Merlynne
Bibliographic record
Abstract
Human-Computer Interaction researchers have explored how online communities can be leveraged for peer support, but general disinterest and a lack of engagement have emerged as substantial barriers to their use in practice. To address this gap, we designed Merlynne, a serious game that seeks to motivate individuals to support peers through Cognitive Behavioural Therapy (CBT). Our game explored use of the Proteus Effect - a phenomenon where players adopt characteristics of their in-game avatar - to motivate peer support through stereotyped 'helpful' and 'unhelpful' avatars. We then conducted a mixed-methods, exploratory study to investigate its design. We found that our game successfully motivated players to offer peer support, despite the substantial emotional labour required by CBT. However, we were not able to replicate the Proteus Effect, and did not find differences in that support based on a player's avatar. In reflecting on our findings, we discuss design challenges and considerations for the use of serious games to motivate participation in mental health support, including: fatigue, a player's need for self-expression and to relate to those they are supporting, and ludonarrative dissonance.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".