Accessible Gesture Typing on Smartphones for People with Low Vision
Dan Zhang, Zhi Li, Vikas Ashok, William H. Seiple, I. V. Ramakrishnan, Xiaojun Bi
Abstract
While gesture typing is widely adopted on touchscreen keyboards, its support for low vision users is limited. We have designed and implemented two keyboard prototypes, layout-magnified and key-magnified keyboards, to enable gesture typing for people with low vision. Both keyboards facilitate uninterrupted access to all keys while the screen magnifier is active, allowing people with low vision to input text with one continuous stroke. Furthermore, we have created a kinematics-based decoding algorithm to accommodate the typing behavior of people with low vision. This algorithm can decode the gesture input even if the gesture trace deviates from a pre-defined word template, and the starting position of the gesture is far from the starting letter of the target word. Our user study showed that the key-magnified keyboard achieved 5.28 words per minute, 27.5% faster than a conventional gesture typing keyboard with voice feedback.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get 777c0635-e54e-4bd6-a39e-be4bdcc6de54Cited by top-tier papers1
Ask how each one uses itRelated papers
- LLM Powered Text Entry Decoding and Flexible Typing on SmartphonesYan Ma, Dan Zhang, I. V. Ramakrishnan, Xiaojun BiCHI 2025 · 1 citation
- Typing Haptically: Towards Enabling Non-auditory Smartphone Text Entry with Haptic Feedback for Blind and Low Vision UsersJisu Yim, Donghyeon Ko, Taeho Kim, Taejun Kim et al.UIST 2025 · 1 citation
- Tilt-Explore: Making Tilt Gestures Usable for Low-Vision Smartphone UsersFarhani Momotaz, Syed Masum BillahUIST 2021 · 7 citations
- Decoding Surface Touch Typing from Hand-TrackingMark Richardson, Matt Durasoff, Robert WangUIST 2020 · 40 citations
- SwEYEpinch and Beyond: Exploring Intuitive, Efficient Text Entry for Extended Reality via Eye and Hand TrackingZiheng 'Leo' Li, Xichen He, Mengyuan Wu, Zeyi Tong et al.CHI 2026 · 1 citation
