Facilitating Text Entry on Smartphones with QWERTY Keyboard for Users with Parkinson’s Disease Yuntao Wang Ao Yu Xin Yi∗ Department of Computer Science and Global Innovation Exchange (GIX), Department of Computer Science and Technology, Key Laboratory of Tsinghua University and University of Technology, Key Laboratory of Pervasive Computing, Ministry of Washington, 98005, WA, USA Pervasive Computing, Ministry of Education, Tsinghua University,
[email protected] Education, Tsinghua University, Beijing, China, 100084 Beijing, China, 100084
[email protected] [email protected] Yuanwei Zhang Ishan Chatterjee Shwetak Patel Global Innovation Exchange (GIX), Paul G. Allen School of Computer Paul G. Allen School of Computer Tsinghua University and University of Science and Engineering, University Science and Engineering, University Washington, 98005, WA, USA of Washington, 98195, Seattle, USA of Washington, 98195, Seattle, USA
[email protected] [email protected] [email protected] Yuanchun Shi Department of Computer Science and Technology, Key Laboratory of Pervasive Computing, Ministry of Education, Tsinghua University, Beijing, China, 100084
[email protected] ABSTRACT CCS CONCEPTS QWERTY is the primary smartphone text input keyboard confgu- • Human-centered computing ! Text input; Accessibility. ration. However, insertion and substitution errors caused by hand tremors, often experienced by users with Parkinson’s disease, can KEYWORDS severely afect typing efciency and user experience. In this paper, Parkinson’s disease, text entry, QWERTY keyboard, touch model, we investigated Parkinson’s users’ typing behavior on smartphones. statistical decoding In particular, we identifed and compared the typing characteristics generated by users with and without Parkinson’s symptoms. We ACM Reference Format: then proposed an elastic probabilistic model for input prediction.