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

881
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...
881
Design Example01:23

Design Example

642
The innovation of touch-tone telephony revolutionized the telecommunications industry by replacing the traditional rotary dial with a dual-tone multi-frequency (DTMF) signaling system. This system uses a matrix-style keypad with buttons arranged in four rows and three columns, creating 12 distinct signals each assigned to a pair of frequencies. Each button press results in a simultaneous generation of two sinusoidal tones – one from a low-frequency group (697 to 941 Hz) and one from a...
642

You might also read

Related Articles

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

Sort by
Same author

Regulation of oligodendrocyte metabolism and myelination by acetyl-L-carnitine in a mouse model of post-weaning social isolation.

Translational psychiatry·2026
Same author

Anti-Inflammatory Properties of <i>Garrya flavescens</i>: Phytochemical Profiling and Mitigation of LPS-Induced Neuroinflammation via ERK Signaling and Mitochondrial Modulation.

Plants (Basel, Switzerland)·2026
Same author

A quantitative DOPA decarboxylase biomarker for diagnosis in Lewy body disorders.

Nature medicine·2026
Same author

Optical lattices with variable spacings generated by binary phase transmission gratings.

Optics express·2025
Same author

Towards Automatic Object Detection and Activity Recognition in Indoor Climbing.

Sensors (Basel, Switzerland)·2024
Same author

Scalable CIGS Solar Cells Employing a New Device Design of Nontoxic Buffer Layer and Microgrid Electrode.

ACS applied materials & interfaces·2024
Same journal

Not just when, but how: An exploratory dual-control approach to video feedback in motor learning.

Human movement science·2026
Same journal

Fall history does not affect predictive control of dynamic balance during unilateral load carriage in older adults.

Human movement science·2026
Same journal

Children aged 7 to 10 and adults learn graphomotor sequences in a similar way but show differences during transfer: A product and process analysis.

Human movement science·2026
Same journal

Dissociating variability from error-based processes in observational learning.

Human movement science·2026
Same journal

Associations between movement behaviors, sleep, and screen time exposure in middle childhood using multivariable modelling.

Human movement science·2026
Same journal

The interaction of biomechanical demands and the speed-accuracy trade-off for the control of multi-directional, three-dimensional targeted reaching movements.

Human movement science·2026
See all related articles

Related Experiment Video

Updated: Apr 3, 2026

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

3.8K

Fingerstroke time estimates for touchscreen-based mobile gaming interaction.

Ahreum Lee1, Kiburm Song1, Hokyoung Blake Ryu2

  • 1Department of Industrial Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04730, South Korea.

Human Movement Science
|September 25, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces a new Fingerstroke-Level Model (FLM) to predict touch input performance on smartphones. The FLM adapts the Keystroke-Level Model (KLM) for efficient mobile game design and user experience.

Keywords:
Finger movementFingerstroke-level model (FLM)Mobile gameRegression model

More Related Videos

Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging
10:10

Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging

Published on: January 30, 2026

502
Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

3.4K

Related Experiment Videos

Last Updated: Apr 3, 2026

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

3.8K
Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging
10:10

Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging

Published on: January 30, 2026

502
Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS
04:40

Tactile Semiautomatic Passive-Finger Angle Stimulator TSPAS

Published on: July 30, 2020

3.4K

Area of Science:

  • Human-Computer Interaction
  • Mobile Computing
  • Game Design

Background:

  • Increasing popularity of mobile gaming and faster networks highlights the need for optimized input performance.
  • Mirroring game services require effective control interfaces for both PC and mobile users.
  • Existing models may not accurately predict touch input performance on smartphones.

Purpose of the Study:

  • To empirically test the Keystroke-Level Model (KLM) for predicting touch input time on smartphones.
  • To propose a modified KLM, the Fingerstroke-Level Model (FLM), for mobile interfaces.
  • To enhance the design of efficient mobile gaming experiences.

Main Methods:

  • Empirical testing of the Keystroke-Level Model (KLM) on smartphone touch interfaces.
  • Development of a modified KLM, termed the Fingerstroke-Level Model (FLM).
  • Utilizing regression models for time estimates in the FLM.

Main Results:

  • The Keystroke-Level Model (KLM) was evaluated for predicting performance of tapping, pointing, dragging, and flicking on touchscreens.
  • A modified Fingerstroke-Level Model (FLM) was proposed based on empirical time estimates.
  • The FLM aims to provide accurate predictions for mobile touch input.

Conclusions:

  • A new Fingerstroke-Level Model (FLM) is proposed to predict touch input performance.
  • The FLM is essential for efficient mobile game design, especially for cross-platform services.
  • This model aids in understanding and optimizing user interaction with smartphone interfaces.