AnkleType: A Hands- and Eyes-free Foot-based Text Entry Technique in Virtual Reality

Fuente: arXiv
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Main Authors: Luo, Xiyun, Luo, Weirong, Zhu, Kening, Chen, Taizhou
Format: Preprint
Published: 2026
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author Luo, Xiyun
Luo, Weirong
Zhu, Kening
Chen, Taizhou
author_facet Luo, Xiyun
Luo, Weirong
Zhu, Kening
Chen, Taizhou
contents Virtual Reality (VR) emphasizes immersive experiences, while text entry often requires hands or visual attention, which may disrupt the interaction flows in VR. We present AnkleType, a hand- and eye-free text-entry technique that leverages ankle-based gestures for both standing and sitting situations. We began with two preliminary studies: one investigated the movement range of users' ankles, and the other elicited user-preferred ankle gestures for text-entry-related operations. The findings of these two studies guided our design of AnkleType. To optimize AnkleType's keyboard layout for eye-free input, we conducted a user study to capture the users' natural ankle spatial awareness with a computer-simulated language test. Through a pairwise comparison study, we designed a bipedal input strategy for sitting (BPSit) and a unipedal input strategy for standing (UPStand). Our first in-VR text-entry evaluation with 16 participants demonstrated that our methods could support the average typing speed from 8.99 WPM (BPSit) to 9.13 WPM (UPStand) for our first-time users. We further evaluated our design with a 7-day longitudinal study with twelve participants. Participants achieved an average typing speed of 15.05 WPM with UPStand and 16.70 WPM with BPSit in the visual condition, and 11.15 WPM and 12.87 WPM, respectively in the eyes-free condition.
format Preprint
id arxiv_https___arxiv_org_abs_2603_21915
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle AnkleType: A Hands- and Eyes-free Foot-based Text Entry Technique in Virtual Reality
Luo, Xiyun
Luo, Weirong
Zhu, Kening
Chen, Taizhou
Human-Computer Interaction
Virtual Reality (VR) emphasizes immersive experiences, while text entry often requires hands or visual attention, which may disrupt the interaction flows in VR. We present AnkleType, a hand- and eye-free text-entry technique that leverages ankle-based gestures for both standing and sitting situations. We began with two preliminary studies: one investigated the movement range of users' ankles, and the other elicited user-preferred ankle gestures for text-entry-related operations. The findings of these two studies guided our design of AnkleType. To optimize AnkleType's keyboard layout for eye-free input, we conducted a user study to capture the users' natural ankle spatial awareness with a computer-simulated language test. Through a pairwise comparison study, we designed a bipedal input strategy for sitting (BPSit) and a unipedal input strategy for standing (UPStand). Our first in-VR text-entry evaluation with 16 participants demonstrated that our methods could support the average typing speed from 8.99 WPM (BPSit) to 9.13 WPM (UPStand) for our first-time users. We further evaluated our design with a 7-day longitudinal study with twelve participants. Participants achieved an average typing speed of 15.05 WPM with UPStand and 16.70 WPM with BPSit in the visual condition, and 11.15 WPM and 12.87 WPM, respectively in the eyes-free condition.
title AnkleType: A Hands- and Eyes-free Foot-based Text Entry Technique in Virtual Reality
topic Human-Computer Interaction
url https://arxiv.org/abs/2603.21915