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  5. Attrition from Web-Based Cognitive Testing: A Repeated Measures Comparison of Gamification Techniques
 
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Attrition from Web-Based Cognitive Testing: A Repeated Measures Comparison of Gamification Techniques

Author(s)
Lumsden, Jim  
Skinner, Andy  
Coyle, David  
et al.  
Uri
http://hdl.handle.net/10197/9115
Date Issued
2017-11-22
Date Available
2017-12-14T17:18:49Z
Abstract
The prospect of assessing cognition longitudinally and remotely is attractive to researchers, health practitioners, and pharmaceutical companies alike. However, such repeated testing regimes place a considerable burden on participants, and with cognitive tasks typically being regarded as effortful and unengaging, these studies may experience high levels of participant attrition. One potential solution is to gamify these tasks to make them more engaging: increasing participant willingness to take part and reducing attrition. However, such an approach must balance task validity with the introduction of entertaining gamelike elements.
Sponsorship
Science Foundation Ireland
Other Sponsorship
British Heart Foundation
Cancer Research UK
Economic and Social Research Council
Medical Research Council
National Institute for Health Research
Type of Material
Journal Article
Publisher
JMIR
Journal
Journal of Medical Internet Research
Volume
19
Issue
11
Copyright (Published Version)
2017 the Authors
Subjects

Machine learning

Statistics

Behavioral research

Behavioral research m...

Experimental games

Computers

Cognition

Internet

Play and playthings

Psychology

Boredom

Dask performance and ...

Executive function

Inhibition (psycholog...

DOI
10.2196/jmir.8473
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Thumbnail Image
Name

insight_publication.pdf

Size

2.87 MB

Format

Adobe PDF

Checksum (MD5)

786bebe737bcb76e393c32df78337797

Owning collection
Insight Research Collection
Mapped collections
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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