EconPapers    
Economics at your fingertips  
 

Predicting adherence to gamified cognitive training using early phase game performance data: Towards a just-in-time adherence promotion strategy

Yuanying Pang, Ankita Singh, Shayok Chakraborty, Neil Charness, Walter R Boot and Zhe He

PLOS ONE, 2024, vol. 19, issue 10, 1-17

Abstract: Background and objectives: This study aims to develop a machine learning-based approach to predict adherence to gamified cognitive training using a variety of baseline measures (demographic, attitudinal, and cognitive abilities) as well as game performance data. We aimed to: (1) identify the cognitive games with the strongest adherence prediction and their key performance indicators; (2) compare baseline characteristics and game performance indicators for adherence prediction, and (3) test ensemble models that use baseline characteristics and game performance data to predict adherence over ten weeks. Research design and method: Using machine learning algorithms including logistic regression, ridge regression, support vector machines, classification trees, and random forests, we predicted adherence from weeks 3 to 12. Predictors included game performance metrics in the first two weeks and baseline measures. These models’ robustness and generalizability were tested through five-fold cross-validation. Results: The findings indicated that game performance measures were superior to baseline characteristics in predicting adherence. Notably, the games “Supply Run,” “Ante Up,” and “Sentry Duty” emerged as significant adherence predictors. Key performance indicators included the highest level achieved, total game sessions played, and overall gameplay proportion. A notable finding was the negative correlation between initial high achievement levels and sustained adherence, suggesting that maintaining a balanced difficulty level is crucial for long-term engagement. Conversely, a positive correlation between the number of sessions played and adherence highlighted the importance of early active involvement. Discussion and implications: The insights from this research inform just-in-time strategies to promote adherence to cognitive training programs, catering to the needs and abilities of the aging population. It also underscores the potential of tailored, gamified interventions to foster long-term adherence to cognitive training.

Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0311279 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 11279&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0311279

DOI: 10.1371/journal.pone.0311279

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().

 
Page updated 2025-05-02
Handle: RePEc:plo:pone00:0311279