Predicting life engagement and happiness from gaming motives and primary emotional traits before and during the COVID pandemic: a machine learning approach
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Date
2024-06-24
Authors
Dagum, Nolan
Pontes, Halley M.
Montag, Christian
Journal Title
Journal ISSN
Volume Title
Publication Type
Wissenschaftlicher Artikel
Published in
Discover Psychology, 2024
Abstract
Abstract
The present study investigated whether life engagement and happiness can be predicted from gaming motives and primary emotional traits. Two machine learning algorithms (random forest model and one-dimensional convolutional neural network) were applied using a dataset from before the COVID-19 pandemic as the training dataset. The algorithms derived were then applied to test if they would be useful in predicting life engagement and happiness from gaming motives and primary emotional systems on a dataset collected during the pandemic. The best prediction values were observed for happiness with ρ = 0.758 with explained variance of R 2 = 0.575 when applying the best performing algorithm derived from the pre-COVID dataset to the COVID dataset. Hence, this shows that the derived algorithm based on the pre-pandemic data set, successfully predicted happiness (and life engagement) from the same set of variables during the pandemic. Overall, this study shows the feasibility of applying machine learning algorithms to predict life engagement and happiness from gaming motives and primary emotional systems. © In Copyright http://rightsstatements.org/vocab/InC/1.0/
Description
Faculties
Fakultät für Ingenieurwissenschaften, Informatik und Psychologie
Institutions
Institut für Psychologie und Pädagogik
Citation
DFG Project uulm
EU Project THU
Other projects THU
License
CC BY 4.0 International
Is version of
Has version
Supplement to
Has erratum
Erratum to
Has Part
Part of
DOI external
DOI external
10.1007/s44202-024-00191-w
Institutions
Periodical
Degree Program
DFG Project THU
item.page.thu.projectEU
item.page.thu.projectOther
Series
Keywords
Gaming motives, Primary emotional systems, Happiness, Life engagement, Machine learning, Personality, DDC 150 / Psychology