Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

You might also read

Related Articles

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

Sort by

Same author

A Human-Centered Multimodal Framework for Characterizing Safety-Relevant Driver Functional Domains: An Exploratory Study of Professional Bus Drivers.

Sensors (Basel, Switzerland)·2026

Same author

Designing Sustainable workplaces: the strategic role of ergonomics and employee well-being.

Ergonomics·2026

Same author

Applying multiscale entropy for evaluating website visual complexity in an agile project: Using physiological data.

Applied ergonomics·2025

Same author

Learning performance and physiological feedback-based evaluation for human-robot collaboration.

Applied ergonomics·2024

Same author

Building a Low-Cost Wireless Biofeedback Solution: Applying Design Science Research Methodology.

Sensors (Basel, Switzerland)·2023

Same author

Time Pressure Affects the Risk Preference and Outcome Evaluation.

International journal of environmental research and public health·2023

Search research articles

Related Experiment Video

Updated: Dec 12, 2025

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

The development of a mobile user interface ability evaluation system for the elderly.

Chiuhsiang Joe Lin¹, Sui-Hua Ho¹

¹Department of Industrial Management, National Taiwan University of Science & Technology (Taiwan Tech), Taipei, Taiwan.

Applied Ergonomics

|August 14, 2020

Summary

Age significantly impacts older adults' mobile usability. Prior computer experience also aids mobile interface use, informing technology design for seniors.

Keywords:

Aging Evaluation Human computer interaction User interface

More Related Videos

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

Published on: October 5, 2020

Related Experiment Videos

Last Updated: Dec 12, 2025

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

An Assessment Method and Toolkit to Evaluate Keyboard Design on Smartphones

Published on: October 5, 2020

Area of Science:

Human-Computer Interaction
Gerontology
Usability Engineering

Background:

The growing elderly population necessitates accessible technology.
Current mobile interfaces often present challenges for older adults.
Understanding elderly mobile user interface ability (EMUIA) is crucial for inclusive design.

Purpose of the Study:

To develop and evaluate the Elderly Mobile User Interface Ability Evaluation System (EMUIAES).
To investigate the influence of age and prior technology experience on elderly mobile usage.
To examine the applicability of Fitts' Law to elderly mobile interaction.

Main Methods:

Evaluation of 135 older adults using the EMUIAES.
Analysis of factors influencing mobile interface usage, including age and computer/tablet experience.
Application of Fitts' Law to assess performance in tasks like tapping and pointing.

Main Results:

Age demonstrated a significant effect on mobile user interface abilities among the elderly.
Previous experience with personal computers and tablets positively correlated with mobile interface usage.
Fitts' Law effectively described elderly mobile user interface behaviors, especially in speed-dependent tasks.

Conclusions:

The EMUIAES provides a valuable tool for assessing and understanding elderly mobile interaction.
Findings highlight the need for age-tailored mobile interface designs.
Individualized design approaches can enhance technology adoption and user experience for older adults.