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TiltWriter: design and evaluation of a no-touch tilt-based text entry method for handheld devices

Published: 26 November 2019 Publication History

Abstract

Touch is the predominant method of text entry on mobile devices. However, these devices also facilitate tilt-based input using accelerometers and gyroscopes. This paper presents the design and evaluation of TiltWriter, a non-touch, tilt-based text entry technique. TiltWriter aims to supplement conventional techniques when precise touch is not convenient or possible (e.g., the user lacks sufficient motor skills). Two keyboard layouts were designed and evaluated: Qwerty, and "Custom", a layout inspired by the telephone keypad. Novice participants in a longitudinal study achieved speeds of 12.1 wpm for Qwerty, 10.7 wpm for Custom. Error rate averaged 0.76% for Qwerty, 0.62% for Custom. A post-study extended session yielded 15.2 wpm with Custom, versus 11.5 wpm with Qwerty. Results and participant feedback suggest that a selection dwell time between 700 - 800 ms benefits accuracy.

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  • (2023)Does Repeatedly Typing the Same Phrase Provide a Good Estimate of Expert Text Entry Performance?Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585647(1-8)Online publication date: 19-Apr-2023
  • (2023)Crownboard: A One-Finger Crown-Based Smartwatch Keyboard for Users with Limited DexterityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580770(1-22)Online publication date: 19-Apr-2023
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cover image ACM Other conferences
MUM '19: Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia
November 2019
462 pages
ISBN:9781450376242
DOI:10.1145/3365610
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 the author(s) 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

New York, NY, United States

Publication History

Published: 26 November 2019

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Author Tags

  1. handheld devices
  2. mobile device
  3. text input
  4. tilt-input

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MUM 2019

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Overall Acceptance Rate 190 of 465 submissions, 41%

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Cited By

View all
  • (2024)The Guided Evaluation MethodInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103317190:COnline publication date: 1-Oct-2024
  • (2023)Does Repeatedly Typing the Same Phrase Provide a Good Estimate of Expert Text Entry Performance?Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585647(1-8)Online publication date: 19-Apr-2023
  • (2023)Crownboard: A One-Finger Crown-Based Smartwatch Keyboard for Users with Limited DexterityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580770(1-22)Online publication date: 19-Apr-2023
  • (2022)TiltWalker: Operating a Telepresence Robot with One-Hand by Tilt Controls on a SmartphoneProceedings of the ACM on Human-Computer Interaction10.1145/35677256:ISS(381-406)Online publication date: 14-Nov-2022
  • (2022)TapGazer: Text Entry with Finger Tapping and Gaze-directed Word SelectionProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3501838(1-16)Online publication date: 29-Apr-2022
  • (2022)LuxBoard: Ambient Light Manipulation for Contactless Text Entry on Mobile DevicesHuman-Computer Interaction. Technological Innovation10.1007/978-3-031-05409-9_10(126-139)Online publication date: 16-Jun-2022
  • (2021)Stepper, Swipe, Tilt, ForceProceedings of the ACM on Human-Computer Interaction10.1145/34885455:ISS(1-21)Online publication date: 5-Nov-2021
  • (2020)Arc-Type and Tilt-Type: Pen-based Immersive Text Input for Room-Scale VRProceedings of the 2020 ACM Symposium on Spatial User Interaction10.1145/3385959.3418454(1-10)Online publication date: 31-Oct-2020
  • (2020)TapStr: A Tap and Stroke Reduced-Qwerty for SmartphonesCompanion Proceedings of the 2020 Conference on Interactive Surfaces and Spaces10.1145/3380867.3426208(47-50)Online publication date: 8-Nov-2020
  • (2020)Exploring tilting methods for typing under waterMultimedia Tools and Applications10.1007/s11042-020-09305-7Online publication date: 17-Aug-2020

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