Related Experiment Video
Updated: Apr 25, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
Published on: February 14, 2014
Tablet-based assessment protocol for cognition: development and preliminary usability testing of a cognitive
Denise Mellace1, Roberto Prandin1, Carlo Manzoni1
1Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
TAP-COG, a tablet-based cognitive screening tool, demonstrates high usability for assessing multiple cognitive domains. This digital solution is easily self-administered, supporting its potential for scalable research and clinical applications.
Area of Science:
- Cognitive Science
- Digital Health
- Neuroscience
Background:
- Computerized cognitive screening offers advantages over traditional methods.
- Touchscreen tools provide accessible digital interfaces.
- There is a need for brief, home-deliverable cognitive screening tools.
Purpose of the Study:
- To present the development of TAP-COG, a tablet-based cognitive screening tool.
- To conduct a preliminary usability evaluation of TAP-COG.
- To assess multiple cognitive domains including processing speed, attention, and memory.
Main Methods:
- Developed TAP-COG, a tablet-based tool with five self-administered tasks.
- Optimized tasks for tablet interaction, recording reaction time, accuracy, and errors.
- Conducted a usability study with 80 healthy adults using the System Usability Scale.
Main Results:
- All participants completed the TAP-COG battery independently.
- Participants reported clear instructions and ease of use.
- 80% rated usability as "good" to "excellent," unaffected by age, education, or cognitive status.
Conclusions:
- TAP-COG demonstrates high usability as a scalable, self-administered cognitive screening tool.
- Findings support further validation in diverse populations.
- TAP-COG shows promise for research and clinical applications.
More Related Videos
10:10Evaluating Tests of Cognition using a Computerized Touch-Sensitive Tablet, Eye Tracking, and Functional Magnetic Resonance Imaging
Published on: January 30, 2026
12:18A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020