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Pseudo-pressure detection and its use in predictive text entry on touchscreens

Published: 25 November 2013 Publication History

Abstract

In this article we first present a new hybrid technique that combines existing time- and touch-point-based approaches to simulate pressure detection on standard touchscreens. Results of two user studies show that the new hybrid technique can distinguish (at least) two pressure levels, where the first requires on average 1.04 N and the second 3.24 N force on the surface. Then, we present a novel pressure-based predictive text entry technique that utilizes our hybrid pressure detection to enable users to bypass incorrect predictions by applying extra pressure on the next key. For inputting short English phrases with 10% non-dictionary words a comparison with conventional text entry in a study showed that the new technique increases entry speed by 9% and decreases error rates by 25%. Also, most users (83%) favour the new technique.

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      cover image ACM Other conferences
      OzCHI '13: Proceedings of the 25th Australian Computer-Human Interaction Conference: Augmentation, Application, Innovation, Collaboration
      November 2013
      549 pages
      ISBN:9781450325257
      DOI:10.1145/2541016
      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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      Published: 25 November 2013

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      Author Tags

      1. mobile phone
      2. mobile text entry
      3. predictive text
      4. pressure
      5. touchscreen
      6. virtual or soft keyboard

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      OzCHI '13 Paper Acceptance Rate 34 of 70 submissions, 49%;
      Overall Acceptance Rate 362 of 729 submissions, 50%

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      • (2023)Investigating a Force-Based Selection Method for Smartwatches in a 1D Fitts’ Law Study and Two New Character-Level KeyboardsProceedings of the Seventeenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3569009.3572741(1-10)Online publication date: 26-Feb-2023
      • (2023)An exploration of pressure input with bare finger for Mobile interaction in stationary and Mobile situationsMultimedia Tools and Applications10.1007/s11042-023-14503-082:17(25711-25731)Online publication date: 14-Feb-2023
      • (2021)Stepper, Swipe, Tilt, ForceProceedings of the ACM on Human-Computer Interaction10.1145/34885455:ISS(1-21)Online publication date: 5-Nov-2021
      • (2021)Text Entry in Virtual Environments using Speech and a Midair KeyboardIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.306777627:5(2648-2658)Online publication date: May-2021
      • (2021)Deep Touch: Sensing Press Gestures from Touch Image SequencesArtificial Intelligence for Human Computer Interaction: A Modern Approach10.1007/978-3-030-82681-9_6(169-192)Online publication date: 5-Nov-2021
      • (2021)AI-Driven Intelligent Text Correction Techniques for Mobile Text EntryArtificial Intelligence for Human Computer Interaction: A Modern Approach10.1007/978-3-030-82681-9_5(131-168)Online publication date: 5-Nov-2021
      • (2020)Swap: A Replacement-based Text Revision Technique for Mobile DevicesProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376217(1-12)Online publication date: 21-Apr-2020
      • (2020)Enabling Text Translation Using the Suggestion Bar of a Virtual Keyboard2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)10.1109/SMC42975.2020.9282879(4352-4357)Online publication date: 11-Oct-2020
      • (2019)BaroTouch: A Technique for Touch Force Sensing Using a Waterproof Device's Built-in BarometerJournal of Information Processing10.2197/ipsjjip.27.10627(106-115)Online publication date: 2019
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