Quantifying Touch: New Metrics for Characterizing What Happens During a Touch

Abstract

People with Locked-in syndrome (LIS) suffer from complete loss of voluntary motor functions for speech or hand-writing. They are mentally intact, retaining only the control of vertical eye movements and blinking. In this work, we present a one-dimensional typing interface controlled exclusively by vertical eye movements and dwell-time for them to communicate at will. Hidden Markov Model and Bigram Models are used as auto-completion on both word and sentence level. We conducted two preliminary user studies on non-disabled users. The typing interface achieved 3.75 WPM without prediction and 11.36 WPM with prediction.

Publication
In UIST ‘22 Adjunct: Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology
Mingyuan Zhong
Mingyuan Zhong
PhD Student
Computer Science & Engineering

Currectly, I conduct research in accessibility, user interface, interaction techniques, and the intersection of these areas.