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BlindType: Eyes-Free Text Entry on Handheld Touchpad by Leveraging Thumb's Muscle Memory

Published: 30 June 2017 Publication History

Abstract

Eyes-free input is desirable for ubiquitous computing, since interacting with mobile and wearable devices often competes for visual attention with other devices and tasks. In this paper, we explore eyes-free typing on a touchpad using one thumb, wherein a user taps on an imaginary QWERTY keyboard while receiving text feedback on a separate screen. Our hypothesis is that users can transfer their typing ability obtained from visible keyboards to eyes-free use. We propose two statistical decoding algorithms to infer users’ eyes-free input: the absolute algorithm and the relative algorithm. The absolute algorithm infers user input based on the absolute position of touch endpoints, while the relative algorithm infers based on the vectors between successive touch endpoints. Evaluation results showed users could achieve satisfying performance with both algorithms. Text entry rate was 17-23 WPM (words per minute) depending on the algorithm used. In comparison, a baseline cursor-based text entry method yielded only 7.66 WPM. In conclusion, our research demonstrates for the first time the feasibility of thumb-based eyes-free typing, which provides a new possibility for text entry on ubiquitous computing platforms such as smart TVs and HMDs.

Supplementary Material

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Supplemental movie, appendix, image and software files for, BlindType: Eyes-Free Text Entry on Handheld Touchpad by Leveraging Thumb's Muscle Memory

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Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 1, Issue 2
June 2017
665 pages
EISSN:2474-9567
DOI:10.1145/3120957
Issue’s Table of Contents
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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Association for Computing Machinery

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Publication History

Published: 30 June 2017
Accepted: 01 April 2017
Revised: 01 April 2017
Received: 01 February 2017
Published in IMWUT Volume 1, Issue 2

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Author Tags

  1. Eyes-free input
  2. HMDs
  3. smart TV interaction
  4. text entry

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  • Research-article
  • Research
  • Refereed

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  • Natural Science Foundation of China
  • National Key Research and Development Plan

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  • (2024)HCI Research and Innovation in China: A 10-Year PerspectiveInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2323858(1-33)Online publication date: 22-Mar-2024
  • (2023)From 2D to 3DProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35808297:1(1-25)Online publication date: 28-Mar-2023
  • (2023)PrinTypeProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35694916:4(1-31)Online publication date: 11-Jan-2023
  • (2023)ResType: Invisible and Adaptive Tablet Keyboard Leveraging Resting FingersProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581055(1-14)Online publication date: 19-Apr-2023
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  • (2023)The role of interface configuration on performance accuracy in eyes-free touchscreen interactionUniversal Access in the Information Society10.1007/s10209-023-01057-zOnline publication date: 31-Oct-2023
  • (2023)Embodied Interaction on Constrained Interfaces for Augmented RealitySpringer Handbook of Augmented Reality10.1007/978-3-030-67822-7_10(239-271)Online publication date: 1-Jan-2023
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