期刊
IEEE ACCESS
卷 9, 期 -, 页码 75187-75201出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/ACCESS.2021.3081173
关键词
Visualization; Decoding; Keyboards; Error analysis; Touch sensitive screens; Space exploration; Solid modeling; Consumer electronics; human computer interaction; natural language processing; system analysis and design
资金
- National Research Foundation of Korea (NRF) - Korea Government [Ministry of Science and ICT (MSIT)] [NRF-2019R1A2C2089062]
The study team proposed a soft keyboard design for smartwatches, incorporating efficient visual feedback and autocorrection technology, and validated its effectiveness in improving user input accuracy and speed through experiments and simulations.
Typing on a smartwatch is challenging because of the fat-finger problem. Rising to the challenge, we present a soft keyboard for ultrasmall touch screen devices with efficient visual feedback integrated with autocorrection and prediction techniques. After exploring the design space to support efficient typing on smartwatches, we designed a novel and space-saving text entry interface based on an in situ decoder and prediction function that can run in real-time on a smartwatch such as LG Watch Style. We outlined the details implemented through performance optimization techniques and released interface code, APIs, and libraries as open source. We examined the design decisions with the simulations and studied the visual feedback methods in terms of performance and user preferences. The experiment showed that users could type more accurately and quickly on the target device with our best-performing visual feedback design and implementation. The simulation result showed that the single word suggestion could yield a sufficiently high hit ratio using the optimized word suggestion algorithm.
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