaneous independent exploration to dynamic social journeys
Personal and Ubiquitous Computing
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One problem evaluating mobile and wearable devices is that they are used in mobile settings, making it hard to collect usability data. We present a study of tap-based selection of on-screen targets whilst walking and sitting, using a PocketPC instrumented with an accelerometer to collect information about user activity at the time of each tap. From these data the user's gait can be derived, and this is then used to investigate preferred tapping behaviour relative to gait phase, and associated tap accuracy. Results showed that users were more accurate sitting than walking. When walking there were phase regions with significantly increased tap likelihood, and these regions had significantly lower error rates, and lower error variability. This work represents an example of accelerometer-instrumented mobile usability analysis, and the results give a quantitative understanding of the detailed interactions taking place when on the move, allowing us to develop better mobile interfaces.