ABSTRACT
SmoothMoves is an interaction technique for augmented reality (AR) based on smooth pursuits head movements. It works by computing correlations between the movements of on-screen targets and the user’s head while tracking those targets. The paper presents three studies. The first suggests that head based input can act as an easier and more affordable surrogate for eye-based input in many smooth pursuits interface designs. A follow-up study grounds the technique in the domain of augmented reality, and captures the error rates and acquisition times on different types of AR devices: head-mounted (2.6%, 1965ms) and hand-held (4.9%, 2089ms). Finally, the paper presents an interactive lighting system prototype that demonstrates the benefits of using smooth pursuits head movements in interaction with AR interfaces. A final qualitative study reports on positive feedback regarding the technique’s suitability for this scenario. Together, these results show SmoothMoves is viable, efficient and immediately available for a wide range of wearable devices that feature embedded motion sensing.
Read more: Augusto Esteves, David Verweij, Liza Suraiya, Rasel Islam, Youryang Lee, Ian Oakley (2017) "SmoothMoves: Smooth Pursuits Head Movements for Augmented Reality." In Proceedings of ACM UIST'17, Quebec City, Canada. [download article]
See more: Watch the project video on youtube or the UIST'17 presentation