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Typing on Split Keyboards with Peripheral Vision

Published: 02 May 2019 Publication History

Abstract

Split keyboards are widely used on hand-held touchscreen devices (e.g., tablets). However, typing on a split keyboard often requires eye movement and attention switching between two halves of the keyboard, which slows users down and increases fatigue. We explore peripheral typing, a superior typing mode in which a user focuses her visual attention on the output text and keeps the split keyboard in peripheral vision. Our investigation showed that peripheral typing reduced attention switching, enhanced user experience and increased overall performance (27 WPM, 28% faster) over the typical eyes-on typing mode. This typing mode can be well supported by accounting the typing behavior in statistical decoding. Based on our study results, we have designed GlanceType, a text entry system that supported both peripheral and eyes-on typing modes for real typing scenario. Our evaluation showed that peripheral typing not only well co-existed with the existing eyes-on typing, but also substantially improved the text entry performance. Overall, peripheral typing is a promising typing mode and supporting it would significantly improve the text entry performance on a split keyboard.

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cover image ACM Conferences
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems
May 2019
9077 pages
ISBN:9781450359702
DOI:10.1145/3290605
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 02 May 2019

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Author Tags

  1. gaze
  2. peripheral vision
  3. split keyboard

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  • Research-article

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  • Beijing Key Lab of Networked Multimedia
  • Natural Science Foundation of China
  • Tsinghua University Research Funding

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CHI '19 Paper Acceptance Rate 703 of 2,958 submissions, 24%;
Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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  • (2024)Accessible Gesture Typing on Smartphones for People with Low VisionProceedings of the 37th Annual ACM Symposium on User Interface Software and Technology10.1145/3654777.3676447(1-11)Online publication date: 13-Oct-2024
  • (2024)FanPad: A Fan Layout Touchpad Keyboard for Text Entry in VR2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00045(222-232)Online publication date: 16-Mar-2024
  • (2023)Light-Occlusion Text Entry in Mixed RealityInternational Journal of Human–Computer Interaction10.1080/10447318.2023.2285646(1-16)Online publication date: 28-Nov-2023
  • (2022)Eye-tracking Technologies in Mobile Devices Using Edge Computing: A Systematic ReviewACM Computing Surveys10.1145/354693855:8(1-33)Online publication date: 23-Dec-2022
  • (2021)Nosype: A Novel Nose-tip Tracking-based Text Entry System for Smartphone Users with Clinical Disabilities for Touch-based TypingProceedings of the 23rd International Conference on Mobile Human-Computer Interaction10.1145/3447526.3472054(1-16)Online publication date: 27-Sep-2021
  • (2020)How We Type: Eye and Finger Movement Strategies in Mobile TypingProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376711(1-14)Online publication date: 21-Apr-2020
  • (2020)PalmBoard: Leveraging Implicit Touch Pressure in Statistical Decoding for Indirect Text EntryProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376441(1-13)Online publication date: 21-Apr-2020

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