TiltType: accelerometer-supported text entry for very small devices
Proceedings of the 15th annual ACM symposium on User interface software and technology
Mobile HCI '02 Proceedings of the 4th International Symposium on Mobile Human-Computer Interaction
TiltText: using tilt for text input to mobile phones
Proceedings of the 16th annual ACM symposium on User interface software and technology
Keyboards Redux: Fast Mobile Text Entry
IEEE Pervasive Computing
Mobile text entry: relationship between walking speed and text input task difficulty
Proceedings of the 7th international conference on Human computer interaction with mobile devices & services
How do people tap when walking? An empirical investigation of nomadic data entry
International Journal of Human-Computer Studies
Using “tilt” as an interface to control “no-button” 3-D mobile games
Computers in Entertainment (CIE) - SPECIAL ISSUE: Media Arts
Getting off the treadmill: evaluating walking user interfaces for mobile devices in public spaces
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
GesText: accelerometer-based gestural text-entry systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social and technical challenges in parenting teens' social media use
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
FittsTilt: the application of Fitts' law to tilt-based interaction
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
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Most modern tablet devices and phones include tilt-based sensing but to-date tilt is primarily used either for input with games or for detecting screen orientation. This paper presents the results of an experiment with teenage users to explore a new tilt-based input technique on mobile devices intended for text entry. The experiment considered the independent variables grip (one-handed, two-handed) and mobility (sitting, walking) with 4 conditions. The study involved 52 participants aged 11-16 carrying out multiple target selection tasks in each condition. Performance metrics derived from the data collected during the study revealed interesting quantitative findings, with the optimal condition being sitting using a two-handed grip. While walking, task completion time was 22.1% longer and error rates were 63.9% higher, compared to sitting. Error rate were 31.4% lower using a two-handed grip, compared to a one-handed grip. Qualitative results revealed a highly positive response to target selection performed using the method described here. This paper highlights the potential value of tilt as a technique for text input for teenage users.