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Record W4417503610 · doi:10.2196/84219

Super Mario Bros. and Yoshi Games’ Affordance of Childlike Wonder and Reduced Burnout Risk in Young Adults: In-Depth Mixed Methods Cross-Sectional Study

2025· article· en· W4417503610 on OpenAlexvenueno aff
Weng-Kin Tam, Congcong Hou, Andreas B. Eisingerich

Bibliographic record

VenueJMIR Serious Games · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsnot available
Fundersnot available
KeywordsWonderEscapismAffordancePerspective (graphical)MainstreamBurnout

Abstract

fetched live from OpenAlex

BACKGROUND: Unrelenting pressure and an "always-on" culture can leave no time for genuine rest among young adults. While playing video games has been noted to afford cognitive escapism and relaxation, critical questions remain about the influence of popular video games, such as Super Mario Bros., and their potential effects on young adults' burnout risk. OBJECTIVE: This study examined the extent to which, if at all, popular video games such as Super Mario Bros. and Yoshi could foster childlike wonder. It also investigated the potential of these games to reduce burnout risk among young adults. METHODS: We used a mixed methods approach. First, qualitative data were collected through 41 exploratory, in-depth interviews (women: n=19, 46.3%; men: n=21, 51.2%; prefer not to disclose sex: n=1, 2.4%; mean age 22.51, SD 1.52 years) with university students who had experience playing Super Mario Bros. or Yoshi. Second, quantitative data were collected in a cross-sectional survey (N=336) of players of Super Mario Bros. and Yoshi to examine the games' affordance of childlike wonder, overall happiness in life, and burnout risk. RESULTS: Insights from in-depth interviews showed that players appreciated the ability of Super Mario Bros. and Yoshi games to instill childlike wonder, enhance happiness in life, and reduce burnout risk. Quantitative analyses showed that the games' affordance of childlike wonder positively affected young adults' happiness (b=0.30, SE=0.04, t=6.80, 95% CI 0.21-0.38; P<.001). In turn, overall happiness significantly reduced the risk of burnout (b=-0.48, SE=0.05, t=-9.55, 95% CI -0.572 to -0.377). Results showed that happiness fully mediated the impact of childlike wonder on burnout, as the direct effect of childlike wonder on burnout risk became insignificant (b=-0.08, SE=0.04, t=-1.88, 95% CI -0.16 to 0.01; P=.06), while the indirect effect of childlike wonder on burnout risk was significant (b=-0.14, bootstrapped SE=0.03, 95% CI -0.20 to -0.09). CONCLUSIONS: The findings showed the significant positive effect of popular video games such as Super Mario Bros. and Yoshi on fostering players' childlike wonder, increasing happiness, and reducing burnout risk. This study was among the first to identify childlike wonder as an emotional pathway through which mainstream video games could enhance well-being and reduce burnout. By moving beyond escapism and nostalgia, it offers a new perspective on how well-designed, globally familiar games can function as accessible, resilience-building digital microenvironments. These findings contributed to research bridging gaming and mental health and have practical implications for game designers, educators, and health professionals interested in promoting mental wellness through everyday play.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.338
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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