Best Paper Award for the 11th International Conference on Universal Access in Human-Computer Interaction, in the context of HCI International 2017, 9 - 14 July 2017, Vancouver, Canada

Certificate for Best Paper Award of the 11th International Conference on Universal Access in Human-Computer Interaction
conferred to

Justin Cuaresma and I. Scott MacKenzie
(York University, Canada)

for the paper entitled

"FittsFace: Exploring Navigation and Selection Methods for Facial Tracking"

Presented in the context of
HCI International 2017
9 - 14 July 2017, Vancouver, Canada

Paper Abstract
"An experimental application called FittsFace was designed according to ISO 9241-9 to compare and evaluate facial tracking and camera-based input on mobile devices for accessible computing. A user study with 12 participants employed a Google Nexus 7 tablet to test two facial navigation methods (positional, rotational) and three selection methods (dwell, smile, blink). Positional navigation was superior, with a mean throughput of 0.58 bits/second (bps), roughly 1.5× the value observed for rotational navigation. Blink selection was the least accurate selection method, with a 28.7% error rate. The optimal combination was positional+smile, with a mean throughput of 0.60 bps and the lowest tracking drop rate."

The full paper is available through SpringerLink, provided that you have proper access rights.