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Related Experiment Video

Updated: Aug 16, 2025

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study

Published on: November 30, 2022

Usability Evaluation of Augmented Reality: A Neuro-Information-Systems Study.

Jun Wu¹, Di Zhang¹, Tao Liu²

¹Economics and Management School, Jiangsu University of Science and Technology.

Journal of Visualized Experiments : Jove

|December 19, 2022

Summary

Augmented Reality (AR) enhances consumer decision-making by improving information search efficiency and reducing cognitive load compared to websites. This study

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Area of Science:

Human-Computer Interaction
Neuroscience
Information Systems

Background:

Usability testing of emerging technologies requires robust experimental paradigms.
Traditional usability tests often lack ecological validity for real-world scenarios.
Neuroscience methods offer objective measures of user experience.

Purpose of the Study:

To introduce and validate an experimental paradigm for usability testing of emerging technologies.
To compare the usability and cognitive load of Augmented Reality (AR) versus website-based information search.
To evaluate the impact of AR on consumer decision-making and purchase intention.

Main Methods:

Employed a mixed-methods approach combining subjective (questionnaires, NASA-TLX) and objective (Neuro-Information-Systems - NeuroIS) evaluations.
Utilized mobile functional Near-Infrared Spectroscopy (fNIRS) and eye-tracking glasses for multimodal measurements.
Used Augmented Reality (AR) integrated with the Internet of Things (IoT) as the experimental technology.

Main Results:

Information search using AR demonstrated higher efficiency and lower cognitive load compared to website search.
Neuroimaging and physiological data indicated distinct user responses between AR and website modes.
Subjective usability data (questionnaire, NASA-TLX) corroborated objective findings.

Conclusions:

AR integration in retail significantly enhances consumer experience and purchase intention.
The proposed experimental paradigm effectively assesses the usability of emerging technologies like AR.
This approach offers a practical solution for user experience research in human-computer interaction with novel technologies.