LightWrite: Teach Handwriting to The Visually Impaired with A Smartphone
Zihan Wu, Chun Yu, Xuhai Xu, Tong Wei, Tianyuan Zou, Ruolin Wang, Yuanchun Shi
Abstract
Learning to write is challenging for blind and low vision (BLV) people because of the lack of visual feedback. Regardless of the drastic advancement of digital technology, handwriting is still an essential part of daily life. Although tools designed for teaching BLV to write exist, many are expensive and require the help of sighted teachers. We propose LightWrite, a low-cost, easy-to-access smartphone application that uses voice-based descriptive instruction and feedback to teach BLV users to write English lowercase letters and Arabian digits in a specifically designed font. A two-stage study with 15 BLV users with little prior writing knowledge shows that LightWrite can successfully teach users to learn handwriting characters in an average of 1.09 minutes for each letter. After initial training and 20-minute daily practice for 5 days, participants were able to write an average of 19.9 out of 26 letters that are recognizable by sighted raters.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext ecbf2e32-6d22-4383-866a-16e7596fd9cfBuilds on1
Related papers
- 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
- Understanding the Feasibility of Auditory Hand-Steering Guidance for Blind and Low-Vision PeopleYuki Abe, Rose Xin Lin, Kotaro Hara, Daisuke SakamotoCHI 2026 · 1 citation
- Learning to Recognize Handwriting Input with Acoustic FeaturesHuanpu Yin, Anfu Zhou, Guangyuan Su, Bo Chen et al.UbiComp 2020 · 37 citations
- Enabling Auto-Correction on Soft Braille KeyboardDan Zhang, Yan Ma, Glenn Dausch, William H. Seiple et al.UIST 2025 · 1 citation
- Accessible Gesture Typing on Smartphones for People with Low VisionDan Zhang, Zhi Li, Vikas Ashok, William H. Seiple et al.UIST 2024 · 4 citations
