Face Me! Head-Tracker Interface Evaluation on Mobile Devices

Maria Francesca Roig-Maimó, Javier Varona, Cristina Manresa-Yee · 2015

The integration of front cameras on mobile devices and the increase on processing capacity has opened the door to head-tracker interfaces on mobile devices. However, research mostly focus on the development of new interfaces and their integration into prototypes without analyzing human performance. In this work, we present a head-tracker interface for mobile devices and its evaluation from the point of view of Human-Computer Interaction. Nineteen participants performed position-select tasks using their nose's movement. User performance was measured with different device orientations and combining different gain and target width. Based on the obtained results, two design recommendations were made for those designers using the developed interface. In addition, we confirmed that device orientation, a particular feature for mobile devices that does not affect desktop computers, has no effect on the user's performance.

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