ACM TOCHI is happy to announce the 2017 best paper award winner: “Motion Correlation: Selecting Objects by Matching their Movement” by authors Velloso, Carter, Newn, Esteves, Clarke and Gellersen.

Using eye gaze and gestures to interact with interfaces is gaining traction. Here we are shown important lessons learnt in how to design, implement and evaluate the use of eye gaze to select objects on a screen — be it a smartwatch screen, a large wall-mounted screen or selecting Internet of Things objects in our surroundings. The principle is to represent available objects by motion in the interface, have users identify a target by mimicking its specific motion, and use the correlation between the system’s output with the user’s input to determine the selection. The work is firmly based in a thorough understanding of human perception, explored in a range of different systems, arriving at a set of design principles and generalisable concepts.