STAR: Smartphone-analogous Typing in Augmented Reality
Taejun Kim, Amy Karlson, Aakar Gupta, Tovi Grossman, Jason Wu, Parastoo Abtahi, Christopher Collins, Michael Glueck, Hemant Bhaskar Surale
TL;DR
STAR addresses the challenge of efficient AR text entry by transferring smartphone two-thumb typing to a bare-hand AR setting. It introduces a knuckle-triggered, on-skin QWERTY keyboard, implemented with index-finger surface typing, stationary keyboard placement, capacitive thumb taps, and visual depth cues, plus a probabilistic word-suggestion decoder. In a controlled study with ten participants, STAR achieved a mean speed of $21.9$ WPM (about $56\%$ of smartphone speed) and a mean uncorrected error rate of $0.2\%$, highlighting the key role of improved hand tracking and sensing in narrowing the gap to smartphone typing. The work lays out a practical design space and future directions for real-world deployment, including richer sensing (rings, wearables) and expanded modes (one-handed STAR), to enable robust, socially acceptable AR text entry.
Abstract
While text entry is an essential and frequent task in Augmented Reality (AR) applications, devising an efficient and easy-to-use text entry method for AR remains an open challenge. This research presents STAR, a smartphone-analogous AR text entry technique that leverages a user's familiarity with smartphone two-thumb typing. With STAR, a user performs thumb typing on a virtual QWERTY keyboard that is overlain on the skin of their hands. During an evaluation study of STAR, participants achieved a mean typing speed of 21.9 WPM (i.e., 56% of their smartphone typing speed), and a mean error rate of 0.3% after 30 minutes of practice. We further analyze the major factors implicated in the performance gap between STAR and smartphone typing, and discuss ways this gap could be narrowed.
