Device Motion via Head Tracking for Mobile Interaction
Sean T. Hayes, Julie A. Adams · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2016
Linear changes in position are difficult to measure using only a mobile device’s onboard sensors. Prior research has relied on external sensors or known environmental references in order to develop mobile phone interaction techniques. The Amazon Fire Phone’s® unique head-tracking capabilities were leveraged and evaluated for navigating large application spaces using device motion gestures. Although touch interaction is shown to outperform the device-motion, this research demonstrates the feasibility of using effective device-motion gestures that rely on changes in the device’s position and orientation. Design guidance for future device motion interaction capabilities is provided.