Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

262
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
262
Errors in Taping01:18

Errors in Taping

18
Errors in taping arise from multiple factors that can significantly impact measurement accuracy in surveying. Misalignment of the tape, often due to human error, is one primary source. A skilled rear tapeman, using a telescope, can help correct alignment by guiding the head tapeman; however, human limitations still lead to small inaccuracies. These errors may include misplacement of pins or inaccurate tape readings due to common visual confusions, such as mistaking a six for a nine. Such...
18

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: May 21, 2025

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
05:42

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

Published on: October 5, 2020

3.1K

TapFix: Cursorless Typographical Error Correction for Touch-Sensor Displays.

Nicholas Dehnen1, I Scott MacKenzie1, Aijun An1

  • 1Department of Electrical Engineering and Computer Science, York University, Toronto, ON M3J 1P3, Canada.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
Summary
This summary is machine-generated.

TapFix offers a cursorless mobile text correction method, significantly improving speed and reducing user frustration. This innovative approach enhances the efficiency of text editing on touch-sensor displays.

Keywords:
cursorlessmobile phonetext correctiontext entrytouchscreentyping error

More Related Videos

A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.6K
Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.4K

Related Experiment Videos

Last Updated: May 21, 2025

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones
05:42

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

Published on: October 5, 2020

3.1K
A Tactile Automated Passive-Finger Stimulator TAPS
19:44

A Tactile Automated Passive-Finger Stimulator TAPS

Published on: June 3, 2009

13.6K
Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment
05:58

Digital Handwriting Analysis of Characters in Chinese Patients with Mild Cognitive Impairment

Published on: March 11, 2021

4.4K

Area of Science:

  • Human-Computer Interaction
  • Mobile Computing
  • Usability Engineering

Background:

  • Traditional text correction on mobile devices often requires precise cursor manipulation, which can be cumbersome.
  • Existing methods may lead to user frustration and reduced efficiency during text editing tasks.

Purpose of the Study:

  • To introduce and evaluate TapFix, a novel cursorless text correction method for touch-sensor displays.
  • To compare the performance and usability of TapFix against traditional text correction techniques.

Main Methods:

  • A user study involving 15 participants was conducted on Apple iOS devices (iPhone 14 Pro).
  • Participants performed 100 text correction tasks using TapFix and two traditional methods, covering four error types.
  • Performance was measured by task completion time, and user experience was assessed using NASA TLX and SUS questionnaires.

Main Results:

  • TapFix demonstrated a significant speed improvement, being 43.0% to 44.1% faster than existing methods.
  • Participants reported 5.6% to 21.1% lower frustration levels with TapFix.
  • The usability of TapFix was found to be comparable to the established TextMagnifier method.

Conclusions:

  • TapFix provides a faster and less frustrating alternative for mobile text correction.
  • The cursorless, gesture-based approach offers a viable and effective solution for improving text editing on touchscreens.
  • Further research could explore TapFix's application across different mobile platforms and user demographics.