A new remote guided method for supervised web-based cognitive testing to ensure high-quality data: development and usability study

A new remote guided method for supervised web-based cognitive testing to ensure high-quality data: development and usability study

The global COVID-19 pandemic has triggered a fundamental reexamination of how human psychological research can be conducted safely and robustly in a new era of digital working and physical distancing. Online web-based testing has risen to the forefront as a promising solution for the rapid mass coll...

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Bibliographic Details
Main Authors: Leong, Victoria, Raheel, Kausar, Sim, Jia Yi, Kacker, Kriti, Karlaftis, Vasilis M., Vassiliu, Chrysoula, Kalaivanan, Kastoori, Chen, Annabel Shen-Hsing, Robbins, Trevor W., Sahakian, Barbara J., Kourtzi, Zoe
Other Authors: School of Social Sciences
Format: Article
Language:English
Published: 2022
Subjects:
Social sciences::General
Web-Based Testing
Neurocognitive Assessment
Online Access:https://hdl.handle.net/10356/160157
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Institution: Nanyang Technological University
Language: English
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Summary:The global COVID-19 pandemic has triggered a fundamental reexamination of how human psychological research can be conducted safely and robustly in a new era of digital working and physical distancing. Online web-based testing has risen to the forefront as a promising solution for the rapid mass collection of cognitive data without requiring human contact. However, a long-standing debate exists over the data quality and validity of web-based studies. This study examines the opportunities and challenges afforded by the societal shift toward web-based testing and highlights an urgent need to establish a standard data quality assurance framework for online studies.

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